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.
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.
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.