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.
