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Ai Platform Engineer Jobs in Portland, OR (NOW HIRING)

Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring an AI Engineer to build ...

Evaluate and integrate new technologies (including AI-enabled platforms) with a focus on practical implementation and risk alignment Required Qualifications: * 8+ years in cloud engineering, platform ...

... and platform changes, user feedback, or evolving practice needs. * Represent the AI Products ... engineering, retrieval-augmented generation (RAG) concepts, and evaluation of model outputs.

Production Engineering and Platform Integration * Keep AI workflows running well in production: monitor performance, watch for problems, and respond when something goes wrong. * Apply the governance ...

Production Engineering and Platform Integration * Keep AI workflows running well in production: monitor performance, watch for problems, and respond when something goes wrong. * Apply the governance ...

AI Engineer, Sr

Newberg, OR · On-site

$140 - $220/hr

Overview The AI Engineer, Sr plays a key role in building and scaling applied artificial ... Evaluate and integrate third party AI platforms, APIs, and tools where appropriate * Establish best ...

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

Overview The AI Engineer, Sr plays a key role in building and scaling applied artificial ... Evaluate and integrate third party AI platforms, APIs, and tools where appropriate * Establish best ...

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

Overview The AI Engineer, Sr plays a key role in building and scaling applied artificial ... Evaluate and integrate third party AI platforms, APIs, and tools where appropriate * Establish best ...

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Ai Platform Engineer information

See Portland, OR salary details

$35

$67

$100

How much do ai platform engineer jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for ai platform engineer in Portland, OR is $67.82, according to ZipRecruiter salary data. Most workers in this role earn between $53.56 and $78.27 per hour, depending on experience, location, and employer.

What is an AI Platform Engineer?

AI Platform Engineers are technology professionals who design, build, and maintain the infrastructure that supports the development, deployment, and scaling of artificial intelligence (AI) and machine learning (ML) models. They work closely with data scientists and software engineers to ensure that AI solutions can run efficiently and securely in production environments. Their responsibilities often include managing cloud or on-premises platforms, automating workflows, and implementing best practices for model versioning, monitoring, and resource optimization.

How does an AI Platform Engineer typically collaborate with data scientists and software engineers in a project environment?

AI Platform Engineers often serve as a bridge between data scientists and software engineers, ensuring that machine learning models are seamlessly integrated into scalable, production-ready systems. They work closely with data scientists to understand model requirements and deployment needs, and with software engineers to embed these models within applications and services. This collaboration involves frequent communication, joint troubleshooting, and participation in code reviews to maintain a robust and efficient AI infrastructure.

What are the key skills and qualifications needed to thrive as an AI Platform Engineer, and why are they important?

To thrive as an AI Platform Engineer, you need strong programming skills (especially in Python and Java), a background in computer science or related fields, and experience with machine learning frameworks. Familiarity with cloud platforms (like AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and CI/CD systems is typically required, along with certifications such as Google Cloud Professional Machine Learning Engineer. Excellent problem-solving, collaboration, and communication skills help you integrate AI solutions across teams and projects. These competencies ensure the efficient development, deployment, and maintenance of scalable AI systems in dynamic production environments.

What is the difference between Ai Platform Engineer vs Data Engineer?

AspectAi Platform EngineerData Engineer
CredentialsBachelor's in CS, AI, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentDeveloping AI infrastructure, deploying ML models, working with cloud servicesBuilding data pipelines, managing data storage, ensuring data quality
Industry UsageTech companies, AI startups, cloud providersFinance, healthcare, e-commerce, any data-driven industry

While both roles involve working with data and cloud platforms, Ai Platform Engineers focus on building and maintaining AI infrastructure and deploying machine learning models. Data Engineers primarily develop data pipelines and manage data storage. The roles often collaborate but serve different core functions within AI and data ecosystems.

How to become an AI platform engineer?

To become an AI platform engineer, you should have a strong background in computer science, software engineering, or related fields, with expertise in machine learning frameworks, cloud computing, and programming languages like Python or Java. Gaining experience with AI tools, data management, and infrastructure deployment is essential, often supported by certifications in cloud platforms such as AWS or Azure. Building a portfolio of projects and staying updated on AI and DevOps practices can also enhance your qualifications.

What does an AI platform engineer do?

An AI platform engineer designs, develops, and maintains the infrastructure and tools needed to deploy and manage artificial intelligence models at scale. They work with cloud services, programming languages, and machine learning frameworks to ensure efficient model training, deployment, and monitoring in production environments.

What is the salary of AI platform engineer?

The salary of an AI platform engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and machine learning may earn higher compensation.

What are popular job titles related to Ai Platform Engineer jobs in Portland, OR?

For Ai Platform Engineer jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Ai Platform Engineer jobs in Portland, OR look for?

The top searched job categories for Ai Platform Engineer jobs in Portland, OR are:

What cities near Portland, OR are hiring for Ai Platform Engineer jobs?

Cities near Portland, OR with the most Ai Platform Engineer job openings:

Infographic showing various Ai Platform Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 56% Full Time, 40% Part Time, and 4% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $141,029 per year, or $67.8 per hour.

Director of Engineering - Data & AI Platform

Portland, OR • On-site, Remote

StanCorp Financial Group, Inc.
Insurance Services • 1 - 5K employees

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Job description

The next part of your journey is right around the corner - with The Standard.
A genuine desire to make a difference in the lives of others is the foundation for everything we do. With a customer-first mindset and an intentional focus on building strong teams, we've been able to uphold our legacy of financial stability while investing in new, innovative technologies that support the needs of our customers. Our high-performance culture focused on operational excellence thrives thanks to remarkable people united by compassion and a customer-first commitment. Are you ready to make a difference?
Job Summary
The Director, Data & AI Platform Engineering leads the engineering strategy, development, delivery, and operational excellence of the enterprise Data & AI Platform. This role combines enterprise technology leadership with the development of high-performing engineering teams spanning data engineering, software engineering, AI/ML platform engineering, DevOps, DevSecOps, DataOps, MLOps, and LLMOps.
Working closely with Product, Architecture, Governance, Security, Risk, Enterprise Delivery, Analytics & BI, and AI Product teams, the Director delivers a governed, reusable, self-service platform foundation. This leader is responsible for engineering execution across Foundational Data & AI Products, Integration & Runtime, and the Shared Substrate, with capabilities designed to be defined once, governed once, and consumed by many.
Key Responsibilities:
Engineering Leadership and Team Development
Lead and develop multidisciplinary engineering teams while building a culture of ownership, collaboration, engineering excellence, and continuous improvement.
  • Coach engineering managers, technical leads, architects, and senior engineers; build succession plans and strengthen leadership capacity.
  • Lead workforce planning, hiring, onboarding, performance management, capability development, and talent retention.
  • Establish clear accountability and decision-making across distributed teams and engineering disciplines.

Platform Engineering Strategy and Delivery
Set and execute the engineering strategy for the shared Data & AI Platform in partnership with platform product leadership and architecture.
  • Deliver platform-managed capabilities across Foundational Data & AI Products, Integration & Runtime, and Shared Substrate.
  • Guide engineering investment in canonical data products, the governed context foundation, model and tool gateways, registries, agent runtime, APIs, lakehouse, catalog, compute, storage, and golden-path automation.
  • Balance near-term delivery with platform sustainability, reuse, scalability, and the thin-platform boundary.

Operational Excellence and Governance
Ensure platform services are reliable, secure, observable, supportable, and operated to published service objectives.
  • Establish engineering standards for architecture, CI/CD, infrastructure-as-code, automated testing, observability, incident response, resilience, documentation, and operational readiness.
  • Partner with Governance, Security, Risk, and Architecture so policy is technically enforced while architecture pattern-setting remains distinct from policy ownership.
  • Use delivery, reliability, quality, contract-conformance, adoption, and consumer-feedback measures to drive continuous improvement.

Enterprise Partnership and Execution
Build strong partnerships across business, data, AI, product, architecture, governance, and enterprise technology organizations.
  • Communicate engineering priorities, delivery progress, operational health, risks, dependencies, and outcomes to senior stakeholders.
  • Enable self-service golden paths so consumers can build compliant solutions without embedding or waiting on the platform team.
  • Manage capacity, vendors, dependencies, and organizational scaling in alignment with the platform roadmap.

Skills and Background You'll Need
Education: A Bachelor's degree is required.
Experience: Minimum 8 - 10 years' experience within IT and 3+ years' experience managing IT employees
  • Demonstrated experience leading enterprise-scale data, technology, platform, product, or analytics organizations and developing high-performing teams.
  • Strong strategic planning, prioritization, communication, stakeholder partnership, and organizational change leadership skills.
  • Experience operating in a regulated environment with governance, security, privacy, audit, risk, and access-control expectations.

Key Behaviors of a Successful Candidate
  • Driving Success: Demonstrates energy and persistence when tackling complex challenges and views difficult problems as opportunities to create value.
  • Winning Together: Builds trust and strong working relationships across teams, values diverse perspectives, and fosters collaboration to achieve shared objectives.
  • Strategic Visioning: Considers future scenarios, opportunities, and risks to develop thoughtful recommendations that align with the company's long-term strategic objectives.

#LI-Remote
Why Join The Standard?
We have built an enduring legacy of stability, financial strength and exceptional customer service through the contributions of the service-oriented people who choose to work at The Standard. To ensure we can attract and retain the best talent, when you join The Standard you can expect:
  • A rich benefits package including medical, dental, vision and a 401(k) plan with matching company contributions
  • An annual incentive bonus plan
  • Generous paid time off including 11 holidays, 2 wellness days, and 8 volunteer hours annually - PTO increases with tenure
  • A supportive, responsive management approach and opportunities for career growth and advancement
  • Paid parental leave and adoption/surrogacy assistance
  • An employee giving program that double matches your donations to eligible nonprofits and schools

In addition to the competitive salary range below, our employee-focused benefits support work-life balance. Learn more about working at The Standard.
  • Eligibility to participate in an incentive program is subject to the rules governing the program and plan. Any award depends on a variety of factors including individual and organizational performance.

The actual compensation for this role will be based on a combination of education and experience, knowledge and skills, position budget, internal equity, and market data.
Salary Range:
$147,750.00 - $280,750.00
Positions will be posted for at least 5 days from original posting date.
Standard Insurance Company, The Standard Life Insurance Company of New York, Standard Retirement Services, Inc., StanCorp Mortgage Investors, LLC, StanCorp Investment Advisers, Inc., and American Heritage Life Insurance Company and American Heritage Service Company, marketed as The Standard, are Affirmative Action/Equal Opportunity employers. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, national origin, gender identity, sexual orientation, age, disability or veteran status or any other condition protected by federal, state or local law. Except where precluded by state or federal law, The Standard will consider for employment qualified applicants with arrest and conviction records pursuant to the San Francisco Fair Chance Ordinance. The Standard offers a drug- and alcohol-free work environment where possession, manufacture, transfer, offer, use of or being impaired by an illegal substance while on The Standard's property, or in other cases which the company believes might affect operations, safety or reputation of the company is prohibited. The Standard requires a criminal background investigation and employment, education and licensing verification as a condition of employment. After any conditional offer of employment is made, the background check will include an individualized assessment based on the applicant's specific record and the duties and requirements of the specific job. Applicants will be provided an opportunity to explain and correct background information. All employees of The Standard must be bondable.