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Senior Ai Software Engineer Jobs in Bothell, WA (NOW HIRING)

Senior AI Engineer

Seattle, WA · On-site

$150K - $220K/yr

We are seeking a highly skilled Senior Software Engineer, AI to design, build, and deploy ... production-grade AI agents that augment workflows across our organization. The ideal candidate has ...

Senior AI Engineer

Seattle, WA · On-site

$118K - $163K/yr

As a Senior AI Engineer on the AI Venture Studio team, you will be a hands-on senior individual ... Partner with frontend engineers throughout the software delivery lifecycle to define clean API ...

Senior Software Engineer, Agentic AI

Redmond, WA · On-site

$137K - $180K/yr

We are now looking for a Senior Software Engineer, Agentic AI! NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of ...

New

Senior Software Engineer

Redmond, WA · On-site

$160K - $261K/yr

We are looking for a Senior Software Engineer to join Copilot Studio's AI Orchestration team, which is responsible for leveraging and optimizing generative AI models to perform actions, make ...

... for AI-enabled software development. This role is centered on maximizing localized engineering ... As a Senior Engineer within the Developer Intelligence pillar, you will be an autonomous ...

Senior Software Engineer, Applied AI Location: Seattle, WA; Austin, TX; Boston, MA; Washington, DC 1 day onsite per week Position Summary At HackerOne, we're revolutionizing offensive security by ...

Senior Software Engineer

Redmond, WA · On-site

$137K - $180K/yr

As a Senior Software Engineer, you'll build and operate the platforms that power how Microsoft does ... Use AI tools across the full SDLC in a disciplined way. Own the quality of AI-generated ...

Senior Software Engineer, AI Networking

Seattle, WA · On-site

$139K - $183K/yr

NVIDIA seeks a senior software engineer to join the AI Networking co-design and benchmark R&D team. In this pivotal role, the candidate is responsible for building and productizing machine learning ...

Senior AI Engineer - Privacy

Bellevue, WA · On-site

$117K - $162K/yr

Senior AI Engineer - Privacy Location: Bellevue, WA (Onsite from Day 1) Job Type: Contract Must Have Skills: * 7 yrs of exp - AI Engineer - Privacy * 7 yrs of exp - Azure Data Factory, Azure , GitLab ...

... for AI-enabled software development. This role is centered on maximizing localized engineering ... As a Senior Engineer within the Developer Intelligence pillar, you will be an autonomous ...

Senior AI Engineer

Seattle, WA · On-site

$139K - $183K/yr

Your Role As a Senior AI Engineer, you are a highly skilled individual contributor responsible for designing, building, and deploying AI solutions that support foundation and affiliate staff around ...

New

Senior Software Engineer

Redmond, WA · On-site

$119K - $234K/yr

We are transforming engineering through AI-powered platforms, modern security practices and ... We're looking for a Senior Software Engineer to join the Surface Engineering team to build secure ...

Senior AI Engineer - Privacy

Bellevue, WA · On-site

$117K - $162K/yr

Senior AI Engineer - Privacy Location: Bellevue, WA Duration: 6 Months Job Type: Temporary Assignment Work Type: Onsite * The Senior AI Engineer - Privacy will design, build, and operationalize AI ...

Senior/Principal AI Engineer

Seattle, WA

$142K - $196K/yr

This role sits at the intersection of ML and platform engineering: partnering closely with software ... Senior AI Engineer Basic Qualifications * 7+ years experience as a member of a data science ...

Showing results 41-60

Senior Ai Software Engineer information

See Bothell, WA salary details

$84.4K

$160.2K

$214.6K

How much do senior ai software engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for senior ai software engineer in Bothell, WA is $160,184.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,900.00 and $180,500.00 per year, depending on experience, location, and employer.

What is the salary of senior AI software engineer in AI?

The salary of a senior AI software engineer typically ranges from $100,000 to $160,000 annually, depending on experience, location, and company size. Additional compensation may include bonuses, stock options, and benefits, especially in competitive tech environments requiring expertise in machine learning, deep learning, and programming languages like Python or TensorFlow.

What does a senior AI software engineer do?

As a Senior AI Software Engineer, you will frequently work cross-functionally with data scientists and product teams to design, develop, and deploy AI solutions. You’ll translate complex models developed by data scientists into scalable, production-ready code, and ensure the solutions meet performance and reliability standards. Regular communication with product managers and stakeholders is essential to align technical deliverables with business objectives, and you may also mentor junior engineers in best practices for AI system integration.

What are the key skills and qualifications needed to thrive as a senior AI software engineer?

To thrive as a Senior AI Software Engineer, you need deep expertise in machine learning, programming languages such as Python or Java, and a strong background in computer science or a related field, often with an advanced degree. Familiarity with frameworks like TensorFlow or PyTorch, experience deploying models to production, and knowledge of cloud platforms are typically required, along with certifications in AI or data science being advantageous. Strong problem-solving abilities, leadership, and effective communication skills distinguish top performers in this role. These skills ensure the ability to design, build, and scale AI solutions that drive innovation and deliver business value.

What is a senior AI software engineer?

Senior AI Software Engineers are experienced professionals who design, develop, and deploy artificial intelligence (AI) systems and applications. They lead complex projects involving machine learning, deep learning, and data analysis, often mentoring junior engineers and collaborating with data scientists. Their responsibilities include creating scalable AI models, optimizing algorithms, and ensuring that AI solutions meet business objectives. They typically possess advanced knowledge of programming languages such as Python and experience with AI frameworks like TensorFlow or PyTorch. Additionally, they stay updated on the latest AI trends and best practices to drive innovation within their organizations.

What is the difference between Senior Ai Software Engineer vs Data Scientist?

AspectSenior Ai Software EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with AI frameworksBachelor's/Master's in CS, Statistics, or related; experience with data analysis
Work EnvironmentDevelops AI models, software, and algorithms; collaborates with engineering teamsAnalyzes data, builds predictive models, interprets data insights
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

While both roles require strong technical skills and experience with AI tools, Senior Ai Software Engineers focus on developing and deploying AI software solutions, whereas Data Scientists primarily analyze data to generate insights and build predictive models. The roles often overlap but differ in their core responsibilities and focus areas.

What are popular job titles related to Senior Ai Software Engineer jobs in Bothell, WA? For Senior Ai Software Engineer jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Senior Ai Software Engineer jobs in Bothell, WA look for? The top searched job categories for Senior Ai Software Engineer jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Senior Ai Software Engineer jobs? Cities near Bothell, WA with the most Senior Ai Software Engineer job openings:
Infographic showing various Senior Ai Software Engineer job openings in Bothell, WA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 49% In-person, and 51% Remote job distribution, with an average salary of $160,184 per year, or $77 per hour.

Senior AI Engineer

QXO

Seattle, WA • On-site

$150K - $220K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago


QXO rating

8.0

Company rating: 8.0 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

113th of 409 rated retail wholesalers


Job description

QXO is a leading distributor and installer of building products serving an $800 billion market. The company's mission is to modernize the building products industry through advanced technology and a best-in-class customer experience. QXO is North America's largest distributor and installer of insulation, the second-largest distributor of roofing products, the second-largest publicly traded distributor of lumber and building materials, and the largest distributor of waterproofing products. The company is targeting $50 billion in annual revenue within the decade through accretive acquisitions and organic growth. For more information, visit QXO.com.
What you'll do:
We are seeking a highly skilled Senior Software Engineer, AI to design, build, and deploy production-grade AI agents that augment workflows across our organization. The ideal candidate has hands-on experience with agentic frameworks, MCP servers, LLM orchestration libraries, and robust testing/monitoring practices. This role blends software engineering excellence with applied machine learning and offers the opportunity to push the boundaries of intelligent automation in real business environments.
Responsibilities
AI Agent Development & Deployment
  • Architect, build, and optimize AI agents using modern agent frameworks (e.g., LangChain, LlamaIndex, OpenAI/MCP-based ecosystems, or equivalents).
  • Implement MCP (Model Context Protocol) servers, custom tools, and integrations to enable secure and scalable agent capabilities.
  • Design agentic workflows that can operate autonomously, perform multi-step reasoning, and interact with structured/unstructured data sources.
  • Package and deploy agents into production environments with attention to reliability, observability, and performance.

Sales & Marketing Agent Use Cases
  • Build agents that support Sales Representatives, such as:
  • Lead and account research, enrichment, and prioritization.
  • Drafting and personalizing outbound emails and sequences.
  • Summarizing calls, meetings, and account activity to drive next-best actions.
  • Integrating with CRM and sales tools (e.g., Salesforce, HubSpot, Outreach) to automate data entry and insight surfacing.
  • Generating detailed bills of materials (BOMs), estimates, and quotes from drawings, specs, takeoffs, or CRM/opportunity data, including price checks, margin validation, and versioning.
  • Build agents that support Marketing, such as:
  • Generating and localizing content for campaigns, landing pages, and nurture programs.
  • Assisting with audience segmentation, experimentation, and performance analysis.
  • Powering internal "marketing copilots" that answer questions from campaign, web, and analytics data.
  • Partner with the business to identify high-ROI workflows for automation and to measure the impact of deployed agents on pipeline, conversion, quoting speed/accuracy, and engagement metrics.

Systems Engineering & Tooling
  • Develop internal libraries, reusable modules, and standardized patterns for building agentic applications.
  • Integrate agent systems with enterprise APIs, cloud services, databases, pricing/catalog systems, and operational infrastructure.
  • Build CI/CD pipelines for both model-related code and agent-specific behavior, including automated testing, evaluation harnesses, and regression detection for LLM-powered systems.

Testing, Evaluation & Monitoring
  • Create frameworks for continuous evaluation of agents, including prompt tests, scenario simulations, and safety/robustness checks.
  • Monitor agent performance in production, diagnose failures, and iterate quickly on improvements.
  • Implement logging, analytics, and feedback loops to guide ongoing training or refinement-especially for critical revenue and quoting workflows.

Collaboration & Strategy
  • Work closely with product, engineering, Sales, Marketing, and domain experts to translate business processes into agentic flows.
  • Partner with stakeholders to identify automation opportunities and design AI-powered operational solutions.
  • Contribute to internal documentation, best practices, and AI engineering guidelines.

What you'll bring:
Required
  • 3-7+ years of experience as a Software Engineer, Machine Learning Engineer, or AI Engineer (flexible based on seniority).
  • Proven experience building AI agents or LLM-driven applications in production contexts.
  • Hands-on work with libraries/frameworks such as LangChain, OpenAI/MCP, LlamaIndex, or similar orchestration tools.
  • Proficiency with Python (or Typescript/Node) and modern development workflows.
  • Experience integrating LLMs with external tools, APIs, vector databases, and retrieval systems.
  • Strong understanding of CI/CD, containerization (Docker), cloud deployment (AWS/GCP/Azure), and DevOps fundamentals.
  • Familiarity with automated testing approaches for LLM applications (unit tests, scenario testing, eval harnesses).
  • Excellent problem-solving skills and the ability to design resilient systems in ambiguous environments.

Preferred
  • Experience deploying and scaling MCP servers, custom toolchains, or enterprise agent frameworks.
  • Prior work building tools or automations for Sales, Marketing, or RevOps teams (e.g., CRM-integrated apps, quoting tools, outbound tooling, marketing analytics or experimentation platforms).
  • Background or project experience in the building industry (construction, materials distribution, building automation, supply chain, procurement) or other B2B industry.
  • Experience with workflow engines (Airflow, Prefect, etc) and/or MLOps (Mlflow, Flyte, etc) and event-driven architectures.
  • Familiarity with vector and search/retrieval systems.
  • Understanding of prompt engineering, model fine-tuning, or RLHF-style evaluation frameworks.

What you'll earn
  • Base pay range: $150,000 - $220,000
  • Annual performance bonus
  • Long term incentive (equity/stock)
  • 401(k) with employer match
  • Medical, dental, and vision insurance
  • PTO, company holidays, and parental leave
  • Paid Time Off/Paid Sick Leave: Applicants can expect to accrue 15 days of paid time off during their first year (4.62 hours for every 80 hours worked) and increased accruals after five years of service.
  • Paid training and certifications
  • Legal assistance and identity protection
  • Pet insurance
  • Employee assistance program (EAP)

QXO is an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, religion, gender or sexual orientation, national origin, age, disability, or any other protected status.
To comply with Pay Transparency laws, employers must disclose an annual salary range. Actual offers depend on factors such as location, experience, skills, and market data. This position may also offer variable compensation.
Please contact careers@QXO.com if you have any questions related to this job posting.
Salary Range:
USD $150,000.00 - USD $220,000.00 /Yr.

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