AI Engineer, Principal

Job Listing ID:

4469471

Job Title:

AI Engineer, Principal Application Deadline:

Open Until Filled

Job Location:

Newberg

Date Posted:

04/09/2026

Hours Worked Per Week:

40

Shift:

Day Shift Duration of Job:

Full Time, more than 6 months You may contact this employer directly. (Obtain the contact information to print or add to your jobs.)

Job Summary:

The Principal AI Engineer serves as the organization's most senior applied artificial intelligence (AI) technical expert, responsible for defining, architecting, and scaling enterprise grade AI capabilities across the business. This role sets technical direction for applied AI, agentic systems, and advanced analytics, ensuring solutions are secure, scalable, and aligned with long term business strategy. This role combines deep hands-on expertise with architectural ownership, technical governance , and mentorship. The Principal AI Engineer leads the design of complex AI systems that span multiple business domains including supply chain, finance, operations, sales, and customer service. Success is measured by sustained business impact, platform reuse, cost efficiency, and the ability to enable other teams to safely and effectively build on AI foundations. The role emphasizes production excellence, responsible AI practices, and pragmatic innovation rather than academic research.

JOB DUTIES AND RESPONSIBILITIES

Define and own the enterprise AI technical architecture, standards, and reference patterns across models, data, platforms, and integrations Lead the design and delivery of complex, cross functional AI systems including multi agent architectures, LLM based platforms, and decision intelligence solutions Serve as the technical authority for applied AI, providing guidance on model selection, system design, scalability, performance, and cost optimization Design and oversee reusable AI platforms, services, and frameworks that enable multiple teams to build and deploy AI capabilities consistently and safely Architect and govern agentic AI systems including orchestration strategies, agent collaboration patterns, MCP enabled APIs, and secure tool and data access Drive advanced Large Language Model implementations including retrieval augmented generation, fine tuning strategies, evaluation frameworks, and production guardrails Establish enterprise best practices for AI lifecycle management including deployment, monitoring, drift detection, observability, and retirement Partner with data, security, legal, and compliance teams to define responsible AI standards, auditability, and risk management practices Evaluate and influence vendor strategy including third party AI platforms, tooling, and in house build versus buy decisions Lead technical design reviews and provide architectural oversight across AI initiatives Mentor senior engineers, data scientists, and product teams on applied AI design patterns and best practices Translate complex AI concepts into clear recommendations for senior leaders and business stakeholders Measure, continuously improve and communicate the business impact, reliability, and cost efficiency of AI solutions Remain current with evolving AI trends by actively monitoring leading research and vendor roadmaps, prototyping emerging models and agent frameworks, and translating validated advancements into strategic recommendations and pilots that align with business priorities and deliver measurable value.

QUALIFICATIONS

Knowledge, Skills, and Abilities Technical Skills:

Expert level proficiency in Python for building production AI systems, services

Job Classification:

Computer Occupations, All Other Access our statewide or regional occupation report for more information about wages, employment outlooks, skills, training programs, related occupations, and more. Compensation

Salary:

$188,410.00 per Year Depending on Experience

Benefits Offered:

Medical, Dental, Vision, Vacation, Sick Leave, Life Insurance, Short-Term Disability, Long-Term Disability, Profit Sharing, Retirement, Education Reimbursement Job Requirements

Experience Required:

 At least 15 years

Education Required:

Bachelors

Minimum Age:

18

Major:

Computer Science

Gender:

N/A

Employer Will Perform:

Background Check , Drug Test