Zensar Technologies—Gen AI Lead

Job description

Description: 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. Requirements: 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. Responsibilities: 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.