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Ai Rmf Jobs in Arkansas (NOW HIRING)

Ai Rmf information

What are some common challenges faced by professionals working in AI Risk Management Framework (RMF) roles?

Professionals in AI RMF roles often encounter challenges such as keeping up with rapidly evolving regulatory requirements and ensuring that AI systems remain compliant throughout their lifecycle. Another common challenge is collaborating effectively with cross-functional teams—including data scientists, legal, and IT security—to identify and mitigate risks associated with AI models. Additionally, balancing the need for innovative AI solutions with responsible risk management can be complex, requiring strong communication and critical thinking skills.

What is the difference between Ai Rmf vs Ai Rmp?

AspectAi RmfAi Rmp
CertificationsRegistered Medical Fitness (RMF) certificationRegistered Medical Practitioner (RMP) license
Work EnvironmentMedical clinics, health screening centersHospitals, clinics, private practices
Industry UsageHealth screening, medical assessmentsMedical diagnosis, treatment
Common Search IntentRoles in medical fitness assessmentsMedical diagnosis and patient care

Ai Rmf and Ai Rmp are related healthcare roles but differ mainly in certification and scope. Ai Rmf focuses on medical fitness assessments, often in health screening centers, while Ai Rmp involves broader medical diagnosis and patient treatment. Understanding these differences helps in choosing the right career path or job role in the healthcare industry.

What are the key skills and qualifications needed to thrive as an AI Risk Management Framework (AI RMF) Specialist, and why are they important?

To thrive as an AI RMF Specialist, you need expertise in risk management, AI/ML systems, compliance, and typically a background in computer science, data science, or cybersecurity. Familiarity with NIST AI RMF, model governance tools, and regulatory compliance platforms is essential, and certifications like CISSP or CISM are often advantageous. Strong analytical thinking, communication, and stakeholder management skills help navigate complex technical and ethical considerations. These abilities are crucial to ensure organizations deploy AI responsibly, mitigate risks, and meet legal and ethical standards.

What are AI RMF professionals?

AI RMF professionals are experts who specialize in implementing and managing the Artificial Intelligence Risk Management Framework (AI RMF). This framework, developed by NIST, provides structured guidance for organizations to identify, assess, and mitigate risks associated with artificial intelligence systems. AI RMF professionals help ensure that AI technologies are trustworthy, ethical, and comply with relevant standards and regulations. Their work involves risk assessment, policy development, and collaboration with technical and compliance teams to integrate responsible AI practices.
What are popular job titles related to Ai Rmf jobs in Arkansas? For Ai Rmf jobs in Arkansas, the most frequently searched job titles are:
What job categories do people searching Ai Rmf jobs in Arkansas look for? The top searched job categories for Ai Rmf jobs in Arkansas are:
What cities in Arkansas are hiring for Ai Rmf jobs? Cities in Arkansas with the most Ai Rmf job openings:
Infographic showing various Ai Rmf job openings in Arkansas as of June 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution.

Senior Architect, AI Solutions Architecture - CorpTech

Travelers Canada

Hartford, AR • On-site

$139.40 - $230/hr

Other

Medical, Retirement, PTO

Posted 14 days ago


Job description

Who Are We?

Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years.

Compensation Overview

Annual base salary range: $139,400.00 – $230,000.00. The actual salary will be determined by scope, complexity, location, and candidate qualifications. Employees are also eligible for performance‑based cash incentive awards.

What Is the Opportunity?

As a member of the AI and Emerging Technology Architecture, you will join a strategic team that is passionate about transforming our business and technology capabilities. In this role you will partner with Technology and Business stakeholders to design and deliver solutions that create meaningful business impact.

Responsibilities
  • Apply your hands‑on experience in AI/ML, Generative AI, and Agentic AI systems—including autonomous agent design, orchestration frameworks (LangChain, Strands, Crew AI), and integration patterns such as Model Context Protocol (MCP)—to architect and implement scalable, production‑grade AI solutions aligned to line‑of‑business needs.
  • Partner with Lead Architects and domain teams to advance the enterprise AI solutions architecture practice, contributing reusable patterns, reference architectures, and design standards that promote consistency and interoperability across initiatives.
  • Translate business requirements into practical AI platform designs—spanning LLM integration, RAG pipelines, memory systems, and tool/function‑calling patterns—with a focus on delivering well‑governed, reliable, and cost‑effective solutions.
  • Support governance and risk processes that promote safe and compliant AI deployments, applying knowledge of relevant frameworks such as the EU AI Act, NAIC, and NIST AI RMF, and demonstrating a commitment to responsible AI principles.
  • Stay current with the rapidly evolving AI platform landscape—including foundation model capabilities, agentic frameworks, and cloud AI services—and contribute insights that help shape the team's technical direction and roadmap.
  • Collaborate effectively across engineering, product, and business teams, communicating technical concepts clearly to diverse audiences and contributing to a culture of knowledge sharing and continuous learning.
  • Scope: Responsible for architecture within one or more segments or domains for a single business unit.
  • Technical Execution: Define and lead technology proof‑of‑concepts, conduct hands‑on prototyping, and partner with leadership to ensure alignment with technology direction.
  • Strategic Accountability: Define target state architecture and roadmaps; identify emerging technology trends to minimize technical debt; support technology modernization initiatives; communicate architectural direction; cultivate strong relationships and secure buy‑in; perform additional duties as assigned.
Qualifications
  • Bachelor’s degree in technology‑related field or equivalent with at least 8 years of architecture experience.
  • Strong architecture and recent hands‑on engineering experience with modern technologies; successfully architected large‑scale technology initiatives.
  • Advanced leadership skills with ability to inspire, motivate, and influence team members.
  • Extensive experience working in an agile operational model and supporting transformational change; able to adjust plans, priorities, and strategies in response to changing circumstances.
  • Experience in the insurance industry preferred; strong knowledge of insurance industry value‑creation and business capability models.
  • Proven ability to work collaboratively with teammates to achieve mutually responsible results.
  • Strong verbal, written, and listening communication skills.
  • Hands‑on experience in AI/ML development and deployment, with knowledge of core ML algorithms and neural network architectures.
  • Working knowledge of MLOps and AI Ops practices and CI/CD for AI/ML workflows.
  • Applied experience with Generative AI foundations—including LLMs, transformer architectures, and prompt engineering techniques.
  • Experience with agentic coding tools such as Claude Enterprise/CLI/Code, OpenAI Codex, and GitHub Copilot.
  • Experience working with agentic AI patterns—tool use, function calling, RAG pipelines, memory systems, vector databases, and multi‑agentic orchestration.
  • Familiarity with agent orchestration frameworks (LangChain, Strands, Crew AI) and integration protocols such as MCP.
  • Experience with cloud AI services (AWS Bedrock including AgentCore; optional Azure, GCP, Gemini) with awareness of multi‑cloud and SaaS AI capabilities.
  • Knowledge of responsible AI principles, AI ethics, and compliance considerations for production AI deployments; awareness of AI governance frameworks and risk management practices.
Benefits
  • Health insurance covering employee and eligible family members from day one.
  • Retirement: 401(k) match up to 5% of eligible pay; Pension plan fully funded by Travelers.
  • Paid time off: minimum 20 days PTO annually plus nine paid company holidays.
  • Wellness program with tools, discounts, and mental health resources.
  • Volunteer encouragement: matching gift and volunteer rewards.
Employment Practices

Travelers is an equal opportunity employer. Candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. Travelers reserves the right to fill this position at a level above or below the level included in this posting.

Equal Opportunity Statement

Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences.

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