Job DescriptionRole Overview - AI Lead Engineer (GenAI & Agentic AI)Location - Pune / HyderabadExperience: 10-15+ Years (including 3-5+ years in AI/ML, Generative AI, or Agentic AI Solutions)Role OverviewWe are looking for an experienced AI Lead Engineer to drive the design, architecture, and delivery of enterprise-grade AI solutions leveraging Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. The ideal candidate will have a strong software engineering background combined with expertise in AI solution design, AI agent orchestration, cloud platforms, and modern MLOps practices.Key Responsibilities

- Lead the design, architecture, and implementation of AI/GenAI solutions.
- Build and deploy scalable LLM-powered applications and RAG systems.
- Design and implement Agentic AI and Multi-Agent systems for business automation and intelligence.
- Define enterprise AI architecture, governance, security, and best practices.
- Collaborate with business stakeholders, product teams, and engineering teams to deliver AI solutions.
- Mentor development teams and drive AI innovation initiatives.
- Evaluate emerging AI technologies and recommend adoption strategies.

Technical Skills

- Strong expertise in AI Solution Architecture & Design.
- Strong programming skills in Python and Temporal.
- Experience with Tensor Flow, PyTorch, Scikit-learn (preferred).
- Expertise in Generative AI, LLMs, RAG, Vector Databases, AI Agents, and Multi-Agent Systems.
- Hands-on experience with Lang Chain, Llama Index, Semantic Kernel, Lang Graph, CrewAI, Auto Gen, or similar frameworks.
- Strong understanding of Prompt Engineering, Fine-Tuning, Embeddings, and RAG Optimization.
- Experience with Azure OpenAI, OpenAI GPT Models, Claude, Gemini, Llama, Mistral, or equivalent foundation models.
- Knowledge of Model Context Protocol (MCP), Tool Calling, Function Calling, and Agent Orchestration.
- Experience with Pinecone, Qdrant, Weaviate, ChromaDB, FAISS, Azure AI Search, or similar vector databases.
- Experience with Azure AI Services, Azure OpenAI, AWS AI/ML Services, or Google Vertex AI.
- Strong understanding of MLOps/LLMOps practices using MLflow, Kubeflow, Databricks, Azure ML, etc.
- Experience with APIs, microservices, Docker, Kubernetes, and cloud-native architectures.
- Knowledge of SQL, NoSQL databases, and data engineering concepts.




- Experience with AI monitoring, observability, evaluation frameworks, and governance practices.

Preferred Qualifications

- Experience in GraphRAG, Knowledge Graphs, and Enterprise Search solutions.
- Exposure to AI governance, compliance, and Responsible AI practices.
- Experience leading AI transformation initiatives and customer-facing engagements.

Qualifications

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Your Task

We are looking for an experienced AI Lead Engineer to drive the design, architecture, and delivery of enterprise-grade AI solutions leveraging Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. The ideal candidate will have a strong software engineering background combined with expertise in AI solution design, AI agent orchestration, cloud platforms, and modern MLOps practices. This role requires 10-15+ years of experience, including 3-5+ years in AI/ML, Generative AI, or Agentic AI Solutions. This position is based in Pune or Hyderabad.

Key Responsibilities

- Lead the design, architecture, and implementation of AI/GenAI solutions
- Build and deploy scalable LLM-powered applications and RAG systems
- Design and implement Agentic AI and Multi-Agent systems for business automation and intelligence
- Define enterprise AI architecture, governance, security, and best practices
- Collaborate with business stakeholders, product teams, and engineering teams to deliver AI solutions
- Mentor development teams and drive AI innovation initiatives
- Evaluate emerging AI technologies and recommend adoption strategies

Your Profile





We are looking for an experienced AI Lead Engineer with 10-15+ years of experience including 3-5+ years in AI/ML, Generative AI, or Agentic AI Solutions. The ideal candidate will have a strong software engineering background combined with expertise in AI solution design, AI agent orchestration, cloud platforms, and modern MLOps practices.

Must Have Skills

- 10-15+ years of skilled experience
- 3-5+ years of experience in AI/ML, Generative AI, or Agentic AI Solutions
- Strong expertise in AI Solution Architecture and Design
- Strong programming skills in Python
- Strong programming skills in Temporal
- Expertise in Generative AI
- Expertise in Large Language Models (LLMs)
- Expertise in Retrieval-Augmented Generation (RAG)
- Expertise in Vector Databases
- Expertise in AI Agents and Multi-Agent Systems
- Hands-on experience with Lang Chain, Llama Index, Semantic Kernel, Lang Graph, CrewAI, Auto Gen, or similar frameworks
- Strong understanding of Prompt Engineering
- Strong understanding of Fine-Tuning
- Strong understanding of Embeddings
- Strong understanding of RAG Optimization
- Experience with Azure OpenAI, OpenAI GPT Models, Claude, Gemini, Llama, Mistral, or equivalent foundation models
- Knowledge of Model Context Protocol (MCP)
- Knowledge of Tool Calling
- Knowledge of Function Calling
- Knowledge of Agent Orchestration
- Experience with Pinecone, Qdrant, Weaviate, ChromaDB, FAISS, Azure AI Search, or similar vector databases
- Experience with Azure AI Services, Azure OpenAI, AWS AI/ML Services, or Google Vertex AI
- Strong understanding of MLOps/LLMOps practices using MLflow, Kubeflow, Databricks, Azure ML, etc.
- Experience with APIs and microservices
- Experience with Docker
- Experience with Kubernetes
- Experience with cloud-native architectures
- Knowledge of SQL databases
- Knowledge of NoSQL databases
- Knowledge of data engineering concepts
- Experience with AI monitoring, observability, evaluation frameworks, and governance practices

Nice to Have Skills

- Experience with Tensor Flow
- Experience with PyTorch
- Experience with Scikit-learn
- Experience in GraphRAG
- Experience in Knowledge Graphs
- Experience in Enterprise Search solutions
- Exposure to AI governance
- Exposure to compliance practices
- Exposure to Responsible AI practices
- Experience leading AI transformation initiatives
- Experience with customer-facing engagements

📌 AI Lead Engineer (m/f/d) (India)
🏢 T Systems
📍 India