About this role
At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.
Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.
We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status. 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.