AI Engineer, Junior

As a programmer, 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. Efficient software development teams make the most of their time by limiting activities that take developers away from writing code. That’s why we need you to help shorten the time it takes to develop critical tools and get them into the hands of end-users and decision-makers who rely on them to make timely decisions protecting our nation’s critical cyber infrastructure.

In this role, you’ll contribute to mission-critical solutions by applying best-fit ML algorithms and technologies. You’ll use your development experience to streamline our software development lifecycle from requirements to monitoring in production. You’ll incorporate open-source tools, automation, cloud resources, and large language models to reduce tedious tasks and free up the team’s developers to innovate. You’ll implement continuous integration and delivery to limit manual testing and troubleshooting of artificial intelligence capabilities. This is an opportunity to build your experience in DevOps and CI/CD while developing software that will improve national security. Join our team as we build tools to transform the future of cyber infrastructure.

Your skills and technical experience will help clients navigate the landscape of ML algorithms, tools, and frameworks. Work with us to solve real-world challenges and define AI/ML strategy for cyber threat hunting and defensive cyberspace operations.

Responsibilities

• Apply best-fit ML algorithms and technologies to contribute to mission-critical solutions
• Streamline the software development lifecycle from requirements to monitoring in production
• Incorporate open-source tools, automation, cloud resources, and large language models to reduce manual, repetitive tasks
• Implement continuous integration and delivery to limit manual testing and troubleshooting of AI capabilities
• Develop software that improves national security and transforms cyber infrastructure
• Help clients navigate ML algorithms, tools, and frameworks for cyber threat hunting and defensive cyberspace operations

Requirements

• Experience operating in a software development environment
• Experience leading a team to deliver services to customers
• Experience in scripting, including Python, SQL, and API-driven architectures
• Knowledge of critical concepts in DevOps and Agile principles
• Knowledge of enterprise search technologies such as Elasticsearch
• TS/SCI clearance
• Bachelor’s degree

Nice If You Have

• Experience developing AI Agents and multi-agent architectures
• Experience working with modern data platforms, including Databricks, Apache Spark, or Snowflake
• Ability to triage issues, react well to changes, work with teams, and multitask on multiple products and projects
• Excellent verbal and written communication skills
• DoD 8570 IAT Level II Certification

Benefits

• Health, life, disability, financial, and retirement benefits
• Paid leave
• Professional development and tuition assistance
• Work-life programs and dependent care
• Recognition awards program for exceptional performance and superior demonstration of company 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.

Pay

Salary is determined by various factors, including location, education, knowledge, skills, competencies, experience, contract-specific affordability, and organizational requirements. The projected compensation range for this position is $55,300.00 to $126,000.00 (annualized USD).

Schedule

This posting will close within 90 days from the posting date.

Work model expectations:

• Remote: Primarily virtual, with occasional in-person work at a Booz Allen or customer facility.
• Hybrid: Frequent work from a Booz Allen facility, with potential visits to customer sites as required by the role.
• Onsite: Work primarily performed at a Booz Allen office or customer facility, collaborating directly with colleagues and customers.

Employees working virtually are generally expected to have their cameras on during meetings to support engagement and effective communication.