Senior AI Platform Engineer

Booz Allen Hamilton

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Laurel, MD
Salary: $86,800–$198,000 / yr
Posted: 58 days ago
Freshness: Confirmed live 2 days ago
Closes: Oct 26, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $193k

This role $142k

$69k most similar roles pay here $254k

This role pays less than 93% of similar roles. Most pay $151,000–$235,750 — the shaded band above. At the midpoint, this role pays about $142k versus about $193k for comparable roles.

Based on 240 similar postings.

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 802 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 783 roles with salary data.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · Senior AI Platform Engineer

Role Posting Log in to save

As an AI Platform Engineer, Senior, you will join the team to create and implement end-to-end solutions that modernize client systems while ensuring they account for broader ecosystems and future functionality. You will be responsible for building artificial intelligence and machine learning solutions to solve complex national security problems. Your daily work involves designing, building, and operating large-scale production systems and managing systems integration across various platforms. The role requires proficiency in Python, AWS cloud engineering, and Kubernetes administration and deployment patterns. You will also implement and scale observability solutions using tools like OpenTelemetry, Grafana, or Prometheus. Preferred technical skills include experience with vLLM, LiteLLM, LangChain, vector databases, and high-performance distributed systems. This role requires a TS/SCI clearance with a polygraph to support critical national security infrastructure.

Skills

AWS Python Kubernetes Grafana Prometheus OpenTelemetry vLLM LiteLLM LangChain Vector Databases Distributed Systems High-Performance Computing APM AI Inference Machine Learning Systems Integration

What you'll do

Design, build, and operate large-scale production systems for client environments.
Develop end-to-end AI and machine learning solutions to modernize client systems.
Perform cloud engineering and infrastructure management within AWS environments.
Manage Kubernetes administration and deployment patterns for scalable applications.
Implement and scale observability solutions using tools like Prometheus, Grafana, or OpenTelemetry.
Lead technical initiatives and influence organizational change across the company.
Develop technical policies and governance frameworks for AI and software systems.
Integrate diverse technologies and platforms to ensure seamless system interoperability.

What we're looking for

TS/SCI clearance with polygraph is required.
A Bachelor's degree and 12+ years of experience in software engineering are required.
16+ years of experience in software engineering may be accepted in lieu of a degree.
Experience designing, building, and operating large-scale production systems.
Experience with cloud engineering in AWS and programming in Python.
Experience with Kubernetes administration and deployment patterns.
Experience implementing and scaling observability solutions like APM, OpenTelemetry, Grafana, or Prometheus.
Experience leading technical initiatives and assisting with developing technical policies and governance frameworks.

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