AI Architect

Key Responsibilities

Frontend & Extension Development

• Build and maintain highly responsive, modern user interfaces using React.js for web applications, browser extensions, and Electron-based desktop clients.

• Architect and develop modular, reusable UI components using Material-UI (MUI / Joy UI) and styled-components/Emotion.

• Manage complex multi-target build pipelines (Web, Extension, Electron) using Webpack and Craco.

AI Integration & Engineering

• Seamlessly integrate Generative AI capabilities into the frontend, including AI-driven chatbots, contextual AI suggestions, and RAG (Retrieval-Augmented Generation) interfaces.

• Collaborate closely with backend and AI specialists to consume AI-powered REST APIs and WebSocket streams, ensuring fluid and responsive user experiences.

• Implement robust markdown and code rendering (e.g., react-markdown) for rich AI conversational outputs.

Real-Time Data & State Management

• Implement low-latency, real-time communication features using Socket.IO for chat and collaborative functions.

• Efficiently manage complex application state, data fetching, and caching using modern tools like React Query and Axios.

Quality & Collaboration

• Work within a monorepo/workspace structure to maintain distinct client, component, and extension packages.

• Participate in code reviews to maintain high code quality, performance, and enterprise security standards.

• Collaborate with teams using Agile/Scrum methodologies for rapid and structured delivery.

Required Skills:

• Core Languages: Proficiency in JavaScript (ES6+) and TypeScript.

• Frontend Frameworks: Strong, hands-on experience with React.js (Hooks, Context), React Query, and React Router.

• Styling & UI: Deep understanding of HTML5, CSS3, and CSS-in-JS libraries (e.g., styled-components, react-jss). Hands-on experience with MUI (Material UI / Joy UI) is highly preferred.

• Architecture & Build: Experience configuring and optimizing builds with Webpack and Craco. Familiarity with npm workspaces/monorepos.

• Real-time & APIs: Ability to design and implement robust client-side integrations with RESTful APIs and WebSockets (Socket.IO).

• Agile & Workflow: Experience working with Agile and Scrum methodologies.

Preferred/Bonus Skills:

• Experience in building and packaging Browser Extensions and/or Electron applications.

• Genuine curiosity and awareness of Generative AI workflows (e.g., prompt engineering concepts, handling streaming AI responses).

• Experience with rich text editing or markdown rendering in React.

🧭 Tech Lead (Backend / Fullstack | 7–10 Years)

Location: Bangalore (On-Site, Hybrid)

Company Type: Public-Listed Product Company

We’re Building a “Top 1% Engineering Org”

We’re building a high-talent-density, AI-first R&D organization from scratch — inside a publicly listed company undergoing a full-scale transformation.

Think:

→ Rewriting legacy systems into AI-native architectures

→ Embedding LLMs + Agentic AI into core workflows

→ Reimagining platforms, infra, and data systems for the next decade

This is the kind of shift you’d expect from Google, Microsoft, or Meta —

Except you get to build it from day 0 → scale it globally.

About the Role / Team

We are building a next-generation AI-first R&D organization in Bengaluru, focused on solving complex problems across LLMs, Agentic AI systems, distributed computing, and enterprise-scale architectures.

This initiative is part of a publicly listed global company investing heavily in AI-driven transformation, re-architecting its platforms into intelligent, autonomous systems powered by large language models, workflows, and decision engines.

You will be working on:

• Agentic AI systems & LLM-powered workflows
• Distributed, scalable backend systems
• Enterprise-grade AI platforms
• Automation-first engineering environments

🚀 The Mandate

Lead execution of mission-critical systems while staying hands-on — bridging architecture and delivery.

🧩 What You’ll Do

• Own end-to-end delivery of complex engineering initiatives (0→1, 1→N)
• Design systems across backend + frontend (if fullstack)
• Translate ambiguous problems into structured technical solutions
• Drive engineering best practices, code quality, and velocity
• Mentor engineers and elevate team performance
• Collaborate with stakeholders on roadmap and execution strategy

🧠 What We’re Looking For

• Strong experience in backend systems + optional frontend frameworks
• Proven ability to lead projects and deliver at scale
• Solid understanding of system design and architecture patterns
• Ability to balance speed vs quality vs scalability trade-offs
• Strong communication and leadership without authority
• Strong coding skills in Python / Java / Go / Node.js
• Solid understanding of data structures, system design basics, and backend architecture
• Experience building scalable APIs and services
• Familiarity or curiosity around AI/LLMs, async systems, or event-driven design
• Strong debugging, problem-solving, and ownership mindset

Nice to Have

• Experience integrating LLMs, vector databases, or AI pipelines
• Contributions to architecture at scale
• Experience with Agentic AI / LLM orchestration frameworks
• Background in product engineering or platform companies
• Exposure to global-scale systems (millions of users / high throughput)

🔥 What Sets You Apart

• Experience leading platform builds or major system rewrites
• Exposure to AI systems, LLM integrations, or intelligent workflows
• Built platforms used by millions of users / high-throughput systems
• Experience with event-driven systems, stream processing, or infra platforms
• Prior work on AI/ML platforms, model serving, or intelligent systems

Background: We Commonly See (But Not Limited To)

• Our team often includes engineers from top-tier institutions and strong research or product company or DeepTech or AI Product backgrounds, including:
• Leading engineering schools in India and globally
• Engineers with experience in top product companies, AI startups, or research-driven environments
• That said, we care far more about demonstrated ability, depth, and impact than pedigree alone.

About the Role :

As the Lead AI/ML Engineer, you will be responsible for leading the design, development, deployment, and continuous improvement of AI-powered solutions that create measurable impact in education. This role combines hands-on technical execution with engineering leadership, requiring you to architect scalable AI systems, mentor engineers, establish best practices, and collaborate closely with cross-functional teams to deliver production-grade solutions.

You will take ownership of the complete AI development lifecycle—from problem definition and data pipeline design to model training, deployment, monitoring, and optimization—while ensuring high standards of reliability, scalability, security, and performance. The role also involves evaluating emerging AI technologies and driving their adoption to enhance product capabilities and user experience.

Roles and Responsibilities:

• Lead the design, development, and deployment of AI-powered products for production environments.
• Drive technical architecture and decision-making across machine learning models, inference systems, cloud infrastructure, and distributed computing.
• Develop and maintain end-to-end machine learning pipelines, including data ingestion, model training, evaluation, deployment, monitoring, and continuous optimization.
• Design scalable, secure, and high-performance AI services capable of handling production-scale workloads.
• Provide technical leadership by mentoring engineers, conducting code and design reviews, and fostering engineering excellence.
• Establish and promote best practices for software quality, testing, performance optimization, observability, reliability, and maintainability.
• Collaborate closely with Product, Backend, Mobile, and Data teams to deliver robust, scalable, and business-focused AI solutions.
• Research, evaluate, and implement emerging AI technologies to enhance product capabilities and drive innovation.

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical discipline.
• Minimum 4 years of hands-on experience developing, deploying, and maintaining production-grade AI/ML systems.
• Strong proficiency in Python with excellent software engineering, object-oriented programming, and system design skills.
• Extensive experience with modern machine learning frameworks such as PyTorch, Hugging Face, TensorFlow, or equivalent.
• Proven expertise in deploying, optimizing, and scaling large language models (LLMs) and other AI models for production inference.
• Strong understanding of containerization and cloud-native technologies, including Docker, Kubernetes, AWS, and distributed system architectures.
• Demonstrated ability to lead technical initiatives, mentor engineering teams, and make sound architectural decisions.
• Excellent analytical, debugging, communication, and problem-solving skills.

Preferred Qualifications

• Hands-on experience with Large Language Models (LLMs), Computer Vision, Speech Recognition, Generative AI, or Multimodal AI systems.
• Experience with model optimization and inference technologies such as Quantization, Distributed Training, vLLM, TensorRT, ONNX Runtime, or similar frameworks.
• Prior experience developing AI solutions for the education, public sector, or other large-scale social impact initiatives.

Details:

• Location: Kothrud, Pune.
• Interested candidates should fill in the application on career website   https://careers.vopa.in/                                 
• Salary :- 12 LPA to 14 LPA (Depending on last drawn salary, Interview and Skills)

About CoPoint AI

CoPoint AI is a specialized consulting firm focused on transforming businesses through process improvement, data insights, and technology-driven innovation. We leverage AI technologies, Microsoft cloud platforms, and modern web development frameworks to deliver intelligent, scalable solutions that drive measurable impact for our clients. Our team partners across industries to design and deploy solutions that streamline operations, enhance customer experiences, and enable data-driven growth.

Our Vision 

We transform businesses through process improvement and data insights leveraging AI on the Microsoft stack

Our Values

• Be Purposeful: Think Straight, Communicate, Always Do The Right Thing
• In Partnership: With our Team, For our Clients, In our communities. 
• Create Impact: Deliver value-based solution, help Individual achieve their dream, demand profitable growth.

Role Overview

As a Senior Consultant at CoPoint AI, you will drive end-to-end delivery of both AI-enabled data solutions and modern web applications. You will blend technical expertise in AI, Microsoft platforms, and full-stack web development with business insight to architect and implement impactful solutions across client environments.

Key Responsibilities

• Lead design and implementation of end-to-end data, AI, and web application solutions
• Architect and build responsive, user-friendly web interfaces integrated with enterprise data systems
• Develop and optimize secure, scalable APIs and microservices using cloud-native principles
• Implement AI-powered features in web applications using LLMs, Azure OpenAI, and Cognitive Services
• Guide teams in AI-assisted software development lifecycle improvements
• Build frameworks for responsible AI governance and model monitoring
• Comprehensive understanding of the AI solution landscape
• Leadership experience in AI-enabled digital transformation initiatives
• Expertise in AI adoption strategies and change management
• Ability to translate AI capabilities into measurable business value
• Design multi-model architectures combining analytics, AI, and web experiences
• Act as a subject matter expert in Microsoft Azure and modern web frameworks (e.g., React, Angular, .NET Core)
• Manage project work streams and lead cross-functional delivery teams
• Cultivate and manage client relationships, providing strategic and technical guidance
• Identify and propose innovation opportunities through data and digital experiences
•  Mentor junior developers, analysts, and consultants
• Ensure high quality and consistency in solution delivery and user experience

Qualifications

• Deep expertise in Microsoft data technologies (Azure Data Factory, Synapse, Power BI). 
• Proven experience implementing enterprise AI solutions on Azure 
• Advanced knowledge of large language models and their business applications 
• Expertise in AI-enhanced software development methodologies 
• Experience with AI model evaluation, validation, and responsible deployment 
• Proficiency in developing custom AI solutions using Azure OpenAI, Cognitive Services, and ML services 
• Experience integrating AI into existing enterprise applications and data platforms 
• Experience managing client expectations and delivering high-quality solutions 
• Strong technical leadership and problem-solving capabilities 
• Excellent communication and presentation skills 
• Ability to anticipate client needs and propose strategic solutions

What should You expect:

• A culture of continuous learning with certification support.
• Clear career advancement pathways.
• Competitive compensation and benefits.
• Flexible work arrangements.
• A collaborative environment that values innovation and creativity.

Ready to shape the future of enterprise technology? Join our team of Microsoft technology experts and make an impact.

Role: Senior AI Engineer

Work Location: TechGenzi Coimbatore Office (ODC for Tiramai.ai)

Employment Type: Full-time

Experience: 2–5 years (Full-stack development with AI exposure)

About the Role & Work Location.

The selected candidate will be employed by Tiramai.ai and will work exclusively on Tiramai.ai projects. The role will be based out of TechGenzi’s Coimbatore office, which functions as an Offshore Development Center (ODC) supporting Tiramai.ai’s product and engineering initiatives.

Primary Focus

As an AI Engineer at our enterprise SaaS and AI-native organization, you will play a pivotal role in building secure, scalable, and intelligent digital solutions. This role combines full-stack development expertise with applied AI skills to create next-generation platforms that empower enterprises to modernize and act smarter with AI. You will work on AI-driven features, APIs, and cloud-native applications that are production-ready, compliance-conscious, and aligned with our mission of delivering responsible AI innovation.

Key Responsibilities

• Design, develop, and maintain full-stack applications using Python (backend) and React/Angular (frontend).
• Build and integrate AI-driven modules, leveraging GenAI, ML models, and AI-native tools into enterprise-grade SaaS products.
• Develop scalable REST APIs and microservices with security, compliance, and performance in mind.
• Collaborate with architects, product managers, and cross-functional teams to translate requirements into production-ready features.
• Ensure adherence to secure coding standards, data privacy regulations, and human-in-the-loop AI principles.
• Participate in code reviews, system design discussions, and continuous integration/continuous deployment (CI/CD) practices.
• Contribute to reusable libraries, frameworks, and best practices to accelerate AI platform development.

Skills Required

• Strong proficiency in Python for backend development.
• Frontend expertise in React.js or Angular with 2+ years of experience.
• Hands-on experience in full SDLC development (design, build, test, deploy, maintain).
• Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) or GenAI tools (LangChain, vector DBs, OpenAI APIs).
• Knowledge of cloud-native development (AWS/Azure/GCP), Docker, Kubernetes, and CI/CD pipelines.
• Strong understanding of REST APIs, microservices, and enterprise-grade security standards.
• Ability to work collaboratively in fast-paced, cross-functional teams with strong problem-solving and analytical skills.
• Exposure to responsible AI principles (explainability, bias mitigation, compliance) is a plus.

Growth Path

• AI Engineer (24 years) focus on full-stack + AI integration, delivering production-ready features.
• Senior AI Engineer (4–6 years) lead modules, mentor juniors, and drive AI feature development at scale.
• Lead AI Engineer (6–8 years) own solution architecture for AI features, ensure security/compliance, collaborate closely with product/tech leaders.
• AI Architect / Engineering Manager (8+ years) shape AI platform strategy, guide large-scale deployments, and influence product/technology roadmap.

Tech Lead

Location: On-site, Panaji, Goa

About Joyful

 Joyful is a leading AI-powered stakeholder communication management platform for voice of stakeholder analysis and contact center solutions. Our mission is to use AI to make all interactions between a company and its stakeholders joyful by removing friction. Joyful is a part of Germinait Solutions Pvt. Ltd.

Our Joyful modules, Engage and Listen, help businesses understand and manage stakeholder interactions across digital channels. We enable companies to provide exceptional customer experiences while maximizing the productivity and efficiency of their support teams, all through one seamless platform.

At Joyful, we're committed to fostering meaningful interactions between stakeholders and brands by providing actionable insights, personalized replies, and a joyful experience for customers, users, and employees alike.

The Opportunity

We're seeking a talented Technical Lead who will play a pivotal role in designing, building, and scaling Joyful’s AI-powered products. In this role, you will lead technical architecture decisions, guide the engineering team, and ensure our platform remains robust, scalable, and delightful to use. You’ll work closely with product, design, and business teams to deliver impactful features while maintaining high code quality and performance.

In addition to technical leadership, you’ll champion Vibe Coding—our approach to writing clean, collaborative, and joyful code that engineers love to create and maintain. This means setting the tone for high-quality, maintainable code while fostering an environment where building software is an energizing, shared experience.

What You'll Do

• Technical Leadership & Architecture:
• Lead the design and implementation of scalable, high-performance, and secure software solutions for Joyful’s Engage and Listen platforms.
• Define technical roadmaps, architecture patterns, and coding best practices
• Ensure adherence to software development standards and conduct regular code reviews
• Make critical build-versus-buy and technology adoption decisions
• Team Management & Collaboration:
• Mentor and coach a team of engineers, fostering a culture of learning, ownership, and innovation
• Collaborate with cross-functional teams (product, UX, QA) to align technical solutions with business goals
• Drive agile development practices, including sprint planning, retrospectives, and backlog prioritization
• Identify and resolve bottlenecks in development, deployment, and delivery processes
• Vibe Coding Culture:
• Lead by example in practicing Vibe Coding—writing code that is clean, well-structured, and joyful to work with
• Encourage pair programming, open collaboration, and frequent peer reviews
• Maintain high coding standards while keeping the process creative and energizing for the team
• Promote a development culture where engineers feel motivated, supported, and proud of the work they ship
• Hands-On Development:
• Contribute directly to code when needed—particularly for complex modules, integrations, and performance optimization
• Oversee the development of APIs, microservices, and integrations with third-party platforms
• Ensure robust CI/CD pipelines, test automation, and monitoring systems are in place
• Innovation & Continuous Improvement:
• Stay ahead of emerging technologies in AI, cloud, and enterprise communication platforms
• Propose and implement innovative solutions to improve product performance, security, and maintainability
• Drive proof-of-concepts for new features or architectural improvements
• Ensure systems are designed for high availability, scalability, and disaster recovery

What You'll Need

• 6+ years of professional software development experience, with at least 2 years in a technical leadership role
• Proven expertise in Java (Spring Boot), REST APIs, and microservices architecture
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and container orchestration (Docker, Kubernetes)
• Strong understanding of relational and NoSQL databases
• Experience building scalable, high-availability systems in B2B SaaS or AI-powered products
• Solid knowledge of software design patterns, performance optimization, and security best practices
• Familiarity with frontend technologies (Angular, React, or similar) is a plus
• Excellent communication and stakeholder management skills
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• Passion for AI technologies and building software in a positive, high-energy coding environment

Why Join Joyful?

• Be at the forefront of the AI revolution in stakeholder management
• Lead impactful projects with a culture of Vibe Coding—where high-quality engineering meets great team energy
• Work with a highly skilled and passionate team
• Enjoy significant growth opportunities in a rapidly scaling organization
• A culture that values innovation, ownership, and collaborative problem-solving
• Work from our beautiful office in Goa, combining cutting-edge tech work with a high quality of life

At Joyful, we believe strong technical leadership is key to making every interaction seamless, intelligent, and joyful. If you’re excited about solving complex technical challenges while mentoring teams to deliver exceptional products, we’d love to meet you!

We are looking for skilled AI Engineer for our organization. Please have a look to below details and revert accordingly if we can discuss further

Company Name: TechWize (A Business unit of Mangalam Information Technologies Pvt Ltd.)

Our Accreditations -

• 25 years of industry presence
• Salesforce Partner
• ISO 27001:2019 certified
• Great Place to Work certified
• HIPAA Compliant
• SOC2 Compliant
• NASSCOM Member

Our EVP (Employee Value proposition)

• We are a Great place to work certified company.
• 30 Earned Leaves during calendar Year
• Career progression and continuous Learning & Development (Technical, Soft skills, Communication, Leadership)
• Performance bonus & Loyalty Bonus Benefits
• 5 Days working
• Rewards and Recognition programs
• Standard Salary as per market norms
• Equal career opportunities, No discrimination
• Magnificent & Dynamic Culture
• Festival celebrations & fun events

Explore more : https://techwize.com/, https://mangalaminfotech.com/

Position: AI/Sr. AI Engineer

Job location: Ahmedabad

Experience: 4+ years

Job Overview:

We are seeking a highly experienced and innovative Senior AI Engineer with a strong background in Generative AI, including LLM fine-tuning and prompt engineering. This role requires hands-on expertise across NLP, Computer Vision, and AI agent-based systems, with the ability to build, deploy, and optimize scalable AI solutions using modern tools and frameworks.

Key Responsibilities:

• Design, fine-tune, and deploy generative AI models (LLMs, diffusion models, etc.) for real-world applications.
• Develop and maintain prompt engineering workflows, including prompt chaining, optimization, and evaluation for consistent output quality.
• Build NLP solutions for Q&A, summarization, information extraction, text classification, and more.
• Develop and integrate Computer Vision models for image processing, object detection, OCR, and multimodal tasks.
• Architect and implement AI agents using frameworks such as LangChain, AutoGen, CrewAI, or custom pipelines.
• Collaborate with cross-functional teams to gather requirements and deliver tailored AI-driven features.
• Optimize models for performance, cost-efficiency, and low latency in production.
• Continuously evaluate new AI research, tools, and frameworks and apply them where relevant.
• Mentor junior AI engineers and contribute to internal AI best practices and documentation.

Required Skills & Qualifications:

• Bachelor’s or Master’s in Computer Science, AI, Machine Learning, or related field.
• 4+ years of hands-on experience in AI/ML solution development.
• Proven expertise in fine-tuning LLMs (e.g., LLaMA, Mistral, Falcon, GPT-family) using techniques like LoRA, QLoRA, PEFT.
• Deep experience in prompt engineering, including zero-shot, few-shot, and retrieval-augmented generation (RAG).
• 
  
• Proficient in key AI libraries and frameworks:
• LLMs & GenAI: Hugging Face Transformers, LangChain, LlamaIndex, OpenAI API, Diffusers
• NLP: SpaCy, NLTK.
• Vision: OpenCV, MMDetection, YOLOv5/v8, Detectron2
• MLOps: MLflow, FastAPI, Docker, Git
• 
  
• Familiarity with vector databases (Pinecone, FAISS, Weaviate) and embedding generation.
• Experience with cloud platforms like AWS, GCP, or Azure, and deployment on in house GPU-backed infrastructure.
• Strong communication skills and ability to convert business problems into technical solutions.

Job Summary:

We are seeking a highly skilled Enterprise Architect with expertise in Artificial Intelligence (AI), Microservices, and a background in insurance and healthcare to lead our organization's AI strategy, design AI solutions, and ensure alignment with business objectives. The ideal candidate will have a deep understanding of AI technologies, data analytics, cloud computing, software architecture, microservices, as well as experience in the insurance and healthcare sectors. They should be able to translate these concepts into practical solutions that drive innovation and efficiency within our enterprise. Additionally, this role will involve setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions.

Responsibilities:

AI Strategy Development:

• Collaborate with senior management to define and refine the AI strategy that aligns with the organization's goals and objectives.
• Identify opportunities to leverage AI and machine learning technologies to enhance business processes and create value.

Solution Design:

• Architect AI-driven solutions that meet business requirements, ensuring scalability, reliability, and security.
• Collaborate with cross-functional teams to define system architecture and design principles for AI applications and microservices.
• Evaluate and select appropriate AI technologies, microservices architectures, and frameworks for specific projects.

Data Management:

• Oversee data strategy, including data acquisition, preparation, and governance, to support AI and microservices initiatives.
• Design data pipelines and workflows to ensure high-quality, accessible data for AI models and microservices.

AI Model Development:

• Lead the development and deployment of AI and machine learning models.
• Implement best practices for model training, testing, and validation.
• Monitor and optimize model performance to ensure accuracy and efficiency.

Microservices Architecture:

• Define and implement microservices architecture patterns and best practices.
• Ensure that microservices are designed for scalability, flexibility, and resilience.
• Collaborate with development teams to build and deploy microservices-based applications.

Monitoring Systems:

• Set up monitoring systems for AI and microservices solutions to ensure performance, reliability, and security.
• Implement proactive alerting and reporting mechanisms to identify and address issues promptly.

Integration and Deployment:

• Work with IT teams to integrate AI solutions and microservices into existing systems and applications.
• Ensure seamless deployment and monitoring of AI and microservices solutions in production environments.

Compliance and Security:

• Ensure that AI solutions, microservices, and monitoring systems comply with relevant regulations and data privacy standards.
• Implement security measures to protect AI models, data, and microservices.

Stakeholder Communication:

• Collaborate with business stakeholders to gather requirements and provide regular updates on AI and microservices project progress.
• Translate technical concepts into non-technical language for various audiences.

Research and Innovation:

• Stay up-to-date with emerging AI, microservices, and cloud computing trends, technologies, and best practices.
• Identify opportunities for innovation and propose new AI and microservices initiatives to drive business growth.

Requirements:

• Bachelor's or Masters degree in computer science, Data Science, or a related field.
• Proven experience (X+ years) as an Enterprise Architect with a focus on AI, Microservices, and machine learning.
• Strong knowledge of AI technologies, including deep learning, natural language processing, computer vision, and reinforcement learning.
• Proficiency in data analytics, cloud computing platforms (e.g., AWS, Azure, GCP), big data technologies, and microservices architecture.
• Experience with AI model development, deployment, and monitoring, as well as microservices design and implementation.
• Excellent communication and interpersonal skills.
• Ability to lead cross-functional teams and drive innovation.
• Strong problem-solving and critical-thinking abilities.
• Knowledge of regulatory requirements and data privacy standards related to AI and microservices.

Preferred Qualifications:

• AI-related certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, etc.).
• Experience in industries such as insurance and healthcare, with a deep understanding of their specific challenges and requirements.
• Previous experience with enterprise architecture frameworks (e.g., TOGAF).

This Enterprise Architect with AI, Microservices, Insurance, and Healthcare Experience role offers an exciting opportunity to shape the AI strategy, microservices architecture, and drive innovation within our organization, particularly in the insurance and healthcare sectors. Additionally, you will play a key role in setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions. If you have a passion for AI, microservices, and a strong background in these industries, we encourage you to apply and be part of our dynamic team.

As technical lead, you will be responsible for complete product development including 

1. Identification of technology
2. Shaping engineering practices
3. Hiring engineering team
4. Shaping up the product