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Agentic Ai Jobs in Remote, OR (NOW HIRING)

Senior Lead System Architect

OR ยท Remote

$132K - $176K/yr

Define and own end-to-end architecture for conversational, generative, and agentic AI solutions, including data, application, integration, and cloud platform designs. * Establish architecture ...

Every customer is different, and you'll be responsible for turning Charm's Agentic AI Workforce into a solution that feels purpose-built for each institution. This role is ideal for someone who loves ...

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Senior AI Engineer

OR ยท Remote

$219K - $250K/yr

You will help expand, harden, and scale Deduction's agentic AI systems while building the production infrastructure required to make AI reliable, observable, secure, and scalable. You will operate at ...

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Head of AI

OR ยท Remote

Build and maintain a 12-24 month capability roadmap across GenAI, Agentic AI, applied ML, AI engineering, MLOps, and AI governance. * Identify strategic bets (industries, partnerships, platforms) and ...

Head of AI

OR ยท On-site +1

Build and maintain a 12-24 month capability roadmap across GenAI, Agentic AI, applied ML, AI engineering, MLOps, and AI governance. * Identify strategic bets (industries, partnerships, platforms) and ...

Stay current on the latest LLM capabilities, agentic AI frameworks, and enterprise deployment patterns - and bring that knowledge into every customer engagement. Required Qualifications * 7+ years in ...

Stay current on the latest LLM capabilities, agentic AI frameworks, and enterprise deployment patterns - and bring that knowledge into every customer engagement. Required Qualifications * 7+ years in ...

Applied AI Scientist

OR ยท On-site

$128K - $215K/yr

Experience building or fine-tuning foundation models, multimodal models, or agentic AI systems . * Familiarity with Google Cloud Platform (GCP) , including large-scale AI/ML infrastructure.

Infrastructure Engineer

OR ยท Remote

$100K - $200K/yr

Hands-on experience participating in the architecture or backend service development of Agentic AI Systems. * Experience developing foundational support services for AI-driven products or open-source ...

Comfortable embedding AI / agentic tooling into a human service organization * Executive presence - credible with customer C-suite and Sapiens senior leadership * Bachelor's required; MBA or relevant ...

The ideal candidate should possess a strong understanding of generative AI principles, agentic AI workflows, prompt design, code generation, knowledge retrieval, software delivery practices ...

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Agentic Ai information

See Remote, OR salary details

$35

$65

$116

How much do agentic ai jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for agentic ai in Remote, OR is $65.71, according to ZipRecruiter salary data. Most workers in this role earn between $45.38 and $99.90 per hour, depending on experience, location, and employer.

What are agentic AI systems?

Agentic AI systems are artificial intelligence models designed to act autonomously and pursue goals in dynamic environments. Unlike traditional AI, which follows specific programmed instructions, agentic AI can make decisions, take actions, and adapt based on feedback or changes in its environment. These systems are often used in complex tasks such as robotics, autonomous vehicles, virtual assistants, and advanced problem-solving applications. The development of agentic AI raises important questions about safety, control, and ethical use due to their ability to make independent decisions.

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

To thrive as an AI Engineer, you need a strong grasp of computer science fundamentals, machine learning techniques, and proficiency in programming languages such as Python or Java, often supported by a relevant degree in computer science or engineering. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms, and, in some cases, certifications such as TensorFlow Developer Certificate are typically expected. Critical thinking, problem-solving, and effective collaboration are crucial soft skills for tackling complex AI challenges and working in multidisciplinary teams. These skills and qualities are essential to develop, deploy, and maintain innovative AI solutions that drive business value.

How do agentic AI professionals typically collaborate with cross-functional teams to implement intelligent agents in business processes?

Agentic AI professionals often work closely with data scientists, software engineers, product managers, and business stakeholders to integrate intelligent agents into existing workflows. This collaboration involves understanding business requirements, designing agent behaviors, and ensuring seamless data flow between systems. Regular meetings and iterative feedback cycles are common to align technical solutions with strategic objectives. Effective communication and adaptability are key, as these roles often bridge technical and non-technical domains to achieve successful AI-driven automation.

What is the difference between Agentic Ai vs Data Analyst?

AspectAgentic AiData Analyst
Required CredentialsTypically requires knowledge of AI, machine learning, and programming languagesBachelor's degree in statistics, mathematics, or related field; often requires proficiency in Excel, SQL, and data visualization tools
Work EnvironmentPrimarily tech companies, AI startups, or R&D departmentsBusiness, finance, healthcare, and other industries analyzing data for insights
Employer & Industry UsageUsed in AI development, automation, and machine learning projectsUsed across various industries for data interpretation and reporting
Search & Comparison IntentUnderstanding AI-focused roles versus data analysis roles

Agentic Ai roles focus on developing and implementing AI systems, requiring programming and machine learning skills. Data Analysts interpret data to inform business decisions, often using statistical tools. While both work with data, Agentic Ai professionals are more involved in AI creation, whereas Data Analysts focus on data interpretation.

Is agentic AI a good career?

Agentic AI refers to roles involving the development and deployment of autonomous AI systems, which are in demand in industries like technology, robotics, and automation. Careers in this field typically require skills in machine learning, programming, and data analysis, and can offer growth opportunities as AI technology advances.

What type of jobs are in agentic AI?

Jobs in agentic AI involve developing, training, and deploying autonomous AI systems that can perform tasks independently, such as AI research scientist, machine learning engineer, AI software developer, and data scientist. These roles typically require skills in programming, machine learning frameworks, and understanding of AI ethics and safety protocols.

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

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

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

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

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

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

Infographic showing various Agentic Ai job openings in Remote, OR as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% Remote job distribution, with an average salary of $136,675 per year, or $65.7 per hour.

Microsoft AI Solution Architect - Healthcare

Logging-in

OR โ€ข Remote

$60 - $70/hr

Contractor

Posted 3 days ago

New


Job description

Position Title: Microsoft AI Solution Architect – Healthcare
Location: REMOTE
Duration: Long Term

Position Overview:
We are seeking a seasoned Microsoft AI Solution Architect to lead our AI-first healthcare transformation efforts. In this pivotal role, you will bridge the gap between business needs and technical solutions. You will serve as an AI expert by designing, architecting, building and demonstrating Agentic AI solutions, utilizing M365 Copilot, Copilot Studio, and Azure AI Foundry and GitHub Copilot to modernize healthcare workflows.

Key Responsibilities:
Presales & Deal Support:
  • Lead end-to-end technical presales for Microsoft AI and Copilot opportunities from discovery through solutioning, demos, PoCs, and deal support.
  • Partner with sales leaders to shape deal strategy, define scope, estimate effort, and support RFP/RFI responses and executive presentations.
  • Act as primary AI Solution Architect and SME throughout the presales lifecycle and help with deal transition to project delivery execution.

Solution Architecture & Demo assets:
  • Design secure, scalable Agentic AI architectures using Azure AI, Azure OpenAI, Copilot Studio, M365 Copilot extensibility, Power Platform, and Azure AI Foundry.
  • Build hands-on demo solutions, PoCs, and solution accelerators showcasing real-world healthcare use cases (care management, prior auth, call center workflows).
  • Develop role-based copilots and AI agents that integrate with Microsoft 365, Dynamics, Power Platform, and healthcare systems via APIs.

Healthcare-Focused AI Innovation:
  • Translate payer and provider workflows (claims, utilization management, care coordination, member engagement) into AI-driven solutions.
  • Ensure solutions align with HIPAA, security, compliance, and enterprise governance expectations in healthcare environments.

Capability Building & Thought Leadership:
  • Create reusable assets: demo environments, reference architectures, pitch decks, accelerators, and whitepapers.
  • Mentor junior architects and contribute to building Genzeon’s AI community.
  • Stay current with Microsoft’s roadmap updates in Copilot Studio, Azure AI Foundry, Agent 365, Power Platform, and proactively advise clients for faster adoption.

Required Qualifications:
  • Bachelor’s degree in computer science, Engineering, or related field; Master’s preferred.
  • 10+ years of experience in Microsoft solution architecture and presales roles within consulting or systems integration organizations
  • Hands-on experience building demos and accelerators using: Azure AI, GitHub Copilot & Azure OpenAI, Copilot Studio, Copilot extensibility and Power Platform
  • Proven experience architecting Agentic AI solutions, conversational AI, and intelligent workflows leveraging AI/ML integration using Azure AI Services, OpenAI APIs, or Copilot Studio.
  • Strong knowledge of Azure cloud architecture, including API & integration design, Microservices & event-driven architecture, CI/CD using Azure DevOps, Containerization and cloud-native patterns
  • Exceptional solutioning, demo delivery, and executive presentation skills.
  • Excellent communication skills and proven ability to lead cross-functional teams and influence without direct line reporting in a matrixed organization

Preferred Experience:
  • Direct experience delivering AI solutions for healthcare or life sciences clients.
  • Experience with agent orchestration, AI workflows, Logic Apps, Azure Functions, and Azure AI/ML.
  • Microsoft certifications: Microsoft Copilot Specialist, Power Platform Solution Architect, Azure Solutions Architect Expert or Dynamics 365 Solution Architect
  • Healthcare and enterprise certifications (nice to have): CHPS, CAHIMS, TOGAF or enterprise architecture frameworks

Strong understanding of healthcare operations: Claims, prior authorization, care management, Provider workflows, call centers, member services.