Gen AI Lead (ME) | Grade - E2

Grade - E2

Job Description

We are seeking a hands-onAITechnicalLeader with deep expertise inGenerativeAIand AgenticAIto spearhead the design, development, and delivery of next generationAIplatforms and products. This role combines technicalleadership, presales excellence, DevOps know-how, and executive presence. The successful candidate will be equally comfortable writing production-grade code,leading engineering teams, and presenting transformativeAIsolutions to C-level executives.

You will play a pivotal role in building modern AI platforms, driving innovation and delivery excellence, and winning strategic deals by shaping and articulating compelling AI-led solutions.

Primary Skills

• Key Responsibilities

  TechnicalLeadership & Delivery

  • Lead end-to-end delivery of sophisticatedAIplatforms and products, ensuring scalability, reliability, and performance.
  • Build and mentor cross-functional teams of developers, data scientists, and ML engineers.
  • Define architectural blueprints, enforce engineering best practices, and champion responsibleAIprinciples.
  • Stay ahead of emergingAItrends and ensure solutions leverage the latest frameworks and platforms.

  Hands-on Development

  • Actively design, code, and deploy production-gradeAIsolutions using Python (and familiarity with Java/Scala).
  • Build, fine-tune, and operationalize Large Language Models (LLMs) across OpenAI (GPT models), Anthropic (Claude), Google Gemini, Meta LLaMA, Falcon, and Mistral.
  • Apply advanced frameworks and libraries such as LangChain, LlamaIndex, Hugging Face Transformers, and RAG (Retrieval-AugmentedGeneration) architectures.
  • Agentic Frameworks & MCP Integration (critical focus)
  • Autonomous & Multi-Agent Systems: DevelopAIagents and multi-agent architectures that orchestrate tasks, collaborate, and divide work for complex workflows.
  • MCP Server Integration: Build and deploy Model Context Protocol (MCP) servers to expose tools and data, enabling agents to interact with external systems and databases.
  • Agentic Framework Expertise,Standardized Interfaces,Multi-Agent Systems,Deep Understanding of Agentic Frameworks

  Platforms & Infrastructure

  • Deploy AI workloads on enterprise-grade platforms
  • ArchitectAI/ML pipelines with Kubernetes (K8s), Docker, Terraform, and GitHub Actions for CI/CD.
  • Integrate vector databases (Pinecone, Weaviate, Milvus, ChromaDB, Redis Vector Search) and knowledge graphs (Neo4j) into scalable production systems.
  • Ensure data pipelines leverage Delta Lake, BigQuery, Elasticsearch, and other modern data architectures.

  DevOps, CI/CD & Testing

  • Implement modern DevOps practices, ensuring automation, scalability, and high availability ofAIsolutions.
  • Design and maintain CI/CD pipelines for rapid deployment ofAImodels and services.
  • Apply LLM testing, evaluation, and monitoring techniques (including Deepeval, unit/integration testing forAIagents, and benchmark validation).
  • Monitor model drift, performance, and safety using best-in-class tools.

  Presales & Client Engagement

  • Act as a trusted advisor during pre-sales engagements, helping shapeAIstrategies and solutions tailored to client needs.
  • Author and present winning proposals, RFP responses, and solution blueprints that differentiate our offerings.
  • Collaborate closely with sales teams to drive business growth, influencing C-level and senior decision-makers.
  • Deliver thoughtleadership through workshops, demos, and speaking engagements at industry forums.

  Executive Presence &Leadership

  • Represent the company in senior executive discussions, client boards, and industry panels.
  • Translate highly complexAIconcepts into business-impact storytelling that resonates with non-technicalleaders.
  • Inspire confidence, build long-term relationships, and establish the organization as aleader in enterpriseAI

Skills and Experience

• 15+ years in technology leadership with at least 5 years in AI/ML solution delivery.
• Proven track record inGenerativeAI, AgenticAI, andAIproduct development.
• Deep coding expertise in Python, with ability to prototype and deliver production-ready solutions
• Hands-on experience with LLMs,AIagent frameworks, RAG architecture, and MCP-based systems.
• Expertise in agentic frameworks (LangChain, LangGraph, etc.) and multi-agent system design.
• Strong knowledge of cloud-nativeAI/ML platforms (Azure, AWS, GCP) and MLOps.
• Mastery in DevOps, CI/CD pipelines, andAItesting/evaluation frameworks (e.g., Deepeval)
• Successful presales background with proposal writing, solutioning, and client engagement.
• Exceptional presentation, communication, and executive stakeholder management skills.

Nice-to-Have

• Experience with responsibleAI, governance, and compliance frameworks.
• Exposure to multi-modalAI(text, image, audio, video).
• Prior experience working in consulting or client-facing delivery roles.
• Contributions to open-sourceAIframeworks or published research inAI/ML.