2

Remote Ai Implementation Jobs in Portland, OR (NOW HIRING)

Lead Engineer, AI Attack Simulation

Portland, OR ยท On-site +1

$108K - $143K/yr

Lead Engineer, AI Attack Simulation Remote [within the US] ABOUT THE ROLE: HiddenLayer is seeking a ... Remain hands-on with critical architecture, prototyping, implementation, and complex technical ...

Senior Software Engineer (Remote)

Portland, OR ยท On-site +1

$129K - $171K/yr

Background leading software projects or features through implementation, testing, and delivery, and ... Ability to use AI/ML or generative AI to solve security problems, such as automated threat ...

Senior Software Engineer (Remote)

Portland, OR ยท Remote

$129K - $171K/yr

Background leading software projects or features through implementation, testing, and delivery, and ... Ability to use AI/ML or generative AI to solve security problems, such as automated threat ...

Work you'll do Epic Denials Manager on the AI & Engineering team, you will be responsible for the ... This is a remote role with minimal travel requirements. A successful candidate would possess these ...

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR ยท On-site +1

$121K - $167K/yr

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136 ... Implement LLM-based systems with: * Tool-calling frameworks * Retrieval-Augmented Generation (RAG)

Remote (Support in PST hours) Experience level: 10 + years Must have skills: SDET skills, Azure ... Experience in implementing AIML practices in testing e.g., test generation, anomaly detection, log ...

Showing results 21-40

Remote Ai Implementation information

See Portland, OR salary details

$28

$54

$85

How much do remote ai implementation jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for remote ai implementation in Portland, OR is $54.52, according to ZipRecruiter salary data. Most workers in this role earn between $40.77 and $64.76 per hour, depending on experience, location, and employer.

What is a remote AI implementation specialist?

A Remote AI Implementation Specialist is a professional who helps organizations deploy and integrate artificial intelligence (AI) solutions without being physically present on-site. They work remotely to assess business needs, customize AI models, oversee technical setups, and ensure seamless integration with existing systems. These specialists often collaborate with cross-functional teams, provide training, and troubleshoot issues to ensure AI tools deliver maximum value. Their expertise enables companies to adopt advanced AI technologies efficiently, regardless of geographic location.

What are the key skills and qualifications needed to thrive as a remote AI implementation specialist?

To thrive as a Remote AI Implementation Specialist, you need a strong background in computer science, data analysis, and AI/machine learning concepts, often supported by a relevant degree or certification. Proficiency with programming languages (such as Python or R), cloud platforms (like AWS or Azure), and AI frameworks (such as TensorFlow or PyTorch) is essential. Exceptional problem-solving, communication, and project management skills help you collaborate effectively and translate business needs into technical solutions. These skills ensure successful deployment of AI solutions that align with organizational goals while facilitating smooth remote teamwork and client interactions.

What are some common challenges faced when implementing AI solutions remotely, and how can they be addressed?

One common challenge in remote AI implementation is maintaining clear communication and alignment between distributed teams, especially when dealing with complex data and evolving project requirements. To address this, regular virtual meetings, detailed documentation, and collaborative project management tools are essential. Additionally, ensuring secure and efficient access to data and resources can be tricky, so robust cybersecurity protocols and cloud-based platforms are often used. Open feedback channels and cross-functional collaboration also help in quickly resolving technical issues and adapting solutions to client needs.

What is the difference between Remote Ai Implementation vs Data Scientist?

AspectRemote Ai ImplementationData Scientist
Required CredentialsAI certifications, programming skills, knowledge of ML frameworksStatistics, programming, data analysis, often a degree in related field
Work EnvironmentCollaborative teams, project-based, often client-facingResearch-focused, data analysis, model development
Industry UsageTech, finance, healthcare, retailTech, finance, healthcare, academia
Search & Comparison IntentImplementing AI solutions remotelyAnalyzing data, building models

Remote Ai Implementation involves deploying AI solutions across various industries, focusing on technical deployment and integration. Data Scientists analyze data and develop models, often in research or analytical roles. While both roles require programming and AI knowledge, Remote Ai Implementation emphasizes deployment skills, whereas Data Scientists focus on data analysis and model creation.

What are popular job titles related to Remote Ai Implementation jobs in Portland, OR?

For Remote Ai Implementation jobs in Portland, OR, the most frequently searched job titles are:

What cities near Portland, OR are hiring for Remote Ai Implementation jobs?

Cities near Portland, OR with the most Remote Ai Implementation job openings:

Infographic showing various Remote Ai Implementation job openings in Portland, OR as of August 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $113,397 per year, or $54.5 per hour.

Lead Engineer, AI Attack Simulation

HiddenLayer

Portland, OR โ€ข On-site, Remote

$108K - $143K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 26 days ago


Job description

Lead Engineer, AI Attack Simulation

Remote [within the US]

ABOUT THE ROLE:

HiddenLayer is seeking a hands-on Lead Engineer, AI Attack Simulation to own the technical direction and execution of our attack simulation product. You will lead the architecture and development of systems that translate adversarial AI research and real-world attack techniques into safe, repeatable, and measurable security testing capabilities.

You will partner closely with Product Management and Security Research to shape product strategy, understand customer problems, evaluate opportunities, and define the outcomes the team is working toward. This role is designed for a product-minded engineering leader who goes beyond receiving requirements and solving tickets, helping determine what we should build, why it matters, and how we will measure its success.

You will also establish an AI-first product development workflow, applying AI across discovery, research, solution design, prototyping, implementation, validation, and continuous improvement. The ideal candidate combines deep software engineering experience, cybersecurity expertise, agentic-systems judgment, and the leadership ability to mentor engineers and raise the technical and product ownership of the entire team.

WHO WE ARE:

HiddenLayer protects the world's most valuable technologies from adversarial AI attacks. We were founded by AI professionals and security specialists with first-hand experience of how insidious adversarial AI attacks can be to detect and defend against. Determined to prove that these attacks were preventable, the team developed a unique, patent-pending, productized solution to support organizations in accelerating their adoption of AI securely. 

Our dedication to innovation has been recognized by prestigious awards such as RSA's Innovation Sandbox Winner, CB Insights AI 100, CyberTech 100, and SC's Most Promising Early-Stage Start-up.

WHAT YOU'LL DO:

  • Own the technical direction, architecture, and execution of HiddenLayer's AI Attack Simulation product.
  • Partner with Product and Security Research to define product strategy, understand customer outcomes, shape the roadmap, and translate adversarial AI techniques into safe, scalable product capabilities.
  • Design and build agentic workflows, tool integrations, execution systems, guardrails, and evaluation frameworks.
  • Establish an AI-first product development workflow that uses AI across discovery, customer and market research, solution design, prototyping, implementation, validation, release, and continuous improvement.
  • Ensure engineers understand the customer problem and intended outcome, contribute to product decisions, and take ownership beyond ticket execution.
  • Remain hands-on with critical architecture, prototyping, implementation, and complex technical problem-solving.
  • Mentor engineers, lead technical reviews, support hiring, and raise standards for reliability, security, observability, and product quality.

WHO YOU ARE:

  • 10+ years of professional software engineering experience, including technical leadership of complex production systems.
  • Strong backend, distributed-systems, and cloud-native engineering experience.
  • Demonstrated experience building an AI-first product development workflow that involves engineers throughout product discovery, strategy, solution definition, implementation, validation, and outcome measurement.
  • A track record of leading teams beyond ticket-based execution toward direct ownership of customer problems, product tradeoffs, and measurable outcomes.
  • Experience building production AI or agentic systems involving tool use, orchestration, structured outputs, state management, guardrails, and evaluation.
  • Cybersecurity product experience or closely related experience in offensive security, attack simulation, AI security, red teaming, penetration testing, or control validation.
  • Strong proficiency in Go and experience with at least one additional production language such as Python, Rust, Java, or TypeScript.
  • Strong product judgment and experience partnering directly with Product Management.
  • Demonstrated ability to mentor engineers, influence technical direction, and lead through ambiguity.

WHO YOU ARE (PREFERRED):

  • Experience with AI red teaming, adversarial machine learning, AI security evaluation, or autonomous security testing.
  • Direct experience with breach and attack simulation, adversary emulation, attack-path validation, or continuous security validation products.
  • Experience using AI to support product research, prototype evaluation, customer-feedback synthesis, implementation, testing, and release decisions.
  • Familiarity with MITRE ATT&CK and/or ATLAS and threat-informed defense.
  • Experience with agent orchestration technologies such as OpenAI Agents SDK, LangGraph, AutoGen, or equivalent custom systems.
  • Experience developing evaluation datasets, graders, traces, and regression frameworks for AI systems.
  • Experience building secure sandboxes or constrained environments for executing potentially risky actions.
  • Experience delivering enterprise, self-hosted, air-gapped, or regulated software.
  • Previous responsibility for hiring and developing senior engineers.

WHY HIDDENLAYER?

We're moving at (what feels like) the speed of light. HiddenLayer is a venture-backed company and recently closed a $50M funding round led by M12, Microsoft's Venture Fund, and Moore Strategic Ventures. 

Attracting and retaining the very best people is our #1 priority. That's why we offer our team best-in-class benefits, including:

  • Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional about getting the team together a couple of times a year. We offer a generous stipend for your home office setup, annual upgrades to ensure you have a comfortable workspace and a monthly stipend for internet/phone expenses. 
  • Comprehensive Health & Wellness Benefits: Better than your average startup healthcare benefits. With five options to choose from, of which are fully subsidized by HiddenLayer, we offer a variety of options to fit each person's needs. We also offer vision, dental, and 401k offerings.
  • Flexible Time Off: Enjoy unlimited and flexible time off for all salaried employees, in addition to 15 paid company holidays.
  • Commitment to Learning and Development: We support personal growth and education through a dedicated L&D fund that can be used for training, conferences, certifications and industry events.
  • Diversity, Equity, and Inclusion: We are committed to building a diverse team with individuals from various backgrounds, experiences, abilities, and perspectives, and we are proud to be an equal opportunity employer.

To learn more about HiddenLayer visit HiddenLayer and follow us on LinkedIn or Twitter.

HiddenLayer  is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.