Agentic AI Developer

Booz Allen Hamilton

Actively hiring Verified listing
San Antonio, TX Posted 9 days ago $99,000–$225,000 / year
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At a glance

AI generated

TL;DR

As an Agentic AI Developer on the Air Power team, you will be a senior engineer responsible for training, testing, deploying, and maintaining mission-critical models that process vast datasets. You’ll collaborate with data engineers, scientists, architects, and product owners to develop cutting-edge agentic frameworks and deliver innovative solutions that transform how the Air Force operates daily. Your day-to-day involves building secure data foundations on enterprise cloud platforms like AWS, designing event-driven integrations, implementing MLOps practices, and translating tacit knowledge into explicit tools with domain experts. You should have 2+ years of experience in Python, TypeScript, or Java, developing AI-enabled applications, and deploying models to solve mission-critical problems. Experience with geospatial data, knowledge-centric systems, sensor integration, Kubernetes, and computer vision pipelines is a plus.

Skills

Python FastAPI Flask REST GraphQL AWS MLOps DevSecOps CI/CD Kubernetes Terraform Docker Prometheus Grafana PostgreSQL Redis VectorDB KnowledgeGraph SemanticSearch Kafka RabbitMQ NATS OpenShift

What you'll do

  • Develop and deploy mission-critical Agentic AI models using cutting-edge frameworks.
  • Train, test, and maintain AI-enabled applications like LLMs and RAG to solve complex problems.
  • Build secure data foundations on enterprise cloud platforms for reuse across teams.
  • Design event-driven integrations and workflow automation for efficient data processing.
  • Implement MLOps practices in regulated environments to ensure model quality and security.

What we're looking for

  • 2+ years of experience building production-grade software using Python, TypeScript, Java with APIs like FastAPI, Flask, REST.
  • 1+ year developing and deploying AI-enabled applications including LLMs, RAG, GraphRAG for mission-critical problems.
  • Experience in secure data foundations on enterprise cloud platforms like AWS, governed ingest, file exchange, and metadata management.
  • Expertise in designing event-driven integrations and workflow automation using asynchronous messaging and job orchestration techniques.
  • Knowledge of MLOps or DevSecOps practices including CI/CD, containerization, automated testing, model evaluation in regulated environments.

Market check

Salary context

This $99,000–$225,000 range sits above 33% of similar postings on FindRole.

Peer median band

$164,700–$239,350

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$159,750–$246,150

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 627 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 614 roles with salary data.

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