AI Forward Deployed Engineer FDE

AI Forward Deployment Engineer

Location:

US

Function: AI Sales Engineering / AI Business & Design

About the Role

We are looking for a highly skilled and consultative AI Forward Deployment Engineer (FDE) to help clients understand, shape, and activate the potential of AI in their business. This role partners closely with sales, industry specialists, engineering, and clients to turn priority AI use cases into MVPs, POCs, and commercially strong solutions that accelerate deal conversion.

You will sit at the intersection of AI technology, solution architecture, and business value, guiding clients from early‑stage ideation through to validated solution designs. This is a hands‑on, high‑impact role suited for a technical expert who thrives in ambiguous, fast‑moving sales cycles.

In this role you will:

* Drive early‑stage discovery sessions with clients and account teams.

* Identify pain points, value levers, and high‑impact AI opportunities.

* Build "North Star" AI scenarios that illustrate meaningful business transformation.

* Translate vague or complex client questions into clear solution hypotheses and initial architectural logic.

* Design AI solutions by putting together the main components (LLMs, data sources, integrations) under guidance from senior engineers.

* Build prototypes, storyboards, demos, accelerators and reusable agentic blueprints

* Engineer & validate AI agents for reliability, reasoning, safety, and performance

* Lead PoCs, pilots, and phase-0 MVPs across industries

* Create compelling, client‑ready content:
SoWs, proposals, architecture decks, value frameworks, and demo storylines.

* Lead technical walkthroughs, deep‑dives, and competitive differentiation discussions.

* Refine solution narratives based on client feedback and market conditions.

* Oversee seamless transition from sales to delivery, ensuring continuity and clarity.

Work Model:

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position irequiring 3-4 days a week in a client or Cognizant office. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you need to be considered:

* Hands-on experience to Google ADK or CoPilot Studio in building AI Agents (or any tool such as CrewAI, Autogen for building agents)

* Hands-on working knowledge in defining and configuring prompts, instructions, tools, reasoning, guardrails and other similar concepts in AI Agent development

* Strong experience with RAG pipelines, Vector DBs, tokenization, and prompt engineering

* Hands-on experience in creating and maintaining Python libraries, utilize Lang Chain, Hugging Face, OpenAI API, or local models

* Very strong experience with developing RESTful APIs in Python using frameworks like FastAPI and integrate third-party services, UI components and APIs

* Hands-on working with Docker-based deployments, and leveraging Git Hub for code repo and version control is MUST

* Own end-to-end architecture: LLM selection, context engineering, microservices, integrations, and UI.

* Build prototypes, storyboards, demos, accelerators, and reusable agentic blueprints.

* Engineer & validate AI agents for reliability, reasoning, safety, and performance.

* Lead PoCs, pilots, and phase0 MVPs across industries.

* Create thought leadership, reusable assets, and mentor engineering teams.

* Collaborate with hyper-scalers and product partners to craft next generation AI-led experiences.

* Strong communication skills and articulation skills

* Bachelor's Degree or Equivalent Experience

This will help you stand out:

* MS or MBA degree

* Demonstrated ability to turn ambiguous business problems into crisp AI use cases, with clear value hypotheses and measurable outcomes.

* Hands‑on prototyping mindset - able to quickly build functional demos, agent workflows, or LLM‑powered…