Generative AI Engineer, Senior

Key Skills

AWS, Azure, Deep Learning, DevOps, Employee life cycle, Linguistic, Machine learning techniques, R Programming, Reinforcement Learning

Job Description

As an experienced engineer or 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 will help our clients develop solutions that meet the needs of 21st-century, high-intensity warfare against advanced adversaries and provide our forces with decision advantage.

In this role, you’ll lead strategic clients and their customers to the adoption of AI, ML, and LLM capabilities that address various mission needs for both the client enterprise and operational use cases. You’ll share your knowledge with a large community of machine learning engineers across the firm and collaborate with data engineers, data scientists, solutions architects, systems engineers, and product owners to deliver world-class solutions to deliver mentorship, training, and solutions to real-world problems. Your advanced consulting skills and extensive technical expertise will guide clients as they navigate the landscape of AI, ML, and LLM algorithms, tools, and frameworks.

Work with us to solve real-world challenges and define ML strategies for our civil clients.

Join us. The world can’t wait.

You Have:

• 5+ years of experience with supporting machine learning projects
• 2+ years of experience with applying large language and generative AI models, including transformers and GPT models
• 2+ years of experience with researching modern AI capabilities in machine learning, including deep learning and natural language processing, and LLM frameworks
• Ability to become competent in branches of machine learning
• 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 in Computer Science, Mathematics, Linguistics, or Engineering

Nice If You Have:

• Experience with reinforcement learning techniques
• Experience with generative adversarial networks
• Experience with mathematical optimization techniques
• Experience with methods for testing, evaluating, and generating trust in non-deterministic systems
• Experience with ML explainability metrics
• Experience with ML model life cycle processes and tools
• Knowledge of the considerations necessary for deploying ML models to compute-constrained hardware
• Master’s degree in Computer Science, Mathematics, Linguistics, or Engineering

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client; Public Trust determination is required.

Create Your Career:

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 build 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 $93,300.00 to $212,000.00 (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.

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.