AI Customer Engineer

Cognizant

Hybrid

Quick summary

Work type: Hybrid
Location: Seattle, WA
Salary: $200,000–$235,000 / yr
Posted: 29 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $203k

This role $218k

$153k most similar roles pay here $254k

This role pays more than 62% of similar roles. Most pay $162,687–$244,050 — the shaded band above. At the midpoint, this role pays about $218k versus about $203k for comparable roles.

Based on 240 similar postings.

Employer

About Cognizant

Cognizant is a multinational IT services and consulting company offering digital transformation, technology, and business process services. It serves clients across financial services, healthcare, manufacturing, and other industries worldwide.

Cognizant currently has 32 open roles on FindRole.

Listed pay typically runs $134,000–$194,000 across 29 roles with salary data.

Most-posted roles

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At a glance

TL;DR · AI Customer Engineer

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As an AI Forward Deployed Engineer (FDE) at Cognizant, you will join the AI Sales Engineering team to lead client discovery and solution shaping for high-impact AI projects. Your day-to-day responsibilities include conducting ideation sessions, translating client needs into detailed solution hypotheses, and developing end-to-end AI architectures that integrate data, ML pipelines, and partner components. You will also create client-ready artifacts such as proposals and architecture decks, orchestrate cross-functional teams, and guide opportunities through governance checkpoints. This role requires expertise in AI/ML, GenAI, and enterprise data architectures, along with strong collaboration skills across sales, engineering, and delivery teams. Experience in creating AI prototypes and proofs of concept is a plus, as well as familiarity with hyperscalers and partner ecosystems.

Skills

AI ML GenAI Cloud Platforms Enterprise Data Architectures System Integration Hyperscalers CI/CD Python R Java Kubernetes Docker AWS Azure GCP Salesforce Snowflake PostgreSQL MongoDB Git JIRA Confluence Terraform Prometheus Grafana

What you'll do

Lead client discovery sessions to explore how GenAI and AI can solve business challenges.
Translate client needs into solution hypotheses, conceptual flows, and high-impact AI scenarios.
Design end-to-end AI solution architectures including data, ML, integration patterns, and partner components.
Develop and present client-ready solution artifacts such as proposals, architecture decks, and demo narratives.
Guide opportunities through governance checkpoints to ensure smooth handoff to delivery teams.

What we're looking for

Experience in AI/ML, GenAI, or solution architecture, including large language models.
Proven ability to lead discovery workshops and technical deep dives with clients.
Demonstrated success shaping complex AI opportunities through proposals and design.
Strong understanding of enterprise data architectures, ML pipelines, and cloud platforms.
Ability to collaborate across sales, engineering, and delivery teams for successful outcomes.
Experience creating AI prototypes or proofs of concept during pursuit cycles.
Track record of orchestrating multi-disciplinary pursuit teams and managing trade-offs.

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