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Ai Rmf Jobs in Texas (NOW HIRING)

Analogdevices

AI Governance Analyst

Austin, TX

S. AI Executive Orders, NIST AI RMF) into actionable internal requirements. * Conduct compliance assessments for AI systems across the organization. 2. Risk Assessment & Mitigation * Evaluate AI ...

Analog Devices

AI Governance Analyst

Austin, TX · On-site

S. AI Executive Orders, NIST AI RMF) into actionable internal requirements. * Conduct compliance assessments for AI systems across the organization. 2. Risk Assessment & Mitigation * Evaluate AI ...

L3HHCM20

Artificial Intelligence Specialist

Greenville, TX · On-site +1

$109K - $203K/yr

Microsoft Entra ID app registrations and Graph API in GCC High Secure software development in regulated/mission-critical environments; familiarity with the NIST AI Risk Management Framework (AI RMF ...

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Ai Rmf information

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills, extensive experience, and sometimes leadership responsibilities. These roles are usually found in large tech companies or specialized AI firms and may include bonuses, stock options, or other incentives that contribute to the total compensation.

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.

Which 3 jobs will survive AI?

For an AI RMF (Risk Management Framework) specialist, jobs that involve complex decision-making, strategic planning, and human oversight are more likely to survive AI automation. These include roles such as cybersecurity analysts, compliance managers, and risk auditors, which require critical thinking, understanding of organizational context, and interpersonal skills that AI cannot fully replicate.

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 job makes $10,000 a month without a degree?

In the field of AI RMF (Risk Management Framework), high-paying roles such as AI project managers or senior data analysts can earn $10,000 or more monthly without a formal degree, provided they have strong technical skills, certifications, and experience. These roles often require expertise in AI tools, cybersecurity, or risk assessment, and may involve self-education or industry certifications instead of traditional degrees.

What is an AI RMF?

An AI RMF (Artificial Intelligence Risk Management Framework) is a structured approach used by AI professionals to identify, assess, and mitigate risks associated with AI systems. It involves implementing best practices, standards, and tools to ensure AI safety, reliability, and compliance throughout the development and deployment process.
What are popular job titles related to Ai Rmf jobs in Texas? For Ai Rmf jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Ai Rmf jobs in Texas look for? The top searched job categories for Ai Rmf jobs in Texas are:
What cities in Texas are hiring for Ai Rmf jobs? Cities in Texas with the most Ai Rmf job openings:
Ai Rmf jobs near you

AI Engineering Lead Agentic System

Select Minds LLC

Dallas, TX • On-site

$170K - $180K/yr

Full-time

Posted 17 days ago

Job description

Benefits:
  • Long Term
  • Competetive Salary
  • Oppurtunity for Advancement

AI Engineering Lead - Agentic Systems
Work Type: Full-Time, Onsite
Location: Dallas, Texas
Interview Mode: In-Person
Work Auth : Must be authorized to work in the U.S.
Domain: Enterprise AI / Agentic AI / AWS Bedrock
Compensation: Competitive, commensurate with experience
Role Overview
As Tech Lead, Agentic AI Solutions, you will lead the design and delivery of enterprise-grade agentic AI architectures that enable autonomous and semi-autonomous agents to perform complex, cross-functional business tasks.
You will define the frameworks, orchestration patterns, and governance standards that ensure our agentic AI systems operate with safety, reliability, and scalability across enterprise environments. This position blends deep technical leadership with innovation in AI orchestration, distributed systems, and multi-agent coordination.
This is an ideal opportunity for an experienced technologist who thrives in a dynamic environment and is passionate about shaping the next generation of intelligent agent platforms within the enterprise.
Key Responsibilities
  • Architect & Lead Development: :Design and implement scalable agentic AI frameworks, including multi-agent orchestration, task planning, and execution pipelines.
  • Integration & Protocol Design: Architect secure protocols and integrations-such as Model Context Protocol (MCP) servers, API gateways, and tool registries-to enable seamless agent-to-agent and agent-to-human collaboration.
  • Technical Roadmap Ownership: Define and execute the roadmap for agentic AI solutions, continuously evaluating and adopting emerging frameworks like LangGraph, Bedrock Agents, CrewAI, and Strands.
  • Reusable Registries: Establish governed agent, prompt, and tool registries for standardized, reusable components.
  • Reliability & Performance: Engineer high-reliability orchestration with low latency, intelligent fallback, and self-healing mechanisms.
  • Observability & Governance: Implement traceability, explainability, and observability tools to ensure transparent, auditable agentic workflows.
  • Security & Compliance: Define security standards for API access, RBAC, data sanitization, and policy-gated tool execution; ensure compliance with NIST AI RMF, ISO/IEC 42001, and privacy-by-design principles.
  • Monitoring & Evaluation: Develop real-time monitoring pipelines that track agent decision quality, execution success/failure, and dependency health.
  • Cross-Functional Collaboration: Partner with Product Managers, Data Engineers, Legal/Compliance, and Business stakeholders to translate strategic objectives into robust agentic capabilities.
  • Innovation: Advance methods in planning, memory, context engineering, and knowledge integration to enhance autonomy, reliability, and reasoning capabilities.
  • Technical Leadership: Mentor engineers, promote best practices in AI infrastructure, and guide teams in developing modular, scalable, and compliant agentic systems.

Required Qualifications
Education:
Bachelor's degree in Computer Science, Engineering, or related technical field (or equivalent practical experience).
Experience:
  • 8+ years of software engineering experience in AI/ML, distributed systems, or platform engineering.
  • 3+ years in senior technical leadership or architecture roles guiding multi-disciplinary teams.

Technical Expertise:
  • Strong proficiency in Python and experience with multiple programming paradigms.
  • Deep experience with the AWS ecosystem (Bedrock, SageMaker, Lambda, S3, Redshift, VPC).
  • Proven ability to design agent-safe protocols (MCP, API sandboxes, secure tool registries).
  • Expertise in distributed systems, asynchronous processing, and low-latency orchestration.
  • Hands-on experience with AI observability and traceability systems.
  • Familiarity with metadata management, data lineage, and knowledge graph integration for agent context enhancement.
  • Leadership & Governance:
  • Skilled in agile methodologies and iterative delivery of complex AI infrastructure.
  • Demonstrated success implementing AI governance and compliance frameworks.
  • Exceptional ability to communicate complex technical concepts to both engineers and executives.
  • Strong track record of mentoring, team building, and fostering inclusive, high-performing teams.
  • Preferred Qualifications
  • Experience with LangChain, LangGraph, Bedrock Agents, CrewAI, or LLMOps frameworks.
  • Knowledge of GraphRAG, memory management, and context-aware planning in multi-agent systems.
  • Exposure to regulated environments such as healthcare, finance, or aviation.
  • Familiarity with AI risk management, auditability frameworks, and policy-driven AI governance.

Compensation: $170,000.00 - $180,000.00 per year
About Us
We work to deliver profitability in your business - with effective communication, consulting, and interactive solutions. Following an Agile Work Approach, we make sure you get the ideal solutions at minimum expenses.
Work Approach
Our Philosophy
Our Philosophy starts-and-ends at the Client-first approach. Be it understanding your business requirements to choosing the right technologies, we work as a collective team that takes all the possible steps to grow continuously towards our common goal.
Work Policy
We promote a collaborative work environment. We involve everyone working in the organization in community decisions and encourage them to think from a broader perspective. Our work process promotes flexibility and we maintain a high level of discipline at different levels of execution.
The Future
SelectMinds have years of experience in the domain helps us understand the need-of-the-hour better. This understanding drives us to a better future with every minute ticking. We believe we will be taking off major businesses from their flagship positions, with the products we are eyeing today.

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