Corporate AI Engineer
USA, VA, McLean (8283 Greensboro Dr, Hamilton), United States
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Full Time Senior-level / Expert USD 128K - 292K
Booz Allen Hamilton
We transform missions with tomorrow’s technologies to advance the country’s most critical civil, defense, and national security priorities.Key Role:
Possesses a strong foundation in machine learning, NLP, and data science, and has developed expertise with Generative AI. Balances broad AI and ML expertise with hands-on GenAI experimentation and solution-building, helping accelerate AI adoption across the enterprise. Leads and contributes to AI and ML projects by prototyping and deploying AI and ML models. Identifies and delivers Generative AI use cases, including LLM-based solutions, prompt engineering, and workflow integration. Mentors junior team members on emerging GenAI practices. Supports the team’s efforts in adoption of AI through custom development, customer engagement, and partnership building. Due to the nature of work performed within this facility, U.S. citizenship is required.
Basic Qualifications:
7+ years of experience in artificial intelligence, machine learning, data science, or data analytics
5+ years of experience developing machine learning models for business applications
5+ years of experience with programming languages, including Python and SQL
5+ years of experience with natural language processing
2+ years of experience with Generative AI tools and techniques, including LLMs, embeddings, RAG, and prompt engineering
2+ years of experience with 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 engagement
Bachelor's degree
Additional Qualifications:
Experience with distributed data and computing tools, including Databricks using Spark
Experience with building or supporting AI agents
Experience in AI ethics, governance, bias mitigation, and responsible AI principles
Experience with technical writing, including presentations
Bachelor's degree in Data Science, Mathematics, Computer Science, Physics, Statistics, or Quantitative Social Sciences
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 $128,700.00 to $292,000.00 (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.
Tags: AWS Azure Computer Science Data Analytics Databricks Data visualization Engineering GCP Generative AI GitHub LLMs Machine Learning Mathematics ML models NLP Physics Power BI Prompt engineering Prototyping Python RAG Responsible AI Spark SQL Statistics Tableau
Perks/benefits: Career development Health care
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