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

AI Engineer

OR · Remote

We are seeking an AI Engineer who is, first and foremost, a strong software engineer. In this role ... Architect, deploy, and manage applications and AI workloads on Google Cloud Platform (Vertex AI ...

AI Engineer

OR · Remote

We are seeking an AI Engineer who is, first and foremost, a strong software engineer. In this role ... Architect, deploy, and manage applications and AI workloads on Google Cloud Platform (Vertex AI ...

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 ...

This Engineer also understands the software development lifecycle (from coding to support) and ... The Main Responsibilities Architecture & AI * Design the new architecture evolution for Lumen ...

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

Sr. Data Analytics Engineer

OR · On-site +1

$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 ...

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 ...

AI Agent ML Engineer

OR

$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 ...

AI Agent ML Engineer

Myrtle Point, OR · On-site +1

$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 ...

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 ...

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 · On-site +1

$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 ...

New

Partner with engineering teams to provide guidance on architecture, integration, testing, and production readiness while encouraging innovation and AI adoption. What We Look For in a Candidate ...

Understanding of AI tools and their application in DevOps, software development, and operational workflows. * Relevant certifications such as AWS Cloud Practitioner, AWS Certified Solutions Architect ...

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Showing results 1-20

Ai Engineer Architect information

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 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.

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 77% Full Time, 17% Part Time, and 6% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution.

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago


Job description

We are seeking an AI Engineer who is, first and foremost, a strong software engineer. In this role, you will design, build, and ship AI-powered features end to end, from integrating large language models and machine learning services into our products, to developing the front-end applications that put those capabilities in users' hands. You will work across the stack, with a strong emphasis on front-end development and cloud-native engineering on Google Cloud Platform (GCP). 

Responsibilities 

  • Design, develop, and deploy AI-powered applications and features, integrating LLMs and ML models into production software 
  • Build and maintain responsive, high-quality front-end applications using modern JavaScript frameworks (React, Angular, or Vue) 
  • Develop APIs and backend services that connect front-end applications with AI/ML models and data pipelines 
  • Build, evaluate, and optimize LLM-based solutions including prompt engineering, RAG (Retrieval-Augmented Generation) pipelines, embeddings, and vector search 
  • Architect, deploy, and manage applications and AI workloads on Google Cloud Platform (Vertex AI, Cloud Run, Cloud Functions, BigQuery, GKE) 
  • Fine-tune and integrate models from providers such as OpenAI, Anthropic, and Google, as well as open-source models (Hugging Face, LLaMA, etc.) 
  • Implement MLOps/LLMOps best practices: CI/CD pipelines, model monitoring, evaluation, and versioning 
  • Write clean, well-tested, maintainable code and participate in code reviews 
  • Collaborate with product managers, designers, and stakeholders to translate business requirements into technical solutions 
  • Stay current with the rapidly evolving AI/ML landscape and recommend new tools and approaches 

Required Qualifications 

  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience) 
  • 3+ years of professional software engineering experience 
  • Strong proficiency in Python and JavaScript/TypeScript 
  • Hands-on experience building front-end applications with React, Angular, or similar frameworks (HTML, CSS, modern UI patterns) 
  • Experience developing and deploying applications on Google Cloud Platform 
  • Practical experience integrating LLM APIs (OpenAI, Anthropic Claude, Google Gemini) into applications 
  • Experience with RESTful APIs, microservices, and modern software architecture 
  • Familiarity with vector databases (Pinecone, Weaviate, pgvector, or similar) and RAG architectures 
  • Solid understanding of Git, CI/CD, containerization (Docker), and agile development practices 
  • Strong problem-solving skills and ability to work independently and within a team 

Preferred Qualifications 

  • Experience with Vertex AI, LangChain, LlamaIndex, or similar AI application frameworks 
  • Experience with agentic AI workflows, function/tool calling, and multi-agent systems 
  • Knowledge of ML fundamentals: model training, fine-tuning, and evaluation (PyTorch or TensorFlow) 
  • Experience with Kubernetes (GKE) and infrastructure-as-code (Terraform) 
  • Experience with SQL/NoSQL databases and data pipelines (BigQuery, Dataflow) 
  • GCP certifications (e.g., Professional Machine Learning Engineer, Professional Cloud Developer) 
  • Experience shipping user-facing AI products from concept to production 

Company Description

Sara Software Systems, LLC founded in July 2004 is a small, woman, minority owned and economically disadvantaged 8(a) business as approved by the Small Business Administration (SBA). Owned and managed by experienced IT professionals, we bring a realistic and knowledgeable approach with 15 years of technical excellence to solve complex federal and commercial IT challenges, transform how organizations operate, and protect our Customer's critical infrastructure.
Sara Software Systems, LLC is a process-driven and quality-focused company and we are appraised at Maturity Level (ML) 3 by the CMMI Institute for both DEV + SVC. Our CMMI DEV ML3 appraisal was specifically focused on Agile and DevSecOps. We are International Standards of Organization (ISO) 9001:2015, ISO 20000-1:2011 and ISO 27001:2013-certified.

Sara Software Systems, LLC is a leading technology Services provider with focus in Application Development and Modernization, Agile Transformations, Program Management , Information Technology , Software development, Cybersecurity, IT infrastructure, Business Process Reengineering and Service Desk services for Federal Agencies and commercial organizations. We serve the business needs of our customers by providing strategy, program management, architecture, and sustainment of information technology solutions both in traditional waterfall and agile methodologies that transform ideas to value.