1

Ai Engineer Architect Jobs in Remote, OR (NOW HIRING)

AI Engineer

OR · On-site +1

Collaborate with architects, engineers, testers, and business stakeholders to identify and implement innovative AI solutions. * Ensure all AI solutions comply with VA cybersecurity, privacy ...

Collaborate with architects, engineers, testers, and business stakeholders to identify and implement innovative AI solutions.Ensure all AI solutions comply with VA cybersecurity, privacy ...

Collaborate with architects, engineers, testers, and business stakeholders to identify and implement innovative AI solutions. * Ensure all AI solutions comply with VA cybersecurity, privacy ...

Cloud Architect

OR · Remote

$66.50 - $84.75/hr

AI-first practitioner - actively integrates AI tools (LLMs, coding assistants, AI-powered analysis and design tools) as a routine part of architecture and engineering work, not as an occasional ...

New

Apply AI-augmented engineering practices: LLM-assisted design, agentic workflow architecture, integrating AI capabilities into system designs safely and observably * Architect for operational ...

New

FinOps Leadership Integrate cost optimization into architecture and engineering practices. Establish cost-aware patterns for compute, storage, networking, AI/ML, Kubernetes, databases, and SaaS ...

Senior Lead System Architect

OR · Remote

$132K - $176K/yr

You will establish architectural direction, influence enterprise AI strategy, and collaborate across engineering, product, and business teams to deliver innovative solutions that help our customers ...

New

... AI/Agentforce capabilities. This role partners across Product, Field Operations, Architecture, Security, Engineering, and vendor teams to translate business outcomes into scalable, secure ...

New

Infrastructure Engineer

OR · Remote

$100K - $200K/yr

Position Overview As an Infrastructure Engineer, you will play a pivotal role in building and ... Hands-on experience participating in the architecture or backend service development of Agentic AI ...

Sr. Data Analytics Engineer

OR · Remote

$125K - $165K/yr

You will lead complex programs, mentor junior engineers, and influence architectural direction across product decision teams. Partnering with Analytics, Automation & AI, and Governance teams, you ...

AI Agent ML Engineer

OR · Remote

$165K - $190K/yr

Architect and develop multi-agent systems for process automation and intelligent decision-making ... in AI/ML engineering, agent development, process engineering, or related roles. * Proven track ...

Partner with platform, architecture, and security teams to ensure AI solutions are maintainable ... Coach developers and technical leaders on practical AI usage, safe experimentation, measurable ...

Head of AI

OR · Remote

Experience leading multi-disciplinary teams (AI Architects, AI Engineers, data scientists, ML engineers, architects, product managers, delivery leaders). * Knowledge of responsible AI, security, and ...

Head of AI

OR · On-site +1

Experience leading multi-disciplinary teams (AI Architects, AI Engineers, data scientists, ML engineers, architects, product managers, delivery leaders). * Knowledge of responsible AI, security, and ...

Senior Lead Architect

OR · Remote

$132K - $176K/yr

We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises ... Bachelor's degree in electrical, optical, or Telecommunication engineering, or 5-7+ years of ...

next page

Showing results 1-20

Ai Engineer Architect information

What is an AI engineer architect?

AI Engineer Architects are professionals who design, develop, and oversee the implementation of artificial intelligence solutions within organizations. They combine expertise in AI technologies, such as machine learning and deep learning, with architectural skills to create scalable, robust, and efficient AI systems. Their responsibilities often include selecting appropriate AI frameworks, ensuring data pipelines are optimized, and collaborating with data scientists, engineers, and business stakeholders to align AI initiatives with organizational goals.

What are the key skills and qualifications needed to thrive as an AI engineer architect?

To thrive as an AI Engineer Architect, you need deep expertise in computer science, machine learning, algorithm development, and system architecture, often supported by advanced degrees and experience in AI project delivery. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms (like AWS, Azure, or GCP), and relevant certifications (e.g., Google Professional Machine Learning Engineer) is typically required. Strong communication, problem-solving, and leadership skills help you bridge technical and business requirements and guide teams effectively. These skills are crucial for designing scalable, innovative AI solutions that align with organizational goals and drive successful implementation.

How does an AI engineer architect typically collaborate with cross-functional teams during project development?

AI Engineer Architects regularly work alongside data scientists, software engineers, product managers, and business stakeholders to design and implement AI-driven solutions. They are responsible for translating complex business requirements into scalable AI architectures, guiding project direction, and ensuring technical feasibility. Collaboration often involves leading technical discussions, conducting code and architecture reviews, and providing mentorship to junior AI engineers. Effective communication and teamwork are essential, as AI Engineer Architects must align AI initiatives with broader organizational goals.

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

AspectAi Engineer ArchitectData Scientist
Required CredentialsBachelor's/Master's in CS, AI, or related fields; certifications in AI/MLBachelor's/Master's in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDesigning AI architectures, developing models, integrating AI solutionsAnalyzing data, building predictive models, deriving insights
Employer & Industry UsageTech companies, AI-focused firms, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles require expertise in AI and machine learning, Ai Engineer Architects focus on designing and implementing AI systems and architectures, whereas Data Scientists analyze data to generate insights and build models. The roles often overlap but differ mainly in scope and responsibilities.

What are popular job titles related to Ai Engineer Architect jobs in Remote, OR?

For Ai Engineer Architect jobs in Remote, OR, the most frequently searched job titles are:

What job categories do people searching Ai Engineer Architect jobs in Remote, OR look for?

The top searched job categories for Ai Engineer Architect jobs in Remote, OR are:

What cities near Remote, OR are hiring for Ai Engineer Architect jobs?

Cities near Remote, OR with the most Ai Engineer Architect job openings:

Infographic showing various Ai Engineer Architect job openings in Remote, OR as of August 2026, with employment types broken down into 100% Full Time. Highlights an 62% In-person, and 38% Remote job distribution.

Full-time

Re-posted yesterday


Job description

AI Engineer
Remote, USA; potential for minimal ad hoc travel
EMKS is seeking an AI Engineer to support the Department of Veterans Affairs (VA) Office of Information Technology (OIT). This position will lead the design, development, and implementation of Artificial Intelligence (AI), Generative AI, Machine Learning (ML), and intelligent automation solutions that enhance enterprise software engineering, testing, DevSecOps, and IT operations.
The successful candidate will collaborate with cross-functional teams to identify high-value AI opportunities, develop proof-of-concepts, and deliver secure, scalable, production-ready AI solutions aligned with VA AI governance and Trustworthy AI principles.
Duties/Responsibilities:
  • Design and develop AI-powered applications using Large Language Models (LLMs), Generative AI, and Machine Learning.
  • Build AI Copilots, AI Agents, and Retrieval-Augmented Generation (RAG) solutions to improve software engineering, testing, documentation, and operational workflows.
  • Develop intelligent automation solutions for test case generation, defect analysis, knowledge management, predictive analytics, and process optimization.
  • Integrate AI capabilities into enterprise applications, APIs, Azure cloud services, and DevSecOps pipelines.
  • Evaluate emerging AI technologies and rapidly develop Proofs of Concept (PoCs).
  • Collaborate with architects, engineers, testers, and business stakeholders to identify and implement innovative AI solutions.
  • Ensure all AI solutions comply with VA cybersecurity, privacy, accessibility, and Trustworthy AI requirements.

Required Qualifications:
  • 5+ years in overall software engineering experience.
  • 2+ years of hands-on experience developing AI, Machine Learning, or Generative AI solutions.
  • Strong programming experience with Python.
  • Experience with Azure OpenAI, OpenAI APIs, or similar LLM platforms.
  • Experience with LangChain, LlamaIndex, Semantic Kernel, or comparable AI frameworks.
  • Experience building Retrieval-Augmented Generation (RAG) applications and AI Agents.
  • Experience developing REST APIs using FastAPI or similar frameworks.
  • Familiarity with Git, Azure DevOps, CI/CD, Docker, and cloud-native development.
  • Strong analytical, communication, and problem-solving skills.

Preferred Qualifications:
  • Experience supporting the U.S. Department of Veterans Affairs (VA) or other Federal agencies.
  • Experience with healthcare IT, EHRM, VistA, Oracle Health Millennium, FHIR, or HL7.
  • Experience with Azure AI Studio, Azure Machine Learning, vector databases, and prompt engineering.
  • Knowledge of NIST AI Risk Management Framework, Responsible AI, and Federal AI governance.

Education/Technical Skills:
  • Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related field.
  • Python • Azure OpenAI • OpenAI APIs • LangChain • LangGraph • LlamaIndex • Semantic Kernel • RAG • AI Agents • Machine Learning • FastAPI • Azure AI Studio • Azure DevOps • Docker • Kubernetes • SQL • Git • REST APIs • Vector Databases

Clearance:
  • S. Citizenship is requiredas is successfully passing a thorough Government background screening (Public Trust) requiring the completion of detailed forms and fingerprinting.
  • Ability to obtain and maintain necessary security clearances as required for access to classified information.

About EM Key Solutions:
Founded in 2015, EM Key Solutions, Inc. (EMKS) is a Service-Disabled Veteran-Owned Small Business (SDVOSB) offering a broad range of services to support Federal Government enterprises in meeting their mission requirements and business demands. Relationships are key to EMKS! We adopt a customer-centric approach and proven management processes for every project we undertake. Through sound leadership and management principles, EMKS focuses on offering its clients the solutions they need to be successful at the most competitive rates throughout the project management lifecycle.
If you are curious to learn more about EM Key Solutions, please visit our website at
EMKS is an Equal Opportunity Employer committed to hiring and retaining qualified and talented individuals. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.
Reasonable Accommodation Requests
EM Key Solutions is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or accommodation while seeking employment, please e-mail or call Human Resources at (727)-292-1521. We will make a determination on your request for reasonable accommodation on a case-by-case basis.
E-Verify
As a Federal Contractor, we are required to use to validate employees' ability to work legally in the United States.
EEO is the Law
The law requires EM Key Solutions to post a notice describing the Federal laws prohibiting job discrimination.
Pay Transparency Non-Discrimination
EM Key Solutions will not discharge or, in any other manner, discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay.
For information regarding your legal rights and protections, please click on the following link: