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Ai Rmf Jobs in Chestertown, MD (NOW HIRING)

Techximius

AI Software Engineer - Java

Aberdeen, MD · On-site

$130K - $160K/yr

Ensure software products comply with DoD security frameworks, RMF requirements, secure coding ... Familiarity with AI/ML frameworks, tools, or libraries such as TensorFlow, PyTorch, OpenAI APIs ...

Booz Allen Hamilton

Cyber Security Code Analyst, Mid

Belcamp, MD · On-site

$61K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Experience withHigh Assurance, RMF, or NIST assessment, validation, or evaluation processes and ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

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All JobsAi Rmf JobsAi Rmf Jobs in Chestertown, MD

Ai Rmf information

See Chestertown, MD salary details

$32.9K

$91.7K

$156.6K

How much do ai rmf jobs pay per year?

As of Aug 14, 2026, the average yearly pay for ai rmf in Chestertown, MD is $91,699.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,200.00 and $110,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by AI RMF professionals?

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 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 is an AI RMF professional?

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 cities near Chestertown, MD are hiring for Ai Rmf jobs?

Cities near Chestertown, MD with the most Ai Rmf job openings:

Ai Rmf jobs near you

AI Software Engineer - Java

Techximius

Aberdeen, MD • On-site

$130K - $160K/yr

Full-time

Re-posted 25 days ago

Job description

Software Developer - Java

Overview

As a solutions-driven organization supporting Department of Defense (DoD) programs, Tech(x) provides mission-focused engineering and technical expertise that enables secure, resilient, and modernized defense capabilities.


Our team is seeking a Java Software Developer to support the development, integration, and sustainment of enterprise and tactical software systems used across DoW networks and operational environments. This role will contribute to modernizing applications through secure coding practices, scalable microservices architecture, DevSecOps pipelines, and emerging Artificial Intelligence (AI) and Machine Learning (ML) enabled capabilities supporting defense mission systems.


The ideal candidate will possess strong Java development expertise while also demonstrating familiarity with AI/ML concepts, data-driven applications, intelligent automation, and modern software frameworks supporting advanced analytics and decision-support systems.


Responsibilities

  • Design, develop, and maintain Java-based enterprise applications and backend services supporting DoD mission systems.
  • Build and support RESTful APIs and microservices architectures using modern Java frameworks such as Spring Boot, Spring MVC, or Jakarta EE.
  • Develop secure and scalable software solutions compliant with DoD cybersecurity standards and secure coding practices.
  • Participate in the full Software Development Lifecycle (SDLC) including requirements analysis, architecture design, development, testing, deployment, and sustainment.
  • Integrate applications with databases, messaging services, and external systems using technologies such as REST, SOAP, JMS, or gRPC.
  • Support the development of distributed systems and cloud-enabled applications in government environments.
  • Assist in the integration of Artificial Intelligence (AI) and Machine Learning (ML) capabilities into enterprise and tactical software solutions.
  • Develop and support AI-enabled software components including intelligent automation, predictive analytics, data processing pipelines, or decision-support applications.
  • Collaborate with data engineers, AI/ML engineers, and system architects to integrate machine learning models into operational Java applications.
  • Support software interfaces with AI/ML frameworks, APIs, and analytics platforms.
  • Implement automated unit, integration, and regression testing to ensure software reliability and maintainability.
  • Contribute to DevSecOps pipelines, CI/CD automation, and containerized deployments using tools such as Git, Jenkins, Maven, Gradle, Docker, Kubernetes, or similar technologies.
  • Troubleshoot and resolve software defects across development, integration, and production environments.
  • Collaborate with system engineers, cybersecurity teams, and test engineers to ensure compliance with program requirements and security controls.
  • Participate in code reviews, technical design reviews, and architecture discussions.
  • Support integration and testing activities in development laboratories and operational test environments.
  • Produce technical documentation including design documents, interface specifications, software implementation guides, and AI/ML integration documentation.
  • Ensure software products comply with DoD security frameworks, RMF requirements, secure coding standards, and government development standards.
  • Perform other duties as assigned in support of program objectives.
Qualifications
  • Strong experience with Java software development in enterprise or mission-critical environments.
  • Experience developing applications using Java frameworks such as Spring Boot, Spring Framework, or Jakarta EE.
  • Experience designing and implementing RESTful services and microservices architectures.
  • Familiarity with object-oriented design principles, design patterns, and secure coding practices.
  • Experience working with relational or NoSQL databases such as PostgreSQL, Oracle, MySQL, or MongoDB.
  • Experience using version control and CI/CD tools such as Git, Jenkins, Maven, or Gradle.
  • Experience working in Linux-based development environments.
  • Understanding of DevSecOps practices and container technologies such as Docker or Kubernetes is preferred.
  • Familiarity with Artificial Intelligence (AI), Machine Learning (ML), or data analytics concepts and their integration into software applications.
  • Experience integrating software with AI/ML APIs, analytics engines, or data processing services is preferred.
  • Familiarity with AI/ML frameworks, tools, or libraries such as TensorFlow, PyTorch, OpenAI APIs, LangChain, Hugging Face, or similar technologies is a plus.
  • Understanding of data pipelines, model deployment, inference services, or intelligent automation concepts is desired.
  • Experience supporting large-scale government, defense, or enterprise systems.
  • Familiarity with DoD cybersecurity frameworks, RMF, STIG compliance, or Zero Trust concepts is a plus.
  • Proficiency with Microsoft 365 tools including Outlook, Word, PowerPoint, Excel, and Teams.
  • Strong written and verbal communication skills.
  • Ability to work effectively in team-oriented, mission-focused environments.

Clearance:

  • A current DoD secret or higher, clearance.


Education & Experience:

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • 5-10 years of experience.
  • 4 years of direct related experience can be substituted for a Bachelor’s degree.


Location:

  • Monday-Friday, on site at Aberdeen Proving Grounds, Maryland.


Travel:

  • None


Join the Team:


Tech(x) is a customer-centric team supporting both external and internal customers. Our employees work collaboratively to achieve mission success while supporting innovation, modernization, and emerging technologies across defense environments. Tech(x) is an Equal Opportunity Employer.