**Job Title: Gen AI Architect – Retail Technology Office** **About the Role** We are seeking a visionary and hands-on **Gen AI Architect** to lead the design, development, and deployment of cutting-edge Generative AI and Agentic AI solutions in the Retail domain. This role is pivotal in shaping our AI strategy, building innovative offerings, and driving client success through impactful PoCs and solutions. The architect will work closely with the CTO and the Retail strategy office to define the AI roadmap, lead a team of engineers and architects, and represent the company in client engagements and industry forums. **Key Responsibilities** + **Architect and Lead** the development of GenAI and Agentic AI solutions tailored for retail use cases (e.g., personalized shopping, intelligent agents, supply chain optimization). + **Collaborate with the CTO** to define AI strategy, solution blueprints, and innovation roadmaps. + **Design and Build** scalable PoCs, MVPs, and production-grade solutions using state-of-the-art GenAI tools and frameworks. + **Lead and Mentor** a team of engineers and architects, fostering a culture of innovation, quality, and continuous learning. + **Engage with Clients** to present PoVs, conduct workshops, and articulate the value of GenAI solutions with compelling storytelling and technical depth. + **Ensure Engineering Excellence** by applying best practices in TDD, BDD, DevSecOps, and microservices architecture. **Required Skills & Experience** **AI/ML & GenAI Expertise** + Proven hands-on experience with: + **LLMs** (e.g., OpenAI, Claude, Mistral, LLaMA, Gemini) + **GenAI frameworks** : LangChain, LlamaIndex, Haystack, Semantic Kernel + **Agentic AI tools** : Google Agentspace, ADK, LangGraph, AutoGen, CrewAI, MetaGPT, AutoGPT, OpenAgents + **Vector databases** : Vertex AI, FAISS, Weaviate, Pinecone, Chroma + **Prompt engineering** , RAG pipelines, fine-tuning, and orchestration **Engineering & Architecture** + Strong background in: + **Java Spring Boot** , REST APIs, Microservices + **Cloud platforms** : AWS, Azure, or GCP + **CI/CD** , **DevSecOps** , **TDD/BDD** + Containerization (Docker, Kubernetes) **Leadership & Communication** + Exceptional **storytelling and articulation skills** to convey complex AI concepts to technical and non-technical audiences. + Experience in **client-facing roles** , including workshops, demos, and executive presentations. + Ability to **lead cross-functional teams** and drive innovation in a fast-paced environment. **Preferred Qualifications** + Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field + Certifications in AI/ML and Cloud (GCP or Azure) + Experience in the **Retail domain** or consumer-facing industries is a strong plus **Why Join Us?** + Be at the forefront of **AI innovation in Retail** + Work with a **visionary leadership team** + Build solutions that **impact Cognizant’s Retail clients** + Enjoy a **collaborative, inclusive, and growth-oriented culture** Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.