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

Senior AI Software Engineer

Seattle, WA · On-site

$139K - $183K/yr

We are looking for a Senior AI Software Engineer who thrives at the intersection of infrastructure, DevOps, and applied AI. In this role you will design and build intelligent automation systems that ...

Senior Software Engineer, AI Resiliency

Redmond, WA · On-site

$137K - $180K/yr

We are now looking for a Senior Software Engineer for AI Resiliency! At NVIDIA, we are pushing the boundaries of what's possible in AI. We are currently seeking a Senior Software Engineer to lead the ...

Senior AI Software Architect

Redmond, WA · On-site

$165K - $296K/yr

We are seeking a Senior AI Software Architect to join the AI Systems Architecture (ASA) group ... PhD in Computer Science,Computer Architecture, Electrical Engineering, Machine Learning, High ...

Principal AI Software Engineer

Seattle, WA · On-site

$153K - $206K/yr

Principal AI Software Engineer - Cloud AI Platforms At NICE, we are not just building software-we are transforming how cloud operations are run using AI. We are building intelligent platforms that ...

Sr. AI Engineer

Everett, WA · On-site

$115K - $158K/yr

Develop AI-powered automation that streamlines software development, business processes ... The Sr. AI Engineer will play a critical role in turning AI from isolated experiments into ...

Senior AI Engineer

Seattle, WA · On-site

$139K - $183K/yr

They are seeking a Senior AI Engineer to design and ship AI-powered tools and automation pipelines ... Required : • 6+ years of software engineering experience, with 2+ years of hands-on experience ...

Sr. AI Engineer

Everett, WA · On-site

$115K - $158K/yr

Develop AI-powered automation that streamlines software development, business processes ... The Sr. AI Engineer will play a critical role in turning AI from isolated experiments into ...

Sr. AI Engineer

Everett, WA

$115K - $158K/yr

Develop AI-powered automation that streamlines software development, business processes ... The Sr. AI Engineer will play a critical role in turning AI from isolated experiments into ...

Senior AI Engineer

Bellevue, WA · On-site

$75K - $85K/yr

Position Summary We are seeking a highly experienced Senior AI Solutions Engineer to design ... Required Qualifications Experience * 8-12+ years of software engineering experience. * Proven ...

As a Senior AI Native Software Engineer, you direct AI agents to build products and solutions, rather than writing code directly. You leverage AI coding agents to replace manual tasks, build and ship ...

Senior AI Engineer

Seattle, WA · On-site

$139K - $183K/yr

Senior AI Engineer Introduction to the Team Expedia Group B2B empowers partners to deliver ... Proficiency in Python and modern software engineering practices * Strong experience with AI ...

As a Senior AI Native Software Engineer, you direct AI agents to build products and solutions, rather than writing code directly. You leverage AI coding agents to replace manual tasks, build and ship ...

Job Summary : xAI is on a mission to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. They are seeking an exceptional software engineer to ...

Software Engineer, Systems ML

Bellevue, WA

$195K - $231K/yr

Meta is seeking an AI Software Engineer to join our Research & Development teams. The ideal candidate will have industry experience working on AI Infras.

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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 Software Engineer

NICE

Seattle, WA • On-site

$139K - $183K/yr

Full-time

Posted 27 days ago


Job description

At NiCE, we don't limit our challenges. We challenge our limits. Always. We're ambitious. We're game changers. And we play to win. We set the highest standards and execute beyond them. And if you're like us, we can offer you the ultimate career opportunity that will light a fire within you.
The Role
At NICE, we don't limit our challenges. We challenge our limits. Always. We're ambitious. We're game changers. And we play to win. We set the highest standards and execute beyond them. And if you're like us, we can offer you the ultimate career opportunity that will light a fire within you.
We are looking for a Senior AI Software Engineer who thrives at the intersection of infrastructure, DevOps, and applied AI. In this role you will design and build intelligent automation systems that reduce toil, accelerate delivery, and improve platform resilience for teams spanning Release Management, SRE, DevOps, Systems, Networking, and Voice Engineering across the NICE CXone global multi-region cloud platform, including sovereign regions for UK Gov, AU Gov, EU, and FedRAMP. Your code will run in production and will directly impact how hundreds of engineers build, deploy, and operate mission-critical software.
What You'll Own
Infrastructure Automation
  • Design and build end-to-end automation pipelines for cluster provisioning and new region and environment builds, including AWS account bootstrapping for sovereign cloud regions such as UK, AU, EU, and FedRAMP.
  • Automate infrastructure lifecycle tasks that currently require manual navigation of web-based tooling by translating operator workflows into reliable, idempotent, API-driven pipelines.
  • Build tooling to provision and validate monitoring, alerting, telemetry pipelines, and network circuits for new regions at launch.
  • Integrate automation into existing CI/CD systems including GitLab CI and Backstage, with proper pipeline gates and exit-criteria-driven release controls.

AI-Driven Operations
  • Contribute to the AI Ops Incident Intelligence Platform by building agents and orchestration layers that surface meaningful signal from noise during incidents, identify recurring failure patterns, and recommend remediation paths.
  • Develop AI-powered change risk scoring and production readiness gates that integrate directly into the deployment pipeline.
  • Build automated rollback capabilities triggered by business-level signals such as error rate, latency, and revenue impact, rather than simple health checks alone.
  • Work within the DevOps AI Working Group to coordinate AI pipeline efforts across SRE, DevOps, Systems, and Networking teams, ensuring shared standards and preventing fragmented shadow-ops tooling.

Cross-Functional Engineering
  • Collaborate directly with SRE, Systems, Network, and Voice Engineering teams to identify high-toil workflows and translate them into automation candidates.
  • Build and maintain Model Context Protocol (MCP) server integrations that allow AI agents to safely interact with operational tooling including ServiceNow, Jira, Confluence, and AWS APIs, with appropriate guardrails in place.
  • Design all solutions with sovereign isolation requirements in mind, ensuring that UK, AU, and EU sovereign instances operate independently and within compliant data boundaries.

Qualifications
  • 5 or more years of software engineering experience with a strong emphasis on AI tooling, , or platform engineering.
  • Production-grade experience in .NET C#. Experience with Javascript and ReactJS is a plus.
  • Hands-on experience building automation that interacts directly with REST or GraphQL APIs, not simply writing scripts that call CLI tools.
  • Familiarity with CI/CD systems such as GitLab CI or GitHub Actions
  • Demonstrated ability to build AI-powered workflows using LLM APIs including Anthropic, OpenAI, or equivalent, covering prompt engineering, tool use and function calling, and agentic orchestration patterns.
  • Strong understanding of distributed systems, and cloud-native observability including metrics, logs, and traces.
  • Excellent written and verbal communication skills, with the ability to translate complex systems into clear documentation and architecture diagrams.
  • A bachelor's degree in computer science, Engineering, or a related field, or equivalent work experience.

Bonus Experience
  • Experience with agentic AI frameworks such as LangGraph, CrewAI, AutoGen or AG2, Semantic Kernel, or Smolagents.
  • Prior work in regulated or sovereign cloud environments such as FedRAMP, IL4, UK G-Cloud, or AU PROTECTED.
  • Familiarity with Backstage developer portals and integration with CI/CD pipelines.
  • Experience with OpenObserve, Grafana, or similar observability platforms at scale.
  • Prior experience building internal tooling that replaced manual, click-through web interfaces for infrastructure operations.

What Success Looks Like
30 Days
You have completed a deep dive into cluster build and region provisioning workflows and identified the top three automation gaps. You have delivered a first working prototype that automates at least one currently manual step.
60 Days
An end-to-end automation pipeline has shipped for at least one cluster or region to build workflow. You are contributing to the DevOps AI Working Group with a clear ownership lane, and an MCP server integration is scoped and in active development.
90 Days
There is a measurable reduction in manual effort for at least one team. AI-driven automation is in active use by DevOps engineers, and you are established as a trusted collaborator across Release Management, SRE, Systems, Network, and Voice teams.
About NiCE
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.