AI Native Operation Expert- BPM

Job Summary

•⁠ ⁠We are looking for a visionary technology leader responsible for driving the strategy, automation, and transformation of the enterprise IT operations landscape.

•⁠ ⁠This expanded role will oversee Service Improvement Initiatives and Adoption of AI -Ops & autonomous operations to deliver a self‑healing, predictive, and highly automated IT environment.

•⁠ ⁠This leader is accountable for significantly reducing manual support dependencies by implementing AI‑driven automation frameworks that eliminate L1 support (100%) and reduce L2 support effort by at least 50%, while ensuring world‑class performance, reliability, and security across IT services.

 Key Responsibilities:

1. Strategic & Autonomous Operations Leadership

•⁠ ⁠Define and execute a long-term strategy for AI, autonomous operations, and AI driven service management.

•⁠ ⁠Build /Operationalize an enterprise-wide framework for Autonomous IT Operations (AIOps), ensuring seamless integration with infrastructure, cloud, and SRE functions.

•⁠ ⁠Lead the implementation of AI agents, decisioning engines, and self-healing automation across service operations.

•⁠ ⁠Lead & drive Continual Service Improvement Programs across critical inhouse & partner managed Apps & Infra for higher availability on IT Side.

2. Operational Excellence & Automation Transformation

•⁠ ⁠Achieve 100% elimination of L1 support through predictive automation, intelligent routing, and autonomous resolution workflows.

•⁠ ⁠Deliver 50% reduction in L2 support workload through AI based diagnostics, automated remediations, and knowledge orchestration.

•⁠ ⁠Oversee implementation of AI driven monitoring, anomaly detection, auto triaging, and automated incident remediation.

•⁠ ⁠Optimize IT operations through AIOps, observability platforms, and closed loop automation.

3. Innovation & Technology Modernization

•⁠ ⁠Lead modernization of CI/CD, IaC, and DevSecOps with embedded AI and smart orchestration.

•⁠ ⁠Build a center of excellence for autonomous operations and AI first service engineering.

4. Incident, Problem & Change Management Automation

•⁠ ⁠Deploy automated playbooks, AI guided root cause analysis, and recommendation engines.

•⁠ ⁠Implement self-service and conversational AI capabilities across ITSM platforms.

•⁠ ⁠Ensure proactive detection (MTTD < 5 minutes) and rapid recovery (MTTR < 1 hour) through automation.

5. Stakeholder & Vendor Engagement

•⁠ ⁠Communicate operational health, transformation progress, AI impact, and risk posture to senior leadership.

•⁠ ⁠Partner with cybersecurity, product, and enterprise architecture teams to ensure secure and compliant autonomous operations.

•⁠ ⁠Manage strategic vendor partnerships for AI, observability, infrastructure, and automation technologies.

•⁠ ⁠Drive enterprise-wide AI adoption by conducting workshops and training sessions on AI platforms, identifying high-value business use cases, and acting as the bridge between IT teams and AI engineering. The role will champion AI awareness, translate IT needs into AI solutions, and ensure successful adoption and value realization.

Required Skills & Experience:

•⁠ ⁠Bachelor’s degree in engineering, Computer Science, or related field (B.E./BTech preferred).

•⁠ ⁠15+ years of progressive experience in infrastructure engineering, SRE, DevOps, and IT operations automation.

•⁠ ⁠Strong hands-on experience with AIOps platforms, Agentic AI models, and autonomous operations frameworks.

•⁠ ⁠Proven background in large scale IT modernization, observability, and reliability engineering.

•⁠ ⁠Expertise in cloud operations (AWS/Azure/OCI), Kubernetes, container orchestration etc.

•⁠ ⁠Deep understanding of AI/ML, automation platforms, scripting (Python/Shell), and integration pipelines.

•⁠ ⁠Experience with ITSM platforms, incident automation, and workflow orchestration.

•⁠ ⁠Strong leadership capabilities with experience in driving major automation transformations.

•⁠ ⁠Strong hands-on experience with AIOps platforms, Agentic AI models, and autonomous operations frameworks. 

•⁠ ⁠Knowledge on DevOps and SRE metrics and automation tools (Terraform, CloudFormation, Jenkins, Ansible, etc.).

Job Title: Chief of Staff (AI & Data-Driven Strategy) 

Company: StarApps Studio 

Experience: 4+ years 

Location:Pune (On-site) 

About StarApps Studio 

StarApps Studio is a fast-growing Shopify app development company building high-impact ecommerce SaaS products for global merchants. We operate in a high-ownership, fast-execution environment where data, clarity, and speed matter.

Role Overview 

We are looking for a highly analytical and operational Chief of Staff to serve as the right-hand strategic partner to our founders and leadership team. This role is a force multiplier—you will drive executive execution, improve high-level decision-making, and lead strategic initiatives across the company. This requires strong analytical thinking, AI fluency, and the operational rigor to turn visionary ideas into measurable results.

Key Responsibilities

• Executive Strategy & Alignment: Act as a strategic partner to founders by managing business priorities and driving key organizational deliverables.
• Cross-Functional Leadership: Own the execution of high-impact cross-functional initiatives across Product, Growth, Support, and Operations.
• Business Intelligence: Build dashboards, trackers, and comprehensive reports to empower data-backed leadership decision-making.
• AI & Operational Excellence: Leverage AI tools (ChatGPT, automation, analytics) to aggressively optimize workflows and scale internal productivity.
• Operating Rhythm: Drive the cadence of leadership by preparing strategic meeting agendas, synthesizing notes, and ensuring relentless closure on action items.
• Market & Product Strategy: Conduct deep-dive market, competitor, and product research within the Shopify and SaaS ecosystem to inform strategic direction.
• Stakeholder Management: Drive seamless communication and alignment between internal teams and external partners.
• Trusted Advisor: Maintain strict confidentiality and high ownership while handling ambiguous, complex business challenges.

Preferred Qualifications

• 3+ years of experience as a Chief of Staff, Strategy Consultant, or in a similar strategic role.
• Strong data-driven mindset with proven experience using Excel/Google Sheets, dashboards, and reporting tools.
• High proficiency with AI tools like ChatGPT, Notion AI, automation workflows, and prompt-based productivity.
• Exceptional written and verbal communication skills paired with strong stakeholder management abilities.
• Proven ability to operate in a fast-paced startup environment, taking high ownership of outcomes.
• Elite organizational skills, sharp attention to detail, and the ability to multitask seamlessly across competing priorities.
• Experience in ecommerce, SaaS, the Shopify ecosystem, or tech startups is a strong advantage.
• Comfortable working directly with founders and independently solving ambiguous, unstructured problems.

What We Offer

• Direct exposure to startup leadership and strategic decision-making.
• A high-impact role with a significant ownership and growth trajectory.
• The opportunity to work at the cutting-edge intersection of AI, ecommerce, and product execution.
• Competitive compensation with performance-driven growth opportunities.

Designation: AI Adoption specialist/AI Consultant

Location: Ahmedabad

Work Timings: Primarily Normal Shift (Flexible to support US clients)

Role Overview:

We are seeking a highly skilled and client-centric AI Consultant/AI Adoption Specialist to join our growing team. In this pivotal role, you'll serve as a vital link between our clients' strategic objectives and the transformative power of AI. You'll primarily focus on understanding their needs, scoping opportunities, and architecting actionable AI roadmaps.

Key Responsibilities:

 Collaborate closely with clients to understand their challenges and identify opportunities to apply AI.

 Assess client requirements and prepare solution strategies using AI tools and methodologies.

 Work with internal teams to design, propose, and help execute AI-powered solutions.

 Provide AI-based recommendations that align with the client’s business objectives.

 Communicate technical possibilities in a business-friendly manner to decision-makers.

 Take ownership of the client journey from discovery to implementation and support.

 Stay updated with AI trends, tools, and real-world use cases that can benefit clients.

Required Skills & Qualifications:  Minimum 2+ Years of hands on experience into Custom AI Development.  Minimum 3+ years of experience in roles like Project Manager, Customer Success Manager, or Account Manager, preferably in a service-based company or digital agency.  Strong understanding of AI concepts, trends, and tools (e.g., NLP, ML, Chatbots, Automation, native cloud technologis).  Some hands-on experience in AI projects – either through execution, coordination, or implementation.  Ability to manage multiple client engagements and communicate effectively with both technical and non-technical stakeholders.  Strong problem-solving mind set with the ability to translate business needs into AI opportunities.  Flexible to work with international clients, especially in the US time zone as needed.

Shivalik Design Pvt Ltd — GOTS-certified garment export house in Faridabad, Haryana, manufacturing for UK/EU brands. We are hiring for a full-time, on-site role in Faridabad.

About the role:

We are building AI-driven automation across our factory and export operations. As AI Automation Lead (Operations), you will design, build, and own AI/automation workflows that connect our ERP, WhatsApp, Google Sheets, and email — and roll them out across production, quality, merchandising, and logistics.

Responsibilities:

- Design and deploy automation workflows across ERP, WhatsApp Business, Google Sheets/Drive, and email.

- Build and maintain LLM-powered agents for document processing, query handling, status updates, and reporting.

- Own the automation backlog for factory operations: production planning, dispatch tracking, sample approvals, QC, inventory, and shipping documentation.

- Integrate internal systems (ERP, PLM, messaging) via APIs, webhooks, and low-code platforms.

- Set standards, document flows, train operations staff, and measure impact (time saved, error rate, throughput).

- Collaborate with IT and operations leadership on data, security, and scaling.

Requirements:

- 3–5 years experience with n8n, Make (Integromat), Python, and LLM agents.

- Hands-on automation across ERPs, WhatsApp Business API, Google Workspace (Sheets, Drive, Gmail, Calendar), and email workflows.

- Strong Python; comfort building REST API connectors, webhooks, and scheduled jobs.

- Experience prompting, fine-tuning, or orchestrating LLMs (OpenAI, Anthropic, Gemini, open-source) into agentic workflows.

- Comfort working on-site with factory/operations teams and translating business needs into automation.

Nice to have:

- Garment/apparels/exports domain experience.

- Experience with SAP, Oracle, Tally, Zoho, or similar ERPs.

- Knowledge of OCR, document extraction, and structured data pipelines.

Compensation: ₹14–24 LPA, full-time, on-site at Faridabad (Haryana).

Job Details

Position Title: AI Evangelist

Role Purpose

We are seeking a highly experienced AI Evangelist & Core AI Engineer who combines deep technical expertise in Artificial Intelligence with the ability to influence, educate, demonstrate, and accelerate AI adoption across the enterprise.

The role requires deep understanding of AI, Machine Learning, Deep Learning, Generative AI, Large Language Models, Agentic AI, AI engineering, and modern software development practices, combined with significant hands-on experience implementing scalable AI applications in complex enterprise environments.

Key Responsibilities

1. Core AI Engineering & Architecture

• Design, develop, and implement enterprise-grade AI and Generative AI applications.
• Build scalable applications using LLMs, multimodal models, AI agents, RAG, vector databases, knowledge graphs, APIs, and enterprise data platforms.
• Architect AI solutions capable of supporting enterprise-scale workloads with appropriate considerations for:
• Scalability
• Reliability
• Security
• Performance
• Observability
• Cost optimization
• Governance
• Develop and implement advanced Retrieval-Augmented Generation (RAG) architectures including hybrid search, reranking, metadata filtering, semantic retrieval, and knowledge grounding.
• Build multi-agent and agentic AI applications capable of reasoning, tool usage, workflow execution, orchestration, and enterprise system integration.
• Design AI applications integrating structured and unstructured enterprise information.
• Evaluate architecture choices between commercial models, open-source models, small language models, domain-specific models, and hosted AI platforms.
• Implement model routing, prompt orchestration, caching, guardrails, evaluation pipelines, and fallback strategies.
• Work closely with cloud, platform, security, enterprise architecture, DevOps, and application engineering teams.

2. Deep AI / ML / DL Expertise

The candidate should have strong conceptual and practical understanding across the modern AI technology landscape, including:

• Artificial Intelligence /Machine Learning/ Deep Learning/ Neural Networks /LLM/SLM/RAG/Graph RAG / MLOps / LLMOps / GenAIOps

3. Generative AI & LLM Engineering

• Build production-grade applications utilizing leading commercial and open-source LLM ecosystems.
• Design scalable LLM platforms supporting multiple enterprise applications and use cases.
• Develop reusable LLM services, APIs, components, agent frameworks, and reference architectures.

4. AI Agents & Automation

• Design and implement AI agents and agentic workflows that automate complex business and engineering processes.
• Build agents capable of interacting with enterprise applications, APIs, databases, documents, development environments, and workflow platforms.
• Evaluate emerging agent architectures and orchestration frameworks pragmatically.
• Develop reusable patterns for:
• Single-agent systems
• Multi-agent systems
• Human-in-the-loop workflows
• Autonomous workflows
• Tool-calling agents
• Coding agents
• Enterprise knowledge agents
• Establish appropriate controls for AI agent identity, permissions, auditability, security, and human oversight.

5. AI-Enabled Software Engineering

Drive adoption of AI throughout the Software Development Life Cycle.

Strong AI Forward Deployed Lead/Architect Profile owning the full journey from client discovery to production, hands-on and client-facing

2

Mandatory (Experience 1): Must have 7+ years of experience, with hands-on production AI/ML work (LLMs, NLP, computer vision or advanced analytics)

3

Mandatory (Experience 2): Must be deeply hands-on, able to build SLMs, agentic structures, RAG pipelines, LLM orchestration and multi-modal systems, and get into cost/credit optimisation detail, not just high-level oversight

4

Mandatory (Experience 3): Must have 4+ years client-facing as a trusted AI advisor to CXOs/VPs of Operations/IT leaders, with a proven presales/solution-consulting track record (technical discovery, use-case scoping, solution design, ROI framing, PoC demos, blueprints, RFP/RFI responses)

5

Mandatory (Experience 4): Must have run workshops, AI readiness assessments and value-stream-mapping sessions, navigated ambiguous problem spaces, and built long-term client relationships that lead to referrals and expanded mandates

6

Mandatory (Experience 5): Must have designed and deployed end-to-end AI systems (ingestion, pipelines, deployment, monitoring, iteration), owning production constraints, integration, change management, go-live, client acceptance and post-deployment success, owning outcomes and fixing what breaks

7

Mandatory (Experience 6): Must have worked directly with enterprise-level clients in a client-facing capacity

8

Mandatory (Experience 7): Must have built and led their own team, creating a pod structure per project, and mentored junior AI engineers and consultants

9

Mandatory (Tech skill 1): Must be hands-on with Python, LLM frameworks (LangChain/LlamaIndex/HuggingFace) and cloud AI (AWS/Azure/GCP)

10

Mandatory (Skill 1): Must have strong storytelling, making complex AI accessible to business audiences without dumbing it down, and define AI architecture patterns and bring emerging frameworks/research back to the team

11

Mandatory (Skill 2): Must take strong ownership, be genuinely enthusiastic and client-facing (not a pure-research or low-energy profile), thrive in ambiguity and 0 to 1 environments, and want to join long-term as part of the company (ESOP pool)

12

Mandatory (Company): Must have experience across both services and product (this is a services-plus-product hybrid; candidates keen on pure product only are not a fit)

13

Mandatory (Background): Must come from an AI/ML, data analytics or data-platform company with enterprise client delivery, ideally with startup or growing-company experience having seen AI build cycles in 0 to 1 / ambiguous environments; Supply Chain AI exposure, or manufacturing/logistics, B2B SaaS AI or MLOps background, a plus

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Mandatory (Pedigree): Must have strong pedigree, ideally IIT, then BITS/NITs/IIITs, with a CSE/IT background; strong equivalent capability also considered

AI Project Manager

About Techjays

At Techjays, we are driving the future of artificial intelligence with a bold mission to empower businesses worldwide by helping them build AI solutions that transform industries. As an established leader in the AI space, we combine deep expertise with a collaborative, agile approach to deliver impactful technology that drives meaningful change. Our global team consists of professionals from leading companies such as Google, Akamai, NetApp, ADP, and Cognizant.

Role Overview

We are seeking a seasoned Project Manager to oversee the successful delivery of complex AI-driven projects. You will be responsible for bridging organizational goals with cross-functional execution, ensuring that our technical teams deliver high-quality solutions on schedule and within budget.

Key Recruitment Details

• Experience Required: 8 + Years (Minimum 6+ years in end-to-end project management)
• Work Location: Coimbatore / Hybrid
• Target Joining Date: (ASAP / Within 30 days)

Must-Have Qualifications

• Proven Execution: 6+ years of experience managing the complete lifecycle of enterprise-grade software projects.
• Agile Expertise: Advanced proficiency in Agile/Scrum methodologies, with a track record of facilitating sprint planning, stand-ups, and retrospectives.
• Technical Proficiency: Mastery of project management tools including Jira, MS Project, or Trello.
• Strategic Planning: Demonstrated experience in resource allocation, risk mitigation, and contingency planning.
• AI Enthusiasm: Experience leveraging AI tools in project management or a demonstrated passion for adopting AI technologies to optimize workflows.
• Stakeholder Management: Exceptional communication skills for managing both internal cross-functional teams and external client relationships.

Roles & Responsibilities

• Project Governance: Plan, execute, and monitor projects to ensure alignment with client expectations and organizational benchmarks.
• Team Leadership: Facilitate high-performing Agile environments, fostering a culture of collaboration, innovation, and technical ownership.
• Risk & Budget Management: Identify potential bottlenecks early, implement mitigation strategies, and manage project budgets to ensure optimal resource utilization.
• Reporting & Transparency: Track project progress using modern metrics, preparing detailed reports and presentations for senior management.
• Continuous Improvement: Analyze project outcomes to implement best practices and drive operational discipline across the engineering organization.
• Mentorship: Elevate team members through active support and guidance, ensuring professional growth within the team.

Success Milestones

Timeline

Expectations

First 30 Days

Audit active project pipelines, establish stakeholder relationships, and assume management of ongoing sprint cycles.

First 60 Days

Optimize resource allocation workflows, streamline cross-team communication, and implement improved risk-tracking mechanisms.

First 90 Days

Achieve >85% sprint commitment completion rate and stabilize project delivery predictability across assigned teams.

What Techjays Offers

• Competitive Compensation: Best-in-class packages structured to reflect experience and impact.
• Health & Wellness: Medical insurance covering self and family up to ₹4 lakhs per person.
• Flexibility: A trust-based time-off policy and a flexible hybrid work model.
• Environment: A casual work culture with a diverse, multicultural team that respects ideas regardless of designation.
• Growth: Meaningful professional development in an innovation-driven culture.

Analytics Lead – AI & Decision Intelligence

Technical Leadership | People Management | Client Engagement | AI / Data / ML

About the Role

Our client is an enterprise AI and Decision Intelligence product company building advanced solutions for banking,

financial services and insurance. Its work spans predictive analytics, Machine Learning, Generative AI and Agentic AI,

with a strong focus on production-ready deployment, explainability, governance and measurable business outcomes.

The company is looking for an experienced Analytics Lead – AI & Decision Intelligence to lead a multidisciplinary team

of Data Scientists, ML Engineers, AI Engineers and other technical specialists.

This is a technical leadership, people management and client-facing role. The successful candidate is not expected to

be a hands-on expert in every area of AI, Data Science and Machine Learning. Instead, the ideal person will bring deep

expertise in at least one core AI/Data/ML discipline, together with the technical breadth and managerial capability to

lead specialists across multiple domains.

You will provide direction to technical teams, translate business problems into AI-led solutions, drive successful

delivery, and act as a key interface between highly technical teams and clients. A critical part of the role is the ability to

simplify complex technical concepts and communicate them clearly to senior and non-technical stakeholders.

What You’ll Do

 Lead and manage a multidisciplinary team of Data Scientists, ML Engineers, AI Engineers and Analytics

professionals.

 Provide technical direction across AI, Machine Learning and Data Science initiatives while enabling specialists to

own their areas of expertise.

 Translate business and customer requirements into appropriate analytical and AI solution approaches.

 Own delivery across scope, priorities, timelines, technical quality and business outcomes.

 Review and challenge technical approaches, solution designs and architecture without needing to be the hands-on

specialist in every area.

 Mentor, develop and motivate technical team members and build a strong culture of collaboration and

accountability.

 Establish and reinforce best practices around model development, deployment, governance, monitoring and

continuous improvement.

 Work closely with Product, Engineering, Sales and Customer Success teams on solution development and product

roadmaps.

 Lead client workshops, technical discussions and solution presentations.

 Explain complex AI and analytics concepts in simple, business-friendly language to senior and non-technical

stakeholders.

 Support pre-sales, solutioning and customer-facing technical engagements.

Technical Capabilities

Candidates should have strong exposure to the broader AI and Data Science ecosystem. Relevant capabilities include:

 Machine Learning & Deep Learning

 Statistical Modeling

 Python and SQL

 Data Science frameworks such as Scikit-learn, XGBoost, LightGBM, TensorFlow or PyTorch

 Data Engineering concepts and Feature Engineering

 Predictive and Prescriptive Analytics

 Model Explainability

 MLOps, CI/CD, model deployment and monitoring

 Generative AI and Large Language Models (LLMs)

 Retrieval-Augmented Generation (RAG)

 AI Agents and Agentic AI architectures

Analytics Lead – AI & Decision Intelligence | LinkedIn Job Description

 Prompt Engineering

 Responsible AI, model governance and regulatory considerations

 Cloud platforms such as AWS, Azure or Google Cloud

Important: You do not need to be an expert in all of the above. We are looking for deep expertise in at least one core

area of AI, Data Science, Machine Learning, ML Engineering, Generative AI, MLOps or Data Engineering, combined with

sufficient breadth to effectively lead experts in adjacent areas.

What We’re Looking For

 5–8 years of overall experience in AI, Data Science, Machine Learning, Analytics, Data Engineering or a related

technology discipline.

 Proven experience leading or managing teams of Data Scientists, ML Engineers, AI Engineers or similar technical

professionals.

 Strong people management, mentoring, delegation and team-building capabilities.

 Experience leading complex technical projects involving multiple specialist disciplines.

 Strong client-facing, stakeholder management and project delivery skills.

 Ability to communicate technical concepts clearly to non-technical audiences.

 Strong presentation skills and confidence engaging senior business stakeholders.

 Ability to balance technical considerations with business priorities and delivery objectives.

 Strong problem-solving, decision-making, organisational and managerial skills.

Preferred Experience

 Experience delivering AI or analytics solutions in Banking, Financial Services or Insurance.

 Exposure to use cases such as credit risk, fraud detection, customer acquisition, marketing analytics, collections,

deposits or pricing analytics.

 Experience working in an AI product, technology consulting or enterprise analytics environment.

 Exposure to Generative AI, LLM and Agentic AI programmes.

 Understanding of Responsible AI, explainability and regulatory considerations.

Education

 Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science, Statistics, Mathematics or a

related discipline.

 MBA preferred, but not essential.

The Profile We’re Looking For

We are looking for a technical leader who can lead experts — not someone expected to be the expert in everything.

Technical Depth + People Leadership + Client Management + Delivery Ownership

If you have strong expertise in one area of AI/Data/ML, have successfully managed technical teams, and can

confidently engage with both technologists and business leaders, we would like to hear from you.

Job Title : Head of AI / Forward Deployed AI Architect

Experience : 7+ Years

Job Location : Kokapet, Hyderabad

Working Model : Work From Office (5 Days a Week)

Working Days : Monday to Friday

Work Timings : 09:00 AM to 05:00 PM / 09:00 AM – 06:00 PM

Notice Period : Maximum 60 Days

Reporting To : CEO

About the Role :

We are looking for a highly experienced, hands-on Head of AI / Forward Deployed AI Architect who can lead the company's AI technology function and drive end-to-end AI solution delivery, from client discovery and solution architecture to development, deployment, and production success.

This is a strategic yet deeply technical and client-facing leadership position. The ideal candidate should have strong experience in AI/ML engineering, LLMs, Generative AI, agentic workflows, RAG architectures, and enterprise AI deployments, along with proven expertise in presales, solution consulting, and managing enterprise client relationships.

The person will work directly with the CEO, lead the technical department, establish project-based engineering pods, mentor AI engineers and consultants, and contribute to building the company's long-term AI architecture and technology strategy.

The company operates on a Services-to-Product (Services as Software) model, combining enterprise AI consulting, implementation, and reusable AI-powered solutions.

Mandatory Skills :

Python, Generative AI, LLMs, SLMs, RAG, Agentic AI, LangChain, LlamaIndex, Hugging Face, NLP, AI/ML, Multimodal AI, AWS / Azure / GCP, AI Solution Architecture, Production AI Deployment, Technical Presales, Enterprise Client Management, Team Leadership.

Key Responsibilities :

1. Enterprise Client Engagement & AI Consulting :

• Lead technical discovery sessions with enterprise and mid-market clients across global markets.
• Understand business challenges, operational pain points, data maturity, and AI readiness.
• Engage with CXOs, VPs of Operations, IT leaders, and other senior stakeholders as a trusted AI advisor.
• Conduct AI readiness assessments, technical workshops, and value-stream-mapping sessions.
• Translate ambiguous business requirements into practical AI use cases and implementation roadmaps.
• Build long-term client relationships that generate repeat business, referrals, and expanded engagements.

2. AI Solution Architecture & Presales :

• Own end-to-end solution design for AI consulting proposals, including use-case identification, technical architecture, data requirements, and ROI estimation.
• Develop and present technical PoCs, solution blueprints, architecture diagrams, and proposals.
• Work closely with commercial teams to create technically strong and commercially viable proposals.
• Lead technical responses to RFPs and RFIs.
• Define AI architecture patterns covering LLM orchestration, RAG pipelines, agentic AI workflows, and multimodal AI systems.
• Evaluate emerging AI frameworks, technologies, and research to identify opportunities for business adoption.

3. Hands-on AI Engineering & Deployment :

• Design, develop, and deploy production-grade AI/ML solutions using Python and modern AI frameworks.
• Build and optimize LLM applications, Small Language Models (SLMs), RAG pipelines, agentic systems, and multimodal solutions.
• Work on the complete AI lifecycle, including data ingestion, preprocessing, model development, orchestration, deployment, monitoring, and optimization.
• Handle production constraints, system integrations, scalability, performance, latency, and AI infrastructure costs.
• Optimize LLM token consumption, API credits, model usage, and overall solution economics.
• Troubleshoot production issues, improve system performance, and ensure successful client deployments.
• Drive go-live milestones, client acceptance, and post-deployment success metrics.

4. Technical Leadership & Team Development :

• Lead and develop the company's overall AI and technology department.
• Build a scalable project-based engineering pod structure for different client engagements.
• Define team structures, technical ownership, delivery responsibilities, and engineering standards.
• Recruit, mentor, and develop AI engineers, data scientists, and technical consultants.
• Guide teams on AI architecture, engineering best practices, client communication, and production delivery.
• Collaborate with engineering and data science teams to ensure technical feasibility and high-quality implementation.
• Establish reusable architecture patterns, internal frameworks, and solution accelerators.

5. Technology Strategy & Innovation :

• Define the company's long-term AI technology roadmap and architecture standards.
• Drive innovation across Generative AI, LLM applications, agentic workflows, RAG, and multimodal AI.
• Identify emerging technologies and frameworks that can improve solution delivery and business outcomes.
• Contribute to internal knowledge development through technical documentation, case studies, whitepapers, playbooks, and reusable AI accelerators.
• Help evolve the company's services business towards scalable, repeatable, product-oriented AI solutions.

Mandatory Skills & Experience :

1. Overall Experience :

• 7+ years of overall professional experience.
• Strong hands-on experience in AI/ML, Generative AI, NLP, Computer Vision, or advanced analytics.
• At least 4 years of experience in client-facing AI consulting, presales, solution architecture, or technical advisory roles.
• Proven experience working directly with enterprise-level clients.

2. Core AI & Technical Expertise :

• Strong programming experience in Python.
• Hands-on experience with LLMs, SLMs, and Generative AI applications.
• Experience building and deploying :
• RAG (Retrieval-Augmented Generation) pipelines.
• Agentic AI architectures and multi-agent workflows.
• LLM orchestration and application frameworks.
• Multimodal AI systems.
• NLP and advanced AI/ML solutions.
• Experience with frameworks such as LangChain, LlamaIndex, Hugging Face, or equivalent.
• Hands-on exposure to AWS, Azure, or GCP AI/ML services.
• Understanding of AI model deployment, monitoring, scalability, and production optimization.
• Strong understanding of API integrations, data pipelines, and enterprise system integration.
• Knowledge of LLM cost optimization, token usage, inference efficiency, and API credit management.

3. Presales & Solution Consulting :

• Proven experience in technical presales and AI solution consulting.
• Ability to lead technical discovery, use-case scoping, solution design, and ROI framing.
• Experience creating PoCs, technical demonstrations, architecture blueprints, and proposals.
• Experience responding to enterprise RFPs and RFIs.
• Ability to conduct workshops and AI readiness assessments.
• Strong communication and presentation skills, with the ability to explain complex AI concepts to business stakeholders.

4. Leadership & Client Management :

• Experience building and leading technical teams.
• Ability to establish project-based engineering pods and manage multiple delivery teams.
• Experience mentoring AI engineers, data scientists, and technical consultants.
• Strong ownership of project delivery, deployment, client acceptance, and business outcomes.
• Ability to manage ambiguity and work in a fast-paced startup environment.

5. Business & Industry Background :

• Experience working across both IT services/consulting and product-based environments.
• Preferably from AI/ML companies, data analytics firms, AI consulting organizations, data-platform companies, or B2B SaaS organizations.
• Experience in startup or growing organizations with 0-to-1 AI product or solution development exposure.
• Supply Chain AI, Manufacturing, Logistics, B2B SaaS AI, or MLOps experience will be an added advantage.

6. Educational Background :

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related technical discipline.
• Preferred institutions: IITs, BITS, NITs, and IIITs.
• Strong equivalent academic and professional credentials will also be considered.

Preferred Qualifications :

• Experience handling international clients across the US, Europe, Middle East, or Southeast Asia.
• Strong cross-cultural communication and stakeholder management skills.
• Experience in enterprise AI transformation and large-scale AI implementation.
• Exposure to Supply Chain, Manufacturing, Logistics, or Industrial AI use cases.
• Experience building AI teams and technical functions from an early-stage startup environment.

Ideal Candidate Profile :

The ideal candidate will be a hands-on AI technology leader with strong enterprise consulting and presales capabilities, who can independently own the complete AI engagement lifecycle.

The candidate should :

• Be equally comfortable discussing AI strategy with a CXO and building an AI solution hands-on.
• Have successfully taken AI solutions from initial client discovery to production deployment.
• Demonstrate strong technical depth rather than only high-level architecture or managerial experience.
• Have experience building and scaling technical teams.
• Be comfortable working in ambiguous, fast-moving startup environments.
• Demonstrate strong ownership, business understanding, communication, and problem-solving abilities.
• Be interested in a long-term technical leadership opportunity with equity participation.

Additional Information :

• This is a replacement position for the former AI Head / CTO.
• The company is an approximately one-year-old, self-funded startup with around 10 employees and positive operating performance.
• The position reports directly to the CEO.
• The organization follows a hybrid services-to-product business strategy, moving towards a Services-as-a-Software model.
• Five-day working week.
• Work timings : 09:00 AM to 05:00 PM or 09:00 AM to 06:00 PM.
• Work Location : Kokapet, Hyderabad.
• Candidates from any location across India can apply, provided they are open to relocating to Hyderabad.

Interview Process :

1. Initial Discussion : First-round discussion with the Founder or CFO to understand the candidate's background, experience, leadership capabilities, and expectations.
2. Technical Assessment : One or two technical rounds involving live scenarios to assess practical AI architecture, problem-solving, and hands-on technical expertise.
3. Final Interview : Mandatory face-to-face interview at the Hyderabad office.

Looking for an Architect with strong experience in AI and Data Engineering, preferably with hands-on experience in Generative AI (GenAI). Candidates with experience in any cloud platform (AWS, Azure, or GCP) will be considered,