AI Customer Engineer

Cognizant

Seattle (WA)

On-site

USD 140,000 - 200,000

Full time

14 days+

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Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays plus Paid Time Off

401(k) plan and contributions

Long‑term/Short‑term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

A global technology services company seeks an AI – Artificial Intelligence Customer Engineer in Seattle, US, responsible for driving AI solutions for clients. This role involves identifying opportunities, architecting solutions, and guiding clients through their AI journey. Ideal candidates will have hands-on experience with AI tools, strong communication skills, and a Bachelor's degree or equivalent. The position offers an annual salary range of $140,000–$200,000, along with comprehensive benefits, including insurance and a 401(k) plan.

Qualifications

Hands-on experience with AI Agent development tools.
Strong experience in developing RESTful APIs in Python.
Experience with Docker-based deployments.

Responsibilities

Drive discovery sessions with clients.
Identify high-impact AI opportunities.
Design AI solutions and lead prototypes.

Skills

Experience with Google ADK

Proficiency in Python

Experience with RAG pipelines

Knowledge of Docker

Strong communication skills

Hands-on experience with prompt engineering

Education

Bachelor's Degree or Equivalent Experience

Tools

FastAPI

LangChain

Hugging Face

OpenAI API

Job description

AI – Artificial Intelligence Customer Engineer

Location: US

Function

AI Sales Engineering / AI Business & Design

About The Role

We are looking for a highly skilled and consultative AI Customer Engineer 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.

What You Need To Be Considered

Hands‑on experience with Google ADK, CoPilot Studio, or any tool such as CrewAI, Autogen for building agents.
Hands‑on working knowledge in defining and configuring prompts, instructions, tools, reasoning, guardrails, and related 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, utilizing LangChain, Hugging Face, OpenAI API, or local models.
Very strong experience with developing RESTful APIs in Python using frameworks like FastAPI and integrating third‑party services, UI components, and APIs.
Hands‑on experience with Docker‑based deployments and leveraging GitHub for code repository 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 phase‑0 MVPs across industries.
Create thought leadership, reusable assets, and mentor engineering teams.
Collaborate with hyperscalers and product partners to craft next‑generation AI‑led experiences.
Strong communication 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 interactions that accelerate client conviction.
Track record collaborating with hyperscalers, LLM providers, or ISVs in co‑sell or co‑build motions.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don’t hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

Salary And Other Compensation

The annual salary for this position is between $140,000‑$200,000 depending on experience and other qualifications of the successful candidate.

Benefits

This position is also eligible for Cognizant’s discretionary annual incentive program and stock awards, based on performance and subject to the terms of Cognizant’s applicable plans.