Forward Deployed Engineer

Forward Deployed Engineer (GenAI / Agentic AI)

About The Role As a

Forward Deployed Engineer , you will make an impact by owning end-to-end client engagements and delivering production-grade multi-agent AI solutions that solve complex business problems. You will be a valued member of a high-performing AI delivery pod and work collaboratively with client stakeholders, engineering teams, and Cognizant’s AI Market Unit to drive measurable outcomes.

In This Role, You Will

• Lead small engineering pods (2–3 engineers) embedded with clients, owning delivery from discovery through production deployment
• Translate ambiguous business challenges into scalable agentic AI architectures, including agent design, orchestration, and human-in-the-loop workflows
• Design and build multi-agent systems for enterprise use cases such as document intelligence, process automation, and AI-assisted decisioning
• Drive rigorous evaluation by defining test frameworks, conducting red-teaming, and presenting evidence-based quality outcomes to stakeholders
• Engage with client stakeholders to conduct architecture reviews, lead technical workshops, and communicate trade-offs in business-friendly terms

Work model At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance through our wellbeing programs. Based on this role’s business requirements, this is an

onsite position requiring 5 days a week in a Cognizant or client office in

Chennai, Bangalore, or Hyderabad . The working arrangements for this role are accurate as of the date of posting. This may change based on project and client requirements.

What You Need To Have To Be Considered

• Hands-on experience delivering GenAI solutions from prototype to production in real-world environments
• Strong programming expertise in Python and working knowledge of TypeScript / JavaScript
• Experience with agentic AI frameworks such as LangGraph, AutoGen, CrewAI, or Semantic Kernel
• Proven experience designing and deploying cloud-native solutions (e.g., Kubernetes, serverless, managed AI services)
• Solid understanding of data engineering concepts including ETL, streaming systems, and working with vector/relational databases
• Experience working in enterprise environments with security, compliance, and governance constraints
• Ability to present technical solutions and trade-offs to senior technical and business stakeholders

These will help you stand out

• Experience diagnosing and recovering stalled AI initiatives and bringing them into production successfully
• Strong problem-solving mindset with the ability to challenge and refine client use cases to maximize ROI
• Familiarity with AI evaluation frameworks, observability, and safety/guardrail tooling
• Experience working in regulated industries such as BFSI, healthcare, retail, manufacturing, or supply chain
• Proven ability to mentor engineers and elevate overall delivery quality within a team

Additional Information We’re excited to meet people who can make an impact in a variety of ways. Don’t hesitate to apply, even if you meet most (but not all) of the requirements. Your transferable skills and unique experiences matter.