1

Ai Solutions Architect Jobs in Bothell, WA (NOW HIRING)

Position Overview The Technical Solution Architect serves as the senior technical leadership for the AI Solutions Practice and is responsible for defining architectural standards, developing ...

Position Overview The Technical Solution Architect serves as the senior technical leader for the AI Solutions Practice and is responsible for defining architectural standards, developing reference ...

Position Overview The Technical Solution Architect serves as the senior technical leader for the AI Solutions Practice and is responsible for defining architectural standards, developing reference ...

AI Solution Architect

Bellevue, WA · On-site

$71 - $93.75/hr

... AI solutions from ideation to implementation lead performance finetuning actively participate in RFPs and presales and architect robust solutions leveraging Azure AI services Azure OpenAI Service ...

Technical Solutions Architect, AI

Seattle, WA · Remote

$75.50 - $91/hr

Position Overview The Technical Solution Architect serves as the senior technical leader for the AI Solutions Practice and is responsible for defining architectural standards, developing reference ...

Solutions Architect

Seattle, WA · Remote

$71.75 - $94.50/hr

As an AI-first, full-service innovation shop and AWS Advanced Tier Partner, we deliver end-to-end ... The Solutions Architect is responsible for technical discovery, solution design, migration strategy ...

next page

Showing results 1-20

Ai Solutions Architect information

See Bothell, WA salary details

$18

$79

$108

How much do ai solutions architect jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for ai solutions architect in Bothell, WA is $79.77, according to ZipRecruiter salary data. Most workers in this role earn between $68.85 and $90.72 per hour, depending on experience, location, and employer.

What is an AI Solutions Architect?

AI Solutions Architects are professionals who design, develop, and implement artificial intelligence solutions to solve business problems. They work closely with stakeholders to understand requirements, select appropriate AI technologies, and ensure that systems are scalable, secure, and aligned with organizational goals. Their responsibilities often include overseeing the integration of AI models into existing infrastructures, collaborating with data scientists and engineers, and guiding the end-to-end lifecycle of AI projects. They also stay updated on the latest AI advancements to recommend innovative solutions. Overall, AI Solutions Architects bridge the gap between technical teams and business objectives to drive successful AI adoption.

What skills and qualifications are needed to be an AI Solutions Architect?

To thrive as an AI Solutions Architect, you need expertise in machine learning, data science, and software engineering, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud), AI/ML frameworks (like TensorFlow or PyTorch), and relevant certifications are highly valued. Strong problem-solving, stakeholder communication, and project management skills set top performers apart. These competencies ensure effective design, deployment, and integration of AI solutions that align with business objectives.

How does an AI Solutions Architect collaborate with cross-functional teams during a project lifecycle?

AI Solutions Architects play a central role in bridging the gap between technical teams, such as data scientists and engineers, and non-technical stakeholders like business analysts and project managers. They are responsible for gathering requirements, designing scalable AI solutions, and ensuring alignment with business objectives throughout the project. Regular collaboration involves facilitating meetings, providing technical guidance, and translating complex AI concepts into actionable plans for all team members. This collaborative approach ensures that projects are delivered efficiently and meet both technical and business needs.

What is the difference between Ai Solutions Architect vs Data Scientist?

AspectAi Solutions ArchitectData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related fields; certifications in cloud platforms or AI toolsBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or machine learning
Work EnvironmentDesigning AI solutions, collaborating with engineering teams, implementing AI models in productionAnalyzing data, building models, interpreting results to inform business decisions
Employer & Industry UsageTech companies, AI-focused firms, large enterprises integrating AI solutionsResearch institutions, tech companies, finance, healthcare, and marketing sectors

While both roles involve AI and data, an Ai Solutions Architect focuses on designing and deploying AI systems within organizations, whereas a Data Scientist primarily analyzes data and develops models to extract insights. The architect role emphasizes solution architecture and implementation, often requiring knowledge of cloud platforms and engineering, while the Data Scientist concentrates on statistical analysis and model development.

How much does an AI Solutions Architect make?

An AI Solutions Architect typically earns between $100,000 and $160,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and cloud platforms can earn higher salaries, often exceeding $180,000.

What does an AI Solutions Architect do?

An AI Solutions Architect designs and implements artificial intelligence solutions to meet business needs, often working with machine learning models, data pipelines, and cloud platforms. They analyze requirements, develop technical strategies, and collaborate with teams to deploy scalable AI systems, typically requiring knowledge of programming, data science, and AI tools. Their role ensures AI technologies are effectively integrated into organizational processes.

What are popular job titles related to Ai Solutions Architect jobs in Bothell, WA?

For Ai Solutions Architect jobs in Bothell, WA, the most frequently searched job titles are:

What job categories do people searching Ai Solutions Architect jobs in Bothell, WA look for?

The top searched job categories for Ai Solutions Architect jobs in Bothell, WA are:

What cities near Bothell, WA are hiring for Ai Solutions Architect jobs?

Cities near Bothell, WA with the most Ai Solutions Architect job openings:

Infographic showing various Ai Solutions Architect job openings in Bothell, WA as of August 2026, with employment types broken down into 80% Full Time, 14% Part Time, and 6% Contract. Highlights an 73% Physical, 5% Hybrid, and 22% Remote job distribution, with an average salary of $163,170 per year, or $78.4 per hour.

Senior Artificial Intelligence (AI) Solutions Architect

Boeing

Seattle, WA • Hybrid

Full-time

Medical, Life, Retirement

Posted 5 days ago


Boeing rating

8.5

Company rating: 8.5 out of 10

Based on 613 frontline employees who took The Breakroom Quiz

32nd of 544 rated manufacturers


Job description

Senior Artificial Intelligence (AI) Solutions Architect

Company:

The Boeing Company

The Boeing Company is looking for a highly experienced and detail-oriented Senior Artificial Intelligence (AI) Solutions Architect to join the team in Seattle, WA or Dallas, TX.

The Senior Artificial Intelligence (AI) Solution Architect, Boeing Global Services (BGS) Supply Chain will lead the end-to-end technical architecture for AI-enabled solutions across the BGS Supply Chain organization. This role is responsible for designing scalable, secure, and production-ready Artificial Intelligence (AI) solutions that span the full data and technology ecosystem, including on-premises and cloud environments.

This individual will work closely with business leaders, product managers, data engineers, data scientists, platform teams, and enterprise architecture to translate raw data and data products into AI capabilities such as machine learning, generative AI, Agentic AI, deep learning, decision intelligence, and advanced automation. The ideal candidate will bring deep technical expertise in enterprise architecture, data and AI platforms, and supply chain use cases, with the ability to design end-to-end solutions from data ingestion through modeling, ontology, orchestration, and front-end visualization.

Position Responsibilities:

  • Lead the architecture and design of end-to-end AI solutions supporting BGS Supply Chain business needs

  • Define solution architectures that integrateon-prem and cloud-based data, analytics, and AI capabilitiesinto scalable enterprise patterns

  • Translate business requirements into technical designs for AI-enabled supply chain solutions

  • Architect the full solution lifecycle fromraw data and governed data productsthrough data modeling, ontology, AI model development, orchestration, and visualization

  • Design solutions using ML, Generative AI, Agentic AI, deep learning, optimization, and other advanced AI techniques as appropriate to the use case

  • Partner with supply chain business stakeholders to identify high-value use cases and shape feasible technical solutions

  • Collaborate with data engineers, data scientists, software engineers, platform architects, and product teams to ensure end-to-end solution integrity

  • Define solution patterns for data ingestion, transformation, semantic modeling, ontology design, AI model integration, workflow orchestration, and user experience delivery

  • Ensure solutions are scalable, maintainable, secure, and aligned to Boeing architecture, cyber, governance, and compliance standards

  • Evaluate technical tradeoffs across cloud, hybrid, and on-prem environments and recommend the best-fit architecture for business needs

  • Provide architectural guidance for AI product teams throughout design, build, testing, deployment, monitoring, and enhancement phases

  • Support the creation of reusable frameworks, reference architectures, and patterns for supply chain AI solutions

  • Work with front-end and product teams to ensure insights and AI outputs are delivered through intuitive interfaces, dashboards, copilots, or decision-support tools

  • Help define ontology and semantic layer approaches that improve usability, searchability, interoperability, and AI consumption of supply chain data

  • Participate in technical governance, design reviews, and architecture decision forums

  • Support production readiness, performance tuning, observability, and operational support for deployed AI solutions

  • Stay current on emerging AI technologies and recommend innovations that can improve supply chain performance and business value

Basic Qualifications (Requires Skill/Experience):

  • 10+ years of experience with Artificial Intelligence (AI) and Machine Learning (ML) technologies, including the ability to integrate AI-driven insights into data architecture and analytics processes

  • 10+ years s of experience with Information Technology architecture including cloud and data architecture in a large-scale, hybrid cloud and on-prem environment

  • 10+ years of experience communicating with technical experts and explaining difficult technical concepts to non-technical business users

  • 10+ years of experience working across organizations and interfacing with key stakeholders, including senior leaders

  • 5+ years of experience designing, developing & optimizing AI/ML solutions, data science workflows, and analytics methodologies

  • 5+ years of experience with AI/ML and generative AI lifecycle concepts, including model development, evaluation, deployment, monitoring, change management, documentation, and data governance

  • 5+ years of experience designing, developing & optimizing AI/ML solutions, data science workflows, and analytics methodologies

Preferred Qualifications (Desired Skills/Experience)

  • Bachelor's degree or higher in computer science, engineering, information systems, data science, or related field

  • Experience architecting AI solutions forsupply chain, logistics, inventory, planning, sourcing, or partsdomains

  • Experience with ML platforms, Machine Leaning Operations (MLOps) Large Language Model (LLM) orchestration, vector databases, retrieval-augmented generation, and model lifecycle management

  • Experience designing semantic layers, ontologies, knowledge graphs, or enterprise data models

  • Experience with Agentic AI, workflow automation, or AI-based decision support solutions

  • Experience with data visualization tools, orchestration platforms, and front-end delivery patterns

  • Experience with enterprise data governance, cataloging, lineage, and security frameworks

  • Experience with event-driven architecture, API-based integration, and scalable cloud-native design

  • Strong understanding of data architecture, APIs, integration patterns, and production engineering concepts

  • Experience supporting industrial, aerospace, or similarly complex operational environments

Conflict of Interest:

Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.

Drug Free Workplace:

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria are met as outlined in our policies.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary pay range: $184,450 - $249,550

Language Requirements:

Not Applicable

Education:

Not Applicable

Relocation:

This position offers relocation based on candidate eligibility.

Export Control Requirement:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Safety Sensitive:

This is not a Safety Sensitive Position.

Security Clearance:

This position does not require a Security Clearance.

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

This position is not contingent upon program award

Shift:

Shift 1 (United States of America)

Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

EEO is the law

Boeing EEO Policy

Request an Accommodation

Applicant Privacy


Boeing Participates in E - Verify

  • E-Verify (English)
  • E-Verify (Spanish)

Right to Work Statement

  • Right to Work(English)
  • Right to Work(Spanish)

What Boeing employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Boeing logo

About Boeing

Sourced by ZipRecruiter

At Boeing, we are all innovators on a mission to connect, protect, explore and inspire. From the sea bed to outer space, you'll learn and grow, contributing to work that shapes the world. Find your future with us.

Industry

Aviation and aerospace product and parts manufacturing

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US