Project Leader .NET

15+ years in enterprise product development

5+ years in Director/VP-level product leadership

Proven AI/ML product commercialization experience

Expertise in Industry 4.0 (IoT, predictive maintenance, digital twins)

Hands-on experience with AWS/Azure/GCP cloud platforms

Strong architecture experience in microservices ecosystems

Experience implementing MLOps and DevSecOps frameworks

Experience integrating MES, ERP, SCADA, automation platforms

SaaS business model and enterprise software commercialization expertise

Experience leading large engineering/product teams

About Us :

CLOUDSUFI, a Google Cloud Premier Partner, a Data Science and Product Engineering organization building Products and Solutions for Technology and Enterprise industries. We firmly believe in the power of data to transform businesses and make better decisions. We combine unmatched experience in business processes with cutting edge infrastructure and cloud services. We partner with our customers to monetize their data and make enterprise data dance.

Our Values :

We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.

Equal Opportunity Statement :

CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace.

Role : Lead AI/Senior Engineer-AI

Location : Noida, Delhi/NCR

Experience : 5- 12 years

Education : BTech / BE / MCA / MSc Computer Science

Must Haves :

Conversational AI & NLU :

- Advanced proficiency with Dialogflow CX

- Intent classification, entity extraction, conversation flow design

- Experience building structured dialogue flows with routing logic CCAI platform familiarity

Agentic AI & Multi-Step Reasoning :

- Production experience with Google ADK (or LangChain/LangGraph equivalent)

- Multi-step reasoning and tool orchestration capability

- Tool-use patterns and function calling implementation

RAG Systems & Knowledge Management :

- Hands-on Vertex AI RAG Engine experience (or equivalent)

- Semantic search, chunking strategies, retrieval optimization

- Document processing pipelines (PDF parsing, chunking)

LLM/GenAI & Prompt Engineering :

- Production experience with Gemini models

- Advanced prompt engineering for customer support

- Langfuse experience for prompt management

Google Cloud Platform & Vertex AI :

- Advanced Vertex AI proficiency (Generative AI APIs, Agent Engine)

- Cloud Functions and Cloud Run deployment experience

- BigQuery for conversation analytics

API Integration :

- Genesys Cloud CX integration experience

- REST API design and webhook implementation

- Enterprise authentication patterns (OAuth 2.0)

Good To Have :

Conversational AI & NLU :

- Multi-language support implementation (Spanish/English)

- Telephony integration (speech recognition, TTS, DTMF)

- Barge-in handling and voice optimization

Agentic AI :

- Agent state management and session persistence

- Advanced fallback strategies and error recovery

- Dynamic tool selection and evaluation

RAG Systems :

- Re-ranking and advanced retrieval quality metrics

- Query expansion and context-aware retrieval

- Corpus organization strategies

LLM/GenAI :

- Prompt versioning, A/B testing, iterative refinement

- Prompt injection mitigation strategies

- In-context learning, few-shot, chain-of-thought techniques

LLMOps & Observability :

- Vertex AI Evaluation Service experience

- Groundedness, relevance, coherence, safety metrics

- Trace-level debugging with Cloud Trace

- Centralized logging strategies

Google Cloud :

- Application Integration connectors

- VPC Service Controls and enterprise security

- Cloud Pub/Sub for event-driven systems

Enterprise Integration :

- Third-party AI agent orchestration (SAP Joule, ServiceNow AI, Agentforce)

- Salesforce, SAP, ServiceNow integration patterns

- Context passage strategies for escalations

Architecture & System Design :

- Configuration-driven systems (Meta-Agent patterns)

- Microservices and containerization

- Scalable, multi-tenant system design

- Disaster recovery and failover strategies

Product Quality & KPIs :

- Customer support metrics expertise (CSAT, SSR, escalation rate)

- A/B testing and experimentation frameworks

- User feedback loop implementation

Deliverables :

- Architecture Design : End-to-end platform architecture, data flow diagrams, Dialogflow CX vs. ADK routing decisions

- Conversational Flows : 15+ dialogue flows covering billing, networking, appointments, troubleshooting, and escalations

- ADK Agent Implementation : Complex reasoning agents for technical support, account analysis, and context preparation

- RAG Pipeline : Document processing, chunking configuration, corpus organization (product docs, support articles, policies, promotions)

- Prompt Management : System prompts, Langfuse setup, playbook governance, version control

- Quality Framework : Evaluation pipeline, metrics dashboards, automated assessment, continuous improvement recommendations

- Integration Layer : Genesys handoff, webhook integrations, Application Integration setup, session management

- Testing & Validation : Conversation flow tests, performance testing (latency, throughput, 1000 concurrent users), security validation

- Response time <2 seconds (p95), 99.9% uptime, 1000 concurrent conversations

- Data encryption (TLS 1.2+, AES-256 at rest), PII redaction, 1-year data retention

- Graceful degradation and fallback mechanisms

Role - Principle Engg | Reactjs

Skill Set - Programming

• React js with Redux,
• HTML5/CSS3
• Javascript
• Mobx (optional)
• Storybook (optional)

Unit Test Cases: Jest & Enzyme

Code Quality:

• SonarQube Knowledge
• Strong hold on unit-testing frameworks and writing effective unit tests

Other Important Skills:

• Engineering & Design Skills
• Good analytical & problem solving skills
• Ability to ship features end to end without much guidance
• Experienced with Agile methodologies

Soft Skills

• Good communication skills
• Zeal to learn new technologies & Methodologies

Primary Responsibilities

• Develop and execute comprehensive digital marketing strategies to drive brand awareness, lead generation, and customer acquisition.
• Manage and optimize digital marketing channels such as search engine optimization (SEO), pay-per-click (PPC) advertising, email marketing, social media marketing, and content marketing.
• Analyze and interpret digital marketing metrics and performance data to identify trends, insights, and areas for improvement.
• Plan, implement and measure experiments and conversion tests.
• Collaborate with cross-functional teams, including marketing, design, and development, to ensure cohesive and integrated digital marketing campaigns.
• Stay up-to-date with the latest digital marketing trends, tools, and best practices, and proactively implement innovative strategies to maximize results.
• Monitor and manage digital marketing budgets, ensuring optimal allocation and ROI.
• Oversee the development and maintenance of the company’s website and ensure it is optimized for user experience and search engine visibility.
• Evaluate and recommend digital marketing platforms, technologies, and vendors to enhance marketing efforts.

These responsibilities are critical in driving the organization’s digital marketing efforts and achieving strategic marketing goals.

Additional Responsibilities

In addition to the primary responsibilities, a digital marketing manager may also be responsible for:

• Managing and leading a team of digital marketing specialists, providing guidance, mentoring, and performance evaluation.
• Conducting market research and competitor analysis to identify opportunities and develop targeted marketing campaigns.
• Collaborating with sales teams to align marketing strategies with sales objectives and support lead nurturing and conversion.
• Overseeing the management and optimization of digital advertising campaigns, including budget allocation, ad copy creation, and performance monitoring.

These additional responsibilities may vary based on the organization’s needs and the digital marketing manager’s capabilities.

• Close new deals at a high rate.
• Build relationships with existing customers.
• Cultivate new leads within the sales territory.
• Travel throughout the territory and visit customers on a recurring basis.
• Manage records of all sales leads and/or customer accounts.
• Reclose new deals at a high rate.
• Build relationships with existing customers.
• Represent the brand during all customer and prospect interactions.
• Educate customers on how the services can benefit them financially and professionally.
• Monitor the company’s industry competitors and market conditions.

• Expertise in test planning and test strategy design for various types of testing - integration testing, functional testing, system testing and regression.

• Ability to quickly learn the functional aspects of the project & be the quality gatekeeper for the code release.

• Experience in testing the developed UI pages against the UX design to ensure the experience is realised. 

• Experience in creating knowledge artifacts and authoring guides for end-users

• Experience in creating test scenarios, test cases, traceability

• Hands-on experience with JIRA, WIKI, or Zephyr applications

• Understanding and working knowledge in Scrum Methodology

• Experience in Web,mobile, cross browser and device testing.

• Experience in Automation testing with Java and Selenium

• experience in frameworks like TestNG and Cucumber