AI Engineer

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YOUR CANDIDATE JOURNEY

Discover what to expect during your journey as a candidate with us.

Possess a strong foundation in machine learning (ML), natural language processing (NLP), and data science, and develop expertise with Generative AI. Balance broad AI and ML expertise with hands-on GenAI experimentation and solution-building, helping accelerate AI adoption across the enterprise. Lead and contribute to AI and ML projects by prototyping and deploying AI and ML models. Identify and deliver Generative AI use cases, including LLM-based solutions, prompt engineering, and workflow integration. Mentor junior team members on emerging GenAI practices. Support the team’s efforts in adoption of AI through custom development, customer e nga gement, and partnership building.

Basic Qualifications:

7+ years of experience in AI, ML, data science, or data analytics

5+ years of experience developing ML models for business applications

5+ years of experience with programming languages, including Python and SQL

2+ years of experience with Generative AI tools and techniques, including LLMs, embeddings, RAG, and prompt engineering

2+ years of experience contributing to or collaborating on analytics products using version control systems, including GitHub

Experience with cloud platforms, such as AWS, Azure, or GCP

Experience with data visualization or dashboarding tools, including Tableau or Power BI

Experience with client management and stakeholder e nga gement

Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements

Additional Qualifications:

Experience with distributed data and computing tools, including Databricks using Spark

Experience building or supporting AI agents

Experience in AI ethics, governance, bias mitigation, and responsible AI principles

Experience with technical writing, including presentations

Public Trust

Bachelor's degree in Data Science, Mathematics, CS, Physics, Statistics, or Quantitative So cia l Sciences

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

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.

AI Engineer

Key Role:

Possess a strong foundation in machine learning (ML), natural language processing (NLP), and data science, and develop expertise with Generative AI. Balance broad AI and ML expertise with hands-on GenAI experimentation and solution-building, helping accelerate AI adoption across the enterprise. Lead and contribute to AI and ML projects by prototyping and deploying AI and ML models. Identify and deliver Generative AI use cases, including LLM-based solutions, prompt engineering, and workflow integration. Mentor junior team members on emerging GenAI practices. Support the team’s efforts in adoption of AI through custom development, customer e nga gement, and partnership building.

Basic Qualifications:

• 7+ years of experience in AI, ML, data science, or data analytics

• 5+ years of experience developing ML models for business applications

• 5+ years of experience with programming languages, including Python and SQL

• 2+ years of experience with Generative AI tools and techniques, including LLMs, embeddings, RAG, and prompt engineering

• 2+ years of experience contributing to or collaborating on analytics products using version control systems, including GitHub

• Experience with cloud platforms, such as AWS, Azure, or GCP

• Experience with data visualization or dashboarding tools, including Tableau or Power BI

• Experience with client management and stakeholder e nga gement

• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements

• Bachelor's degree

Additional Qualifications:

• Experience with distributed data and computing tools, including Databricks using Spark

• Experience building or supporting AI agents

• Experience in AI ethics, governance, bias mitigation, and responsible AI principles

• Experience with technical writing, including presentations

• Public Trust

• Bachelor's degree in Data Science, Mathematics, CS, Physics, Statistics, or Quantitative So cia l Sciences

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

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 application process, 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.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific 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.

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