Staff AI Customer Engineer

Cognizant

Hybrid

Quick summary

Work type: Hybrid
Location: Seattle, WA
Salary: $150,000–$220,000 / yr
Posted: 7 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $207k

This role $185k

$138k most similar roles pay here $258k

This role pays less than 68% of similar roles. Most pay $167,449–$246,150 — the shaded band above. At the midpoint, this role pays about $185k versus about $207k 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

View all roles at Cognizant

At a glance

TL;DR · Staff AI Customer Engineer

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As a Staff AI Customer Engineer, you will lead client discovery sessions with CxO audiences to shape AI-driven solutions that deliver measurable business value. You’ll embed with strategic clients to build production-ready AI applications and own the end-to-end engineering lifecycle from prototype through deployment. Your responsibilities include shaping solution architectures, building trusted executive relationships, and partnering throughout MVP cycles while managing expectations and enabling client teams for scaled implementation. The role requires expertise in Python, additional programming languages, and deep knowledge of LLMs, agentic architectures, and MLOps at scale across AWS Bedrock, Google Vertex AI, and Azure AI Foundry. You will also contribute to the development of reusable deployment patterns and mentor junior engineers, ensuring a comprehensive handoff to delivery teams for successful scaled implementation.

Skills

Python AWS Bedrock Google Vertex AI Azure AI Foundry LLMs MLOps LangGraph CrewAI Microsoft Agent Framework LangSmith Langfuse Arize Phoenix Braintrust RAG PostgreSQL CI/CD Kubernetes Terraform

What you'll do

Lead early-stage discovery sessions with CxO audiences to frame high-value AI opportunities.
Embed with clients to build production-ready AI applications, owning the end-to-end engineering lifecycle.
Shape end-to-end AI solution architectures, defining platforms and integration patterns for scalable solutions.
Develop client-ready solution artifacts like proposals and architecture decks that make complex AI accessible.
Mentor junior engineers through deal reviews and coaching sessions.

What we're looking for

8+ years experience in AI/ML engineering, solution architecture, pre-sales, or technical consulting.
Proven ability to lead structured discovery workshops and design complex AI solutions.
Demonstrated success deploying generative AI solutions at scale in enterprise environments.
Strong production coding skills in Python and another language; fluency in enterprise integration patterns.
Deep expertise in LLMs, agentic architectures, MLOps/LLMOps, and evaluation frameworks.
Multi-hyperscaler depth across AWS Bedrock, Google Vertex AI, Azure AI Foundry for model selection and optimization.

Customer Engineer - AI / ML

Qualcomm

San Diego, CA 55 days ago $108,300–$162,500

C/C++ Python PyTorch TensorFlow OpenCV Linux QNX Android ML frameworks JTAG GDB LLMs Vision-language models Snapdragon platforms MLOps Linear algebra Quantization Deep learning architectures Debugging tools CI/CD

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