Gen AI Lead

Job Summary

We are seeking an experienced Generative AI Lead to drive the strategy, architecture, development, and deployment of enterprise-grade AI solutions. The role will lead a team of AI engineers, data scientists, and application developers to build innovative solutions leveraging Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), and intelligent automation technologies.

The ideal candidate should possess strong technical expertise, leadership capabilities, stakeholder management skills, and experience delivering AI solutions at scale.

Key Responsibilities

AI Strategy & Leadership

• Define and execute the organization's Generative AI roadmap.
• Identify business opportunities for AI-driven transformation and automation.
• Lead AI initiatives from ideation through implementation and production deployment.
• Partner with business leaders to prioritize GenAI use cases and measure business value.
• Establish AI governance, security, compliance, and Responsible AI practices.

Solution Architecture

• Design enterprise AI architectures using: 
  • Large Language Models (OpenAI, Azure OpenAI, Claude, Gemini, Llama)
  • RAG frameworks
  • Multi-Agent Systems
  • AI Copilots and Chatbots
• Define scalable architecture patterns for AI applications.
• Develop reusable AI accelerators, frameworks, and best practices.

Technical Delivery

• Lead the development of: 
  • AI Assistants
  • Enterprise Copilots
  • Knowledge Management Solutions
  • Intelligent Document Processing
  • Code Generation Solutions
  • AI-powered Business Automation
• Oversee model selection, prompt engineering, evaluation, testing, and deployment.
• Drive integration of AI solutions with SAP, Microsoft 365, CRM, ERP, ServiceNow, and enterprise applications.

Team Leadership

• Manage and mentor GenAI engineers and solution architects.
• Conduct technical reviews and provide architectural guidance.
• Drive innovation through hackathons, PoCs, and AI labs.
• Build AI competency within the organization.

Required Technical Skills

Generative AI

• Large Language Models (LLMs)
• Prompt Engineering
• Agentic AI
• Retrieval-Augmented Generation (RAG)
• Fine-tuning and Model Evaluation
• Function Calling and Tool Integration
• AI Guardrails & Responsible AI

Frameworks & Tools

• LangChain
• LangGraph
• LlamaIndex
• Semantic Kernel
• CrewAI
• AutoGen
• Azure AI Foundry

Programming

• Python (Mandatory)
• FastAPI
• REST APIs
• Microservices Architecture

Vector Databases

• Pinecone
• Weaviate
• ChromaDB
• FAISS
• Azure AI Search

Cloud Platforms

• Microsoft Azure (Preferred)
• AWS Bedrock
• Google Vertex AI

DevOps & MLOps

• GitHub
• Azure DevOps
• Docker
• Kubernetes
• CI/CD Pipelines
• MLflow

Preferred Experience

• Experience delivering enterprise GenAI programs.
• Building AI solutions using Azure OpenAI.
• AI integration with SAP ECC/S4HANA, Microsoft 365, SharePoint, Teams, Salesforce, and ServiceNow.
• Experience in Healthcare, Pharmaceutical, Manufacturing, BFSI, or Retail domains.
• Managing distributed global delivery teams.

Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Data Science, Engineering, or related field.
• 8-15 years of overall IT experience.
• 3+ years of hands-on AI/ML or Generative AI experience.
• Azure AI Engineer, Azure OpenAI, AWS AI/ML, or equivalent certifications preferred.

Key Performance Indicators (KPIs)

• Successful delivery of GenAI initiatives.
• AI adoption and business value realization.
• Reduction in operational effort through automation.
• Accuracy and reliability of AI solutions.
• Team capability development and innovation outcomes.
• Governance and compliance adherence.

Ideal Candidate Profile

• Strong leadership and stakeholder management skills.
• Ability to engage CXOs and business leaders.
• Excellent problem-solving and analytical abilities.
• Experience building and leading high-performing AI teams.
• Strong communication and presentation skills.