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Ai Risk Manager Jobs in Maryland (NOW HIRING)

Huntington

Enterprise Architect (IT)

Hagerstown, MD · On-site +1

$68.50 - $88.25/hr

Familiarity with technology risk management, operational resilience, data privacy, vendor governance, audit, or regulatory examination support. * Familiarity with AI governance, model risk ...

Huntington

Enterprise Architect (IT)

Hagerstown, MD · On-site +1

$102K - $208K/yr

Familiarity with technology risk management, operational resilience, data privacy, vendor governance, audit, or regulatory examination support. * Familiarity with AI governance, model risk ...

Hartman Executive Advisors

MD · On-site

Recruit, vet, and manage a bench of fractional AI & Data Associates consistent with HEA ... Apply right-sized, pragmatic AI governance and risk practices appropriate to mid-market clients ...

Baanyan Software Services, Inc.

Lead AI Engineer

Rockville, MD · On-site

$104K - $137K/yr

... and risk management. Lead the development of systems that analyze content across formats (PDFs ... AI System Architecture Design and implement end-to-end pipelines for: o Document ingestion (PDF ...

New

Revolutional, LLC

Lead Data Scientist

Suitland, MD

$150/hr

Establish AI governance frameworks supporting fairness, bias mitigation, explainability, transparency, and compliance with standards such as the NIST AI Risk Management Framework * Develop ...

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Ai Risk Manager information

How much do AI risk managers make?

AI risk managers typically earn between $100,000 and $180,000 annually, depending on experience, education, and location. Senior roles or those in high-demand industries can offer higher salaries, often supplemented with bonuses and benefits. Strong knowledge of AI systems, risk assessment, and compliance are key skills for this role.

What does an AI risk manager do?

An AI risk manager assesses and mitigates potential risks associated with artificial intelligence systems, including ethical, safety, and compliance concerns. They develop strategies to ensure AI models operate reliably and responsibly, often working with data scientists and engineers to implement risk management frameworks and monitor AI performance. Strong analytical skills and knowledge of AI ethics, regulations, and tools are essential for this role.

What is the difference between Ai Risk Manager vs Data Scientist?

AspectAi Risk ManagerData Scientist
Required CredentialsTypically requires a degree in risk management, AI, or related fields; certifications in AI or risk management are commonRequires a degree in computer science, statistics, or related fields; certifications in data analysis or machine learning are common
Work EnvironmentWorks in financial, insurance, or tech industries focusing on AI risk assessment and mitigationWorks across industries analyzing data, building models, and deriving insights
Employer & Industry UsageUsed by organizations managing AI deployment risks, especially in regulated sectorsUsed by companies developing AI solutions, data-driven products, and analytics teams

The main difference is that an Ai Risk Manager focuses on identifying and mitigating risks associated with AI systems, often requiring knowledge of risk management and AI ethics. In contrast, a Data Scientist primarily analyzes data and builds models to extract insights, with less emphasis on risk mitigation. Both roles may overlap in AI projects but serve distinct functions within organizations.

Is AI going to replace AI Risk Manager jobs?

AI Risk Managers analyze and mitigate risks associated with artificial intelligence systems, a role that requires specialized knowledge of AI technologies, ethics, and compliance. While AI tools can assist in risk assessment, the job involves strategic decision-making and oversight that are unlikely to be fully automated in the near future.

What are popular job titles related to Ai Risk Manager jobs in Maryland?

For Ai Risk Manager jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Ai Risk Manager jobs in Maryland look for?

The top searched job categories for Ai Risk Manager jobs in Maryland are:

What cities in Maryland are hiring for Ai Risk Manager jobs?

Cities in Maryland with the most Ai Risk Manager job openings:

Ai Risk Manager jobs near you
Infographic showing various Ai Risk Manager job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Senior Consultant, Strategy, Growth, and Transformation, Identity & Gen AI Engineer

Deloitte

Baltimore, MD

$113K - $156K/yr

Full-time

Re-posted 28 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services

Job description

As organizations adopt generative AI, securing how AI agents, models, and automated workflows access enterprise systems and data has become a core engineering challenge. As an Identity & Gen AI Engineer, you will build generative AI solutions with identity, access, and trust engineered in from the start, securing both human and non-human identities and governing how AI agents and GenAI platforms reach data and downstream systems. This role focuses on hands-on engineering, integration, and continuous enhancement of AI solutions in which identity and access controls are a first-class concern.

Work you'll do

As an Identity & Gen AI Engineer on the Identity and Access Management team, you will be responsible for...

Build and integrate generative AI solutions, including LLM applications, retrieval-augmented generation, and AI agents, with secure access to data and downstream systems.

Engineer authentication, authorization, and identity controls for AI agents, service accounts, and other non-human identities operating across enterprise and cloud environments.

Develop guardrails for agentic workflows, including scoped permissions, least-privilege access, credential and secrets management, and runtime policy enforcement.

Implement logging, monitoring, and governance that provide traceability and accountability for AI system actions.

Collaborate with IAM, security architecture, and data teams to embed identity controls into GenAI solution delivery and operations.

Create and maintain reference architectures, reusable patterns, and technical documentation for building and securing AI systems.


A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Our Deloitte Cyber team understands the unique challenges and opportunities businesses face in cybersecurity. Join our team to deliver powerful solutions to help our clients navigate the ever-changing threat landscape. Through powerful solutions and managed services that simplify complexity, we enable our clients to operate with resilience, grow with confidence, and proactively manage to secure success.

Our Digital Trust & Privacy offering enables trust and safety of online communications and digital products, protecting users, consumers, and patients from harm. Enables clients to provide consumer confidence in knowing with whom they are dealing and ensuring the integrity of access to data.

Qualifications

Required:

  • Bachelor's degree in Cybersecurity, Computer Science, Information Systems, Engineering, or a similar technical field
  • Ability to work onsite up to 5 days a week.
  • 3+ years of software engineering experience with Python or a comparable language
  • 1+ year of hands-on experience building, integrating, or deploying generative AI solutions such as large language model (LLM) applications, retrieval-augmented generation (RAG), or AI agents, including use of model APIs, orchestration frameworks, and AI development tools such as Claude Code, OpenAI Codex, GitHub Copilot, or Cursor
  • Working knowledge of identity and access management concepts and protocols, including authentication, authorization, single sign-on (SSO), and standards such as OpenID Connect (OIDC), Security Assertion Markup Language (SAML), OAuth, and JSON Web Token (JWT)
  • Ability to travel 15%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Ability to obtain and maintain the necessary security clearance. 
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Experience deploying generative AI solutions to production environments
  • Hands-on experience with identity and access management platforms such as SailPoint, Okta, or Microsoft Entra ID
  • Experience securing non-human or machine identities, service accounts, secrets, and credentials using tools such as HashiCorp Vault or CyberArk
  • Experience with AI agent frameworks and protocols such as LangChain, LangGraph, or Model Context Protocol (MCP)
  • Experience with fine-grained authorization or policy-as-code using tools such as Open Policy Agent (OPA), Cedar, or OpenFGA
  • Familiarity with AI and LLM security risks such as the OWASP Top 10 for LLM Applications, prompt injection, and excessive agency
  • Experience applying AI governance and risk frameworks such as the NIST AI Risk Management Framework (AI RMF)
  • 2+ years of experience building or deploying workloads in cloud environments such as Amazon Web Services (AWS) and Microsoft Azure
  • Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), or a cloud engineering certification such as AWS Certified Solutions Architect or Microsoft Certified: Azure Solutions Architect
  • 1+ year of experience supporting federal government environments
  • 1+ year of experience with infrastructure-as-code or automation technologies such as Terraform or Ansible

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $105,400 to $207,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

As organizations adopt generative AI, securing how AI agents, models, and automated workflows access enterprise systems and data has become a core engineering challenge. As an Identity & Gen AI Engineer, you will build generative AI solutions with identity, access, and trust engineered in from the start, securing both human and non-human identities and governing how AI agents and GenAI platforms reach data and downstream systems. This role focuses on hands-on engineering, integration, and continuous enhancement of AI solutions in which identity and access controls are a first-class concern.

Work you'll do

As an Identity & Gen AI Engineer on the Identity and Access Management team, you will be responsible for...

Build and integrate generative AI solutions, including LLM applications, retrieval-augmented generation, and AI agents, with secure access to data and downstream systems.

Engineer authentication, authorization, and identity controls for AI agents, service accounts, and other non-human identities operating across enterprise and cloud environments.

Develop guardrails for agentic workflows, including scoped permissions, least-privilege access, credential and secrets management, and runtime policy enforcement.

Implement logging, monitoring, and governance that provide traceability and accountability for AI system actions.

Collaborate with IAM, security architecture, and data teams to embed identity controls into GenAI solution delivery and operations.

Create and maintain reference architectures, reusable patterns, and technical documentation for building and securing AI systems.


A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Our Deloitte Cyber team understands the unique challenges and opportunities businesses face in cybersecurity. Join our team to deliver powerful solutions to help our clients navigate the ever-changing threat landscape. Through powerful solutions and managed services that simplify complexity, we enable our clients to operate with resilience, grow with confidence, and proactively manage to secure success.

Our Digital Trust & Privacy offering enables trust and safety of online communications and digital products, protecting users, consumers, and patients from harm. Enables clients to provide consumer confidence in knowing with whom they are dealing and ensuring the integrity of access to data.

Qualifications

Required:

  • Bachelor's degree in Cybersecurity, Computer Science, Information Systems, Engineering, or a similar technical field
  • Ability to work onsite up to 5 days a week.
  • 3+ years of software engineering experience with Python or a comparable language
  • 1+ year of hands-on experience building, integrating, or deploying generative AI solutions such as large language model (LLM) applications, retrieval-augmented generation (RAG), or AI agents, including use of model APIs, orchestration frameworks, and AI development tools such as Claude Code, OpenAI Codex, GitHub Copilot, or Cursor
  • Working knowledge of identity and access management concepts and protocols, including authentication, authorization, single sign-on (SSO), and standards such as OpenID Connect (OIDC), Security Assertion Markup Language (SAML), OAuth, and JSON Web Token (JWT)
  • Ability to travel 15%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Ability to obtain and maintain the necessary security clearance. 
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Experience deploying generative AI solutions to production environments
  • Hands-on experience with identity and access management platforms such as SailPoint, Okta, or Microsoft Entra ID
  • Experience securing non-human or machine identities, service accounts, secrets, and credentials using tools such as HashiCorp Vault or CyberArk
  • Experience with AI agent frameworks and protocols such as LangChain, LangGraph, or Model Context Protocol (MCP)
  • Experience with fine-grained authorization or policy-as-code using tools such as Open Policy Agent (OPA), Cedar, or OpenFGA
  • Familiarity with AI and LLM security risks such as the OWASP Top 10 for LLM Applications, prompt injection, and excessive agency
  • Experience applying AI governance and risk frameworks such as the NIST AI Risk Management Framework (AI RMF)
  • 2+ years of experience building or deploying workloads in cloud environments such as Amazon Web Services (AWS) and Microsoft Azure
  • Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), or a cloud engineering certification such as AWS Certified Solutions Architect or Microsoft Certified: Azure Solutions Architect
  • 1+ year of experience supporting federal government environments
  • 1+ year of experience with infrastructure-as-code or automation technologies such as Terraform or Ansible

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $105,400 to $207,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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