Identity and Access Management

Identity and Access Management Data Jobs

3 jobs found

9d ago

AI Engineer - ICAM

General Dynamics Information Technology Indianapolis, IN 🇺🇸 Remote

Indianapolis, IN

9d ago

$153k - $207k/yr Full time Ai Ml Analytics Artificial Intelligence

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Job Description

General Dynamics Information Technology seeks a remote AI Engineer for the ICAM program in Indiana. The role centers on designing, developing, and deploying AI and ML solutions to advance Identity, Credential, and Access Management across the Department of War enterprise, covering concept development through production and governance. The position offers a annual compensation range of USD 153,000 to 207,000.

Responsibilities

Design, develop, test, and deploy AI and machine learning solutions aligned with enterprise ICAM objectives.
Identify opportunities to enhance identity governance, access management, onboarding, and operational workflows through AI-driven capabilities.
Create predictive analytics, anomaly detection, behavioral analysis, and risk-scoring models using ICAM data.
Support the implementation of Generative AI, Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and intelligent assistants to boost operational efficiency and user support.
Analyze large volumes of authentication, authorization, audit, entitlement, and access governance data to extract trends, risks, and actionable insights.
Collaborate with engineers and architects to integrate AI capabilities into existing ICAM platforms and enterprise services.
Evaluate emerging AI technologies and recommend solutions applicable to ICAM, Zero Trust, and cybersecurity use cases.
Develop proofs of concept, prototypes, and pilots to validate AI capabilities before enterprise adoption.
Support the creation of AI governance processes, model validation procedures, and responsible AI controls.
Produce technical documentation, architecture artifacts, implementation plans, and operational procedures.
Participate in Agile development activities including sprint planning, backlog refinement, demonstrations, and retrospectives.
Collaborate with cybersecurity teams to ensure AI capabilities align with Department of War security requirements, privacy protections, and risk management frameworks.
Support data preparation, feature engineering, model evaluation, tuning, and performance monitoring activities.
Provide technical leadership and subject matter expertise regarding AI technologies and industry best practices.

Requirements

Education and experience: Bachelor’s Degree with at least 8 years of related experience; an additional 4 years may substitute for the degree.
Clearance: Active Secret security clearance required.
Certification: Active CompTIA Security+ certification or higher.
5+ years of experience in artificial intelligence, machine learning, data science, advanced analytics, or software engineering.
Experience designing, developing, or implementing enterprise AI solutions.
Strong proficiency with Python and AI/ML development frameworks.
Experience with machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, Hugging Face, or equivalent technologies.
Experience developing and deploying Large Language Model solutions, prompt engineering techniques, and Retrieval Augmented Generation architectures.
Experience with natural language processing, semantic search, vector databases, and knowledge retrieval technologies.
Experience working with structured and unstructured datasets, data preparation, model training, and performance evaluation.
Understanding of statistical analysis, predictive modeling, classification, clustering, and anomaly detection techniques.
Experience integrating AI solutions with enterprise applications, APIs, and business processes.
Familiarity with Microsoft Azure AI Services, Azure OpenAI, AWS Bedrock, Anthropic, OpenAI, or equivalent platforms.
Proven track record supporting enterprise IT customers, preferably within Department of War or Federal Government environments.

Technologies

Python
TensorFlow
PyTorch
Scikit-learn
Hugging Face
Retrieval Augmented Generation (RAG)
Large Language Models (LLMs)
Natural Language Processing (NLP)
Semantic search
Vector databases
Microsoft Azure AI Services
Azure OpenAI
AWS Bedrock
Anthropic
OpenAI

Benefits

Growth: AI powered career tool that identifies career steps and learning opportunities.
Support: Internal mobility team focused on helping you achieve your career goals.
Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off.
Community: Award winning culture of innovation and a military friendly workplace.

Work Requirements

Years of Experience: 8+ years of related experience.
Travel: Travel varies, with less than 10% expected.
Certification: CompTIA Security+ CE or higher.
Citizenship: U.S. Citizenship required.

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11d ago

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

Deloitte Arlington, VA

Arlington, VA

11d ago

$105k - $208k/yr Full time Senior Agentic Ai Artificial Intelligence

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Job Description

As a Senior Consultant, Identity & Gen AI Engineer on Deloitte's Identity and Access Management team, you will help design and deploy secure generative AI solutions with identity, access, and governance ingrained from the start. This role combines advanced AI capabilities with enterprise security controls to enable scalable, compliant deployments that protect data and downstream systems.

Responsibilities

Design and integrate generative AI capabilities, including large language model apps, retrieval-augmented generation workflows, and AI agents, with secure access to data and downstream systems.
Create authentication, authorization, and identity controls for AI agents, service accounts, and other non-human identities across enterprise and cloud environments.
Establish guardrails for agent-driven workflows, including scoped permissions, least-privilege access, secrets management, and runtime policy enforcement.
Implement logging, monitoring, and governance to 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.
Develop and maintain reference architectures, reusable patterns, and technical documentation for building and securing AI systems.

Requirements

Bachelor's degree in Cybersecurity, Computer Science, Information Systems, Engineering, or a related technical field
Ability to work onsite up to five 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 LLM applications, RAG, or AI agents, including use of model APIs, orchestration frameworks, and AI development tools like 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), SAML, OAuth, and JSON Web Token (JWT)
Ability to travel 15% on average based on client needs
Ability to obtain and maintain the necessary security clearance
Legally authorized to work in the United States without employer sponsorship now or in the future

Technologies

Python
Claude Code
OpenAI Codex
GitHub Copilot
Cursor
LangChain
LangGraph
Model Context Protocol (MCP)
Open Policy Agent (OPA)
Cedar
OpenFGA
SailPoint
Okta
Microsoft Entra ID
HashiCorp Vault
CyberArk
Terraform
Ansible
AWS
Microsoft Azure
OIDC
SAML
OAuth
JWT

Benefits

Discretionary annual incentive program

The Team

Our Deloitte Cyber team understands the unique challenges and opportunities businesses face in cybersecurity. Join our team to deliver powerful solutions that help clients navigate a dynamic threat landscape, with managed services that simplify complexity and enable resilient operations, confident growth, and proactive security management.

Our Digital Trust & Privacy offering focuses on enabling trust and safety for online communications and digital products, protecting users, consumers, and patients from harm. It supports clients in delivering consumer confidence and ensuring data access integrity.

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2mo ago

Senior Machine Learning Engineer

Amazon Development Center U.S., Inc. Seattle, WA

Seattle, WA

2mo ago Closed

$168k - $227k/yr Full time Analytics AWS Cloud

This position is no longer accepting applications (closed Jun 6, 2026).

Job Description

Senior Machine Learning Engineer for AWS Identity Analytics at Amazon Development Center U.S., Inc., focusing on end-to-end ML solutions and LLM-powered analytics agents to turn identity logs and metrics into actionable insights for AWS Identity leadership.

Responsibilities

Design, build, and deploy end-to-end ML solutions that include anomaly detection, time-series forecasting, classification, and optimization to turn Identity logs, policies, and metrics into proactive insights.
Develop and operate LLM powered agents that serve as intelligent interfaces to Identity data, enabling service teams to query, explore, and act on insights through conversational interactions.
Engineer features from petabyte-scale datasets using AWS Glue, Athena, and EMR; deploy models to production environments using SageMaker, ECS, and EKS.
Collaborate with AWS Identity leadership, product managers, IAM, STS, and other service teams to define success metrics, design experiments, validate models, and translate findings into decisions.
Apply cutting edge ML, deep learning, and GenAI techniques to Identity Analytics challenges, promoting rapid experimentation and continuous learning.
Communicate complex technical concepts clearly to audiences with varying levels of technical sophistication, including senior leadership.
Mentor junior engineers and contribute to the team's long term technical direction.

Requirements

5+ years of non-internship professional software development experience
5+ years of programming experience in at least one software language
5+ years leading design or architecture of new and existing systems, focusing on design patterns, reliability, and scalability
Experience as a mentor, tech lead, or leading an engineering team
Experience with machine learning and large language model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in machine learning, data mining, information retrieval, statistics or natural language processing
Bachelor's degree in computer science or equivalent

Technologies

Glue
Athena
EMR
SageMaker
ECS
EKS

Benefits

Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
paid time off
parential leave
sign-on payments
restricted stock units (RSUs)

Details

Location: Seattle, WA (onsite)
Salary: USD 168,100 - 227,400 per year
Minimum Experience: 5 years

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Identity and Access Management Data Jobs

AI Engineer - ICAM

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

Senior Machine Learning Engineer

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