Infotel India is seeking an accomplished and visionary professional to assume the role of Head of AI Capability Centre. In this pivotal leadership position, you will be responsible for driving the strategic development and operational excellence of our AI Capability Centre, ensuring the delivery of cutting-edge artificial intelligence solutions that align with the organisation’s overarching business objectives.
You will lead a multidisciplinary team of AI experts, fostering a culture of innovation, collaboration, and technical excellence while establishing best practices and frameworks for AI deployment across various domains.
AI Lead / Lead AI Engineer – Enterprise GenAI & Agentic AI
**Location:** Chennai, India
**Experience:** 8–15 Years
**Employment Type:** Full-Time
About the Role
We are seeking an experienced AI Lead to drive the architecture, design and delivery of enterprise-scale AI and Generative AI solutions. This role requires strong technical leadership combined with deep hands-on expertise in LLMs, Agentic AI, RAG architectures, cloud-native AI systems and scalable AI engineering practices.
The ideal candidate will lead AI initiatives, mentor engineering teams, define AI architecture standards and collaborate with business stakeholders to deliver measurable enterprise value through AI transformation.
Key Responsibilities
- Lead architecture and implementation of enterprise AI platforms and GenAI solutions
- Design scalable AI systems involving:
- Data pipeline
- LLM applications
- RAG pipelines
- AI agents and orchestration frameworks
- Multi-agent systems
- AI automation workflows
- Define AI engineering standards, best practices and reusable frameworks
- Lead end-to-end AI delivery from discovery to production deployment
- Mentor AI engineers and conduct technical reviews
- Drive AI solution architecture discussions with customers and stakeholders
- Establish governance, security and responsible AI practices
- Collaborate with cloud, DevOps, data engineering and application teams
- Optimize AI system performance, scalability, observability and operational efficiency
- Evaluate emerging AI technologies and define enterprise adoption strategies
- Support pre-sales, solutioning and innovation initiatives
Required Skills
Leadership & Architecture
- Strong experience in enterprise solution architecture
- Technical leadership experience in AI/ML projects
- Experience managing and mentoring engineering teams
- Strong stakeholder communication and client-facing experience
AI / GenAI Expertise
Hands-on experience with:
- Large Language Models (LLMs)
- Generative AI applications
- Agentic AI systems
- Multi-agent orchestration
- RAG architectures
- Prompt engineering
- AI evaluation and guardrails
AI Frameworks
Strong experience in:
- LangChain
- LangGraph
- KnowledgeGraph
- LlamaIndex
- CrewAI / AutoGen
- OpenAI SDK ecosystem
Cloud & Infrastructure
Experience with:
- AWS Bedrock
- Azure AI / Azure OpenAI
- Google Vertex AI
- Cloud-native AI architecture
- Kubernetes & containerization
- Scalable microservices architecture
Data & Vector Systems
- Vector databases
- Embedding pipelines
- Semantic search systems
- Knowledge graph integrations
- Structured + unstructured data systems
Backend & Engineering
- Python
- FastAPI / API-driven architecture
- Event-driven systems
- Distributed systems design
- CI/CD and DevOps practices
Preferred Qualifications
- Experience delivering enterprise AI programs
- Experience in BFSI, Manufacturing, Retail, Automotive, or Consulting domains
- Exposure to GraphRAG / Knowledge Graphs
- Experience with AI governance and compliance
- MLOps / LLMOps implementation experience
- Experience building reusable AI platforms/frameworks
Education
- Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or related discipline
Ideal Candidate Profile
- Strong engineering mindset with practical delivery experience
- Ability to balance innovation with enterprise scalability and governance
- Passion for building production-grade AI systems
- Strong ownership and problem-solving capability
Skills Required
- Extensive experience in artificial intelligence, machine learning, or related fields, including leadership roles
- Proven track record of managing and scaling high-performing AI teams
- Strong expertise in AI technologies, frameworks, and ethical AI practices
- Demonstrated ability to develop and execute strategic plans
- Excellent leadership, communication, and stakeholder management skills
- Advanced degree in Computer Science, Artificial Intelligence, Data Science, or related discipline
- Experience in budget management and operational planning
- Familiarity with regulatory requirements related to data privacy and AI ethics
What We Do
Infotel UK Consulting: Shaping technical innovation, digital transformation and data management We are at the forefront of technical innovation and digital transformation, providing data management systems, process improvement applications, software design, systems migration, and systems integration. We are also a software vendor, with our GDPR compliance software—Deepeo. We work with clients across numerous business sectors, including automotive, the financial sector, the public sector, and supply chain and logistics. Infotel UK is a subsidiary of The Infotel Conseil Group. Infotel UK was established in 2015 and is headquartered in Newcastle upon Tyne. With the growth of our UK business, we invested in a purpose-built innovation lab, allowing us to further support businesses with their IT requirements. Being part of a global group gives us access to 20 service centres throughout Europe and the USA, making us the perfect local partner to team up with.
