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Senior Artificial Intelligence Engineer Jobs (NOW HIRING)

Artificial Intelligence Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Job Title: Artificial Intelligence Engineer Job Location: Bellevue - Washington Job Type: Contract * Lead the development and deployment of machine learning models and analytical solutions for ...

NJ · On-site

$65K - $68K/yr

Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of ...

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Senior Artificial Intelligence Engineer information

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$59.5K

$126.6K

$183.5K

How much do senior artificial intelligence engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for senior artificial intelligence engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What does a senior artificial intelligence engineer do?

A Senior Artificial Intelligence Engineer designs, develops, and implements advanced AI and machine learning models to solve complex business problems. They lead technical projects, mentor junior engineers, and collaborate with cross-functional teams to integrate AI solutions into products or services. Their responsibilities include data analysis, model selection, algorithm optimization, and ensuring the scalability and reliability of AI systems. With deep expertise in programming, mathematics, and data science, they play a crucial role in driving innovation and maintaining the competitiveness of their organization.

What are the key skills and qualifications needed to thrive as a senior artificial intelligence engineer?

To thrive as a Senior Artificial Intelligence Engineer, you need advanced proficiency in machine learning, deep learning, programming languages like Python, and a strong foundation in mathematics and statistics, often backed by a degree in computer science or a related field. Experience with AI frameworks such as TensorFlow or PyTorch, cloud platforms like AWS or Azure, and certifications in AI or data science are typically expected. Effective communication, leadership, and problem-solving abilities are crucial soft skills for collaborating with cross-functional teams and mentoring junior engineers. These competencies ensure the successful design, implementation, and deployment of AI solutions that drive innovation and business value.

How do senior artificial intelligence engineers typically collaborate with cross-functional teams during a project?

Senior Artificial Intelligence Engineers often work closely with data scientists, software engineers, and product managers to design, develop, and deploy AI solutions. They may be responsible for translating business requirements into technical specifications, ensuring that AI models are scalable and reliable, and guiding junior engineers. Effective communication and an understanding of both the technical and business aspects are crucial, as these engineers often bridge the gap between complex AI concepts and practical applications for stakeholders.
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Infographic showing various Senior Artificial Intelligence Engineer job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.

Senior Artificial Intelligence (AI) Solutions Architect

Boeing

Seattle, WA • On-site

Full-time

Medical, Life, Retirement

Posted 15 days ago


Boeing rating

8.5

Company rating: 8.5 out of 10

Based on 616 frontline employees who took The Breakroom Quiz

33rd of 545 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 integrate on-prem and cloud-based data, analytics, and AI capabilities into scalable enterprise patterns
  • Translate business requirements into technical designs for AI-enabled supply chain solutions
  • Architect the full solution lifecycle from raw data and governed data products through 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 for supply chain, logistics, inventory, planning, sourcing, or parts domains
  • 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)
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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.
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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