31 ai implementation engineer jobs at 12 companies in Bothell, WA
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Addison or Bellevue or Durham or Emeryville or Reston
$154k-$200k/yrHybridFull Time
Tanium: Unified endpoint management and cybersecurity platform for global enterprises.
4+ YOE4+ years in software, platform, or data engineering; hands-on experience implementing AI solutions (prompt engineering, embeddings, RAG) and operating production systems; experience with enterprise integrations and SaaS platforms.
Microsoft 365, Salesforce, ServiceNow, Anthropic, OpenAI, Microsoft
Slalom: Provides business and technology consulting and software engineering services.
3+ YOE3+ years implementing ML/AI in production, 1+ years consulting experience, experience with LLMs/RAG/fine-tuning, strong Python and cloud (AWS/Azure/GCP) skills, familiarity with Databricks or Snowflake, and coaching/communication ability.
Senior Applied AI Solutions Architect — Amazon Connect
Seattle or Arlington or Atlanta or New York or Denver or Herndon or Chicago or Mountain View or San Francisco
$154k-$239k/yrOnsiteFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
7+ YOE7+ years technical experience, 3+ years design/implementation or consulting, experience with AI/ML (LLMs, prompt engineering, RAG), familiarity with MCP/A2A, ability to travel ~25%, hands-on coding and integrations.
Jaan Health: AI-powered platform for proactive chronic care management.
7+ YOE7+ years building and maintaining production SaaS systems; strong architecture skills; experience with Ruby on Rails, Python, Elixir, JavaScript frameworks, SQL databases, cloud platforms, TDD and AI implementation; healthcare experience preferred.
Sr Specialist Member of Technical Staff - AI Workflow Automation
Bothell, Washington, United States
$128k-$192k/yrOnsiteFull Time
AT&TNYSE: T: Provides wireless and fiber optic telecommunication services.
Experience designing and implementing workflow automation, AI-enabled solutions, analytics, and process improvements; working knowledge of Jira, Power BI, Git, APIs; strong communication and program/process discipline.
Gradial: Automates enterprise marketing operations and content supply chains.
5+ YOE5+ years software engineering/implementation experience, proficiency with TypeScript and APIs, experience with LLMs/generative AI, enterprise/customer-facing experience, strong communication and problem-solving skills, willingness to travel <10%.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Contribute to Siri by designing and implementing AI-powered, privacy-first assistant features across Apple platforms to deliver user-centered experiences.
AxonNASDAQ: AXON: Develops weapons and software for law enforcement and safety.
7+ YOE7+ years delivering/managing public safety software testing, training, or implementations; expertise in SQL/SSMS, Power BI/SSRS, dashboarding, data modeling, AI-assisted development tools; ability to pass CJIS background check.
SQL Server Management Studio (SSMS), SQL, Microsoft Power BI, SSRS, Cursor, Claude, Gemini
The Walt Disney CompanyNYSE: DIS: Produces media content and operates global theme parks.
7+ YOE2+ Mgmt7+ years hands-on engineering experience, Moveworks Agent Studio expertise, 2+ years leading engineering teams and AI implementations, experience with offshore/nearshore teams, API integrations with ServiceNow/SAP/Workday, strong communication and delivery skills.
Seattle or Ridley Park or North Charleston or Mesa or Arlington or Chicago or Houston or Portland or San Antonio or Huntsville or Everett or Renton
$159k-$225k/yrHybridFull Time
BoeingNYSE: BA: Designing and manufacturing commercial aircraft and defense systems.
8+ YOE8+ MgmtBachelor's degree, U.S. Person required, 8+ years IT management experience (cloud, DevOps, data architecture), 5+ years implementing cloud data/AI infrastructure, experience with data engineering, stakeholder management, and leading teams.
AWS, Azure, Google Cloud, Databricks, Snowflake, Kubernetes