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Ai Rmf Jobs in Springfield, MA (NOW HIRING)

Knak Digital

AI Engineer

Becket, MA · Remote

$130K - $150K/yr

Awareness of NIST AI RMF, FedRAMP, or related responsible AI frameworks Requirements: * Must be a US citizen or legal resident, able to work domestically * Must be able to attain a low-level security ...

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Ai Rmf information

See Springfield, MA salary details

$34.4K

$95.7K

$163.4K

How much do ai rmf jobs pay per year?

As of Jun 28, 2026, the average yearly pay for ai rmf in Springfield, MA is $95,711.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,200.00 and $115,100.00 per year, depending on experience, location, and employer.

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.
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Ai Rmf jobs near you

AI Engineer

Knak Digital

Becket, MA • Remote

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 13 days ago

Job description

AI Engineer Location: Remote (US only)

Compensation: $130,000 to $150,000

Must be authorized to work in the US and obtain a Public Trust Clearance.

A small, technical digital services firm working with federal and commercial clients is hiring an AI Engineer to build and ship production-grade applications powered by large language models.

This is a hands-on engineering role. You will design agentic systems, build MCP servers and clients, maintain RAG pipelines, and write the Python backends that expose AI capabilities to real users, including senior government stakeholders. You will also help shape how the organization adopts generative AI responsibly across an active client portfolio.

This is not a research role. No foundation model training. You will be designing and shipping systems that people depend on, and you will have a direct voice in how that gets done.

What you will build:

  • Multi-step agents that plan, call tools, retrieve context, and take action with human-in-the-loop checkpoints
  • MCP servers and clients that securely connect models to client data, internal tools, and APIs
  • RAG pipelines covering chunking, embeddings, vector stores, retrieval, reranking, and grounding
  • LLM-powered features including copilots, document intelligence, search, summarization, and workflow automation
  • Evals and observability so the team knows what is working in production and what is regressing

What you need:

  • 5 or more years of professional software engineering experience, with at least 1 year shipping LLM-based or AI-powered features to production
  • Hands-on experience designing or building agentic systems using tool calling, multi-step reasoning, planning loops, or agent orchestration (LangGraph, CrewAI, OpenAI Agents SDK, Claude tool use, or equivalent)
  • Working knowledge of MCP or demonstrated ability to pick it up quickly
  • Strong Python and experience building and deploying backend services and APIs (FastAPI, Flask, or similar)
  • Experience with at least one major LLM provider: OpenAI, Anthropic, Bedrock, Azure OpenAI, Vertex, or open-weight models
  • Working knowledge of RAG: embeddings, vector databases (pgvector, Pinecone, Weaviate, Qdrant, or similar), and retrieval evaluation
  • Comfort with prompt engineering, structured outputs, and tool/function calling
  • Experience writing evals for non-deterministic systems
  • Solid SQL and comfort with relational and unstructured data
  • Familiarity with at least one cloud platform: AWS, Azure, or GCP
  • Strong written communication -- you can explain AI tradeoffs to non-technical stakeholders

Nice to have:

  • Experience authoring MCP servers for non-trivial systems
  • Eval and observability platform experience (Braintrust, LangSmith, Langfuse, Arize, or custom)
  • Multi-agent orchestration and experience reasoning about agent failure modes
  • Fine-tuning, distillation, or LoRA experience
  • Docker, Kubernetes, and CI/CD for AI workloads
  • TypeScript/Node for full-stack AI features
  • Background supporting federal or government clients
  • Awareness of NIST AI RMF, FedRAMP, or related responsible AI frameworks

Requirements:

  • Must be a US citizen or legal resident, able to work domestically
  • Must be able to attain a low-level security clearance

Benefits:

  • Medical insurance (Aetna, Anthem, UnitedHealthcare, Kaiser, and more)
  • Dental insurance (Aetna, Delta Dental, Guardian, MetLife)
  • Vision insurance (Aetna/EyeMed, VSP)
  • Health Savings Account (HSA)
  • Life and AD&D insurance (MetLife)
  • Short-Term and Long-Term Disability (The Hartford)
  • Employee Assistance Program (EAP)
  • Health Advocate
  • Commuter Benefits (HealthEquity)
  • Voluntary benefits (Aflac, MetLife Pet, Legal Services, DIGI, Farmers auto/home)
  • 401K

All interviews will be conducted through video.