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Generative Ai Engineer Internship Jobs in Reston, VA

Credence

Mid-Level AI Engineer

Mclean, VA · On-site

$100 - $130/hr

Generative AI & LLM Usage Contribute to projects using generative AI and LLMs, helping to prototype ... Experience with Bedrock, Strands, Q Developer, Kiro, AgentCore Gateway. * Exposure to AWS ...

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Generative Ai Engineer Internship information

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How much do generative ai engineer internship jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for generative ai engineer internship in Reston, VA is $20.09, according to ZipRecruiter salary data. Most workers in this role earn between $16.78 and $21.78 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the generative AI engineer internship position, and why are they important?

To thrive as a Generative AI Engineer Intern, you need a solid understanding of machine learning fundamentals, deep learning frameworks, and experience with programming languages such as Python. Familiarity with tools like TensorFlow, PyTorch, and version control systems is often expected, and relevant coursework or certifications in AI or data science are advantageous. Strong problem-solving abilities, communication skills, and eagerness to learn help distinguish top candidates in collaborative, fast-paced environments. These skills are vital for effectively developing, testing, and iterating on generative models that address real-world challenges.

What kinds of projects or tasks do generative AI engineer interns typically work on during their internship?

Generative AI Engineer Interns usually contribute to projects involving model architecture development, data preprocessing, and evaluation of generative algorithms for tasks like text, image, or audio synthesis. Interns often collaborate closely with senior engineers and data scientists, participate in code reviews, and assist in optimizing model performance or preparing proofs of concept for new generative applications. You may also be involved in researching state-of-the-art methods and presenting your findings to the team. These experiences offer valuable hands-on exposure and are designed to prepare you for a future full-time role in AI engineering.

What is a generative AI engineer internship?

A Generative AI Engineer Internship is a temporary position where interns work on developing and optimizing AI models that generate content, such as text, images, or code. Interns typically assist in training, fine-tuning, and testing deep learning models, often using frameworks like TensorFlow or PyTorch. They may also work with large datasets, implement prompt engineering, and collaborate with researchers or engineers. This role provides hands-on experience in machine learning, model deployment, and AI ethics, helping interns build expertise in the field.

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

Deloitte

Rosslyn, VA

$130K - $178K/yr

Full-time

Re-posted 19 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th 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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