Gen AI Architect

About the Role

We are seeking a visionary and hands-on GenAI 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:
  1. LLMs (e.g., OpenAI, Claude, Mistral, LLaMA, Gemini)
  2. GenAI frameworks: LangChain, LlamaIndex, Haystack, Semantic Kernel
  3. Agentic AI tools: Google Agentspace, ADK, LangGraph, AutoGen, CrewAI, MetaGPT, AutoGPT, OpenAgents
  4. Vector databases: Vertex AI, FAISS, Weaviate, Pinecone, Chroma
  5. Prompt engineering, RAG pipelines, fine-tuning, and orchestration
• Engineering & Architecture
• Strong background in:

1. 1. Java Spring Boot, REST APIs, Microservices
   2. Cloud platforms: AWS, Azure, or GCP
   3. CI/CD, DevSecOps, TDD/BDD
   4. 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

The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

• Cognizant is a global community with more than 300,000 associates around the world.
• We don’t just dream of a better way – we make it happen.
• We take care of our people, clients, company, communities and climate by doing what’s right.
• We foster an innovative environment where you can build the career path that’s right for you.

About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2024) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com.

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

Disclaimer: 
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

While our system allows application in all languages, job required language(s) and proficiency level(s) vary. However, basic English proficiency is required for Company-wide communications purposes.