As an experienced software engineer or data scientist, you know that Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP), including Large Language Models (LLMs), are critical to understanding and processing massive datasets and informing humans on decision options at machine speed. We need your technical knowledge and problem-solving abilities to identify and develop opportunities for the use of AI, ML, and LLMs to solve real-world business and operational problems that help our clients meet their needs.
In this role, you’ll help develop core technical capabilities that can lead to large impact across strategic clients and their customers, ultimately driving the adoption of GenAI solutions that address various mission needs. You’ll share your knowledge with a large community of ML engineers across the firm and collaborate with data engineers, data scientists, solutions architects, systems engineers, and product owners to deliver world-class solutions. Your advanced consulting skills and extensive technical expertise will guide internal strategy and clients as they navigate the landscape of GenAI models, tools, and frameworks.
Work with us to solve real-world challenges and define ML strategies for our federal clients.
You Have:
- 7+ years of experience within ML, Data Science, Software, or Full Stack Engineering, including in an individual contributor, manager, or advisor role
- 3+ years of experience operationalizing ML applications
- Experience with Generative AI, including transformers or LLM project work
- Experience managing or leading high-performing Agile teams
- Ability to become competent in branches of ML
- Ability to distill complex technical concepts into easily understood summaries consumable by business leaders with a non-technical background
- Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
- Bachelor’s degree
Nice If You Have:
- 2+ years of experience applying large language and generative AI models, including transformers and GPT models
- Experience with frameworks, including Huggingface, LangChain, or GPT
- Experience finetuning LLMs
- Experience with API design, Containerization, and DevOps
- Experience with methods for testing, evaluating, and governing ML models
- Experience with Human In The Loop (HITL) systems
- Experience with ML explainability metrics and responsible AI
- Experience with ML model life cycle processes and tools
- Knowledge of the considerations necessary for deploying ML models to compute-constrained hardware
Vetting
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.
Grow With Us
Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.
A Place Where You Belong
Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll develop your community in no time.
Support Your Well-Being
Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home.
Your Candidate Journey
At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we’ve compiled a list of resources so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us.
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 $125,600.00 to $285,000.00 (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.
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.
EEO Commitment
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.
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