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Hugging Face Jobs in Seattle, WA (NOW HIRING)

Launch Consulting

Sr. Data Scientist

Bellevue, WA · On-site

$140K - $180K/yr

Deep expertise in Python, including libraries such as scikit-learn, pandas, NumPy, TensorFlow, PyTorch, spaCy, and/or Hugging Face. * Strong understanding of statistical modeling, regression ...

Tata Consultancy Services

AI Enterprise Architect

Seattle, WA · On-site

$78.50 - $101.25/hr

TensorFlow, PyTorch, Hugging Face, NLP, computer vision, time-series modeling • AI Strategy, Architecture, and Roadmap Planning • Python / R / TypeScript Programming • AI Frameworks (LangChain ...

Trase Systems

Vice President, Finance

Seattle, WA · On-site

Trase is at the forefront of AI Agent innovation, topping the Hugging Face GAIA Leaderboard for Generalized AI Assistants, ahead of industry giants such as Google, Meta, Microsoft, and OpenAI. We are ...

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How much do hugging face jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for hugging face in Seattle, WA is $17.59, according to ZipRecruiter salary data. Most workers in this role earn between $14.76 and $20.77 per hour, depending on experience, location, and employer.

What is the difference between Hugging Face vs Machine Learning Engineer?

AspectHugging FaceMachine Learning Engineer
Required CredentialsTypically requires knowledge of NLP, deep learning, and Python; certifications are optionalRequires degrees in CS or related fields; experience with ML frameworks; certifications beneficial
Work EnvironmentCollaborative, research-focused, often in tech companies or startupsDevelopment, deployment, and optimization of ML models in various industries
Employer & Industry UsageUsed by AI/ML companies, research labs, and open-source communitiesEmployed across tech, finance, healthcare, and other sectors implementing ML solutions

Hugging Face primarily focuses on NLP tools, libraries, and open-source models, serving as a platform for AI research and development. Machine Learning Engineers develop, implement, and optimize ML models across various domains. While Hugging Face offers resources and tools that ML Engineers use, the roles differ: Hugging Face is a platform, whereas Machine Learning Engineer is a job role involving hands-on model development and deployment.

What are popular job titles related to Hugging Face jobs in Seattle, WA? For Hugging Face jobs in Seattle, WA, the most frequently searched job titles are:
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What cities near Seattle, WA are hiring for Hugging Face jobs? Cities near Seattle, WA with the most Hugging Face job openings:
Hugging Face jobs near you
Infographic showing various Hugging Face job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $36,588 per year, or $17.6 per hour.

AI Customer Engineer

Cognizant Technology Solutions

Seattle, WA • On-site

$140K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

52nd of 72 rated business consultants

Job description

Description - External
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 Engineers 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 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 LangChain, 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 GitHub 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 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.
Benefits: Cognizant offers the following benefits for this position, subject to apply
Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
  • 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

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, based on applicable law.
Work Authorization
Must be legally authorized to work in the United States without the need for employer sponsorship, now or any time in the future.
  • #LI-MB1

About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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