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Artificial Intelligence Engineer, Senior

Booz Allen Hamilton

Charleston, SCFull-time$99–225K/yrPosted 5 days agoStill listed today

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At a glance

Compensation
$99–225K/yr
Location
Charleston, SC
Schedule
Full-time
Work Authorization
US work authorization required

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

TS/SCI clearance, requiredBachelor's degree, required

Job overview

The Senior Artificial Intelligence Engineer will train, test, deploy, and maintain machine-learning models for national security work. The role leads mission-critical solutions, applies machine-learning algorithms and emerging technologies, and collaborates with engineers to build agent architectures, retrieval capabilities, and stateful workflows. The engineer also guides clients on machine-learning algorithms, tools, and frameworks.

Skills & qualifications

RequiredNice to have

Skills

Machine Learning, nice to haveModel Context Protocol, requiredLangGraph, requiredCrewAI, requiredClaude Agent SDK, requiredGraphRAG, requiredKnowledge Graphs, requiredVector Search, requiredDynamic Query Routing, requiredRetrieval Pipelines, requiredJSON Schema, requiredProtocol Buffers, requiredIdentity and Access Management, requiredZero-Trust Entitlements, requiredDistributed Systems Engineering, requiredIdempotency Keys, requiredBudget Enforcement, requiredAsynchronous HITL State Management, requiredContext Compression, requiredState Serialization, requiredSession Persistence, requiredCognitive Architecture Design, required

Qualifications

5+ Years Professional Experience, requiredActive TS/SCI Clearance, requiredWillingness to Take Polygraph, requiredBachelor's in Listed Fields, required

Benefits

Medical Insurance
401(k) Match
Paid Time Off
Tuition Assistance

Full job description

Artificial Intelligence Engineer, SeniorThe Opportunity: As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support national security. As a machine learning engineer on our national security team, you’ll train, test, deploy, and maintain models that learn from data.

In this role, you’ll lead the direction of mission-critical solutions by applying best-fit ML algorithms and introducing leading-edge technologies. You’ll share your knowledge with a talented team of machine learning engineers across the company and collaborate with the team to deliver world class solutions to build agent architectures, advanced retrieval capabilities, and stateful workflows that perform complex tasks while enforcing user permissions and maintaining reliable, controlled execution. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.

Join us. The world can’t wait.

You Have:

  • 5+ years of experience working in a professional environment
  • Experience with production with Model Context Protocol (MCP) server or client implementations, LangGraph, CrewAI, and the Claude Agent SDK
  • Experience deploying GraphRAG, including knowledge graphs and vector search, dynamic query routing, and self-correcting retrieval pipelines
  • Experience with JSON Schema and Protocol Buffers/Protobuf
  • Experience integrating identity and access management (IAM) tokens or claims into AI tool execution layers to enforce zero-trust, per-user data entitlements
  • Experience with engineering, including building fault-tolerant distributed systems, including idempotency keys for external API/tool mutations, implementing early-exit stop conditions, automated budget enforcement, and asynchronous HITL state suspension or resumption
  • Knowledge of context compression, state serialization, and session persistence
  • Ability to design custom, non-standard cognitive architectures when off-the-shelf patterns fall short
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • Bachelor’s degree in Cybersecurity, Computer Engineering, Electrical Engineering, Electronics Engineering, Mathematics, or Computer Science

Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
  • Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

How this job compares

Set against the 6,294 open Machine Learning Engineer jobs on Olive Jobs, counted November 10, 2026.

Pay
  • This posting$99–225K/yr
  • South Carolina median$126–257K/yr40 salary ranges
  • US median$150–246K/yr5,154 salary ranges

This range's midpoint, $162K, is 17% below the South Carolina median midpoint ($195K) — in the lowest quarter of Machine Learning Engineer salary ranges in South Carolina.

Openings
Olive Jobs lists 40 open Machine Learning Engineer jobs in South Carolina and 6,294 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in South Carolina
Experience
This posting asks for at least 5 years of experience; Machine Learning Engineer postings that state a minimum ask for 5 years at the median (5,032 postings).
Education
This posting asks for a bachelor's degree; 2,031 of the 6,294 open Machine Learning Engineer jobs (32%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 10, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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