Generative AI Engineer, Lead

Key Skills

Algorithms, Apache Kafka, AWS, Azure, Deep Learning, Google Cloud Platform (GCP), Large Language Models - LLMs, Machine learning techniques, UI design, UX design

Job Description

As an experienced engineer, you know that artificial intelligence (AI), particularly Generative AI and large language models (LLMs), has begun transforming the world, including every aspect of the way businesses are run. 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 Booz Allen and its clients execute missions of national importance.

In this role, you will architect and build new generative AI-based products and offerings and their integration into specific client missions, both within the enterprise business context and in operational use cases. You’ll collaborate with a community of research and experimentation leaders, software and IT operations engineers, AI and ML experts, data scientists, solution architects, systems engineers, and product owners to deliver world-class solutions. Your advanced solutioning skills and extensive technical expertise will help drive innovation that is applicable across multiple client domains.

Join us. The world can't wait.

You have:

• 6+ years of experience in software engineering, including leading teams to build customer-facing solutions and products

• Experience with integrating large language models or multi-modal models with applications or user interfaces

• Experience leading and working a collaborative, cross-functional team environment, consisting of security engineers, data scientists, machine learning engineers, and designers

• Knowledge of MLOps, from model training and testing to deployment and monitoring

• Ability to distill complex technical concepts into easily understood summaries consumable by business leaders with a non-technical background

• Ability to obtain a security clearance

• HS diploma or GED

Nice If You Have:

• 2+ years of experience working with modern AI capabilities in machine learning, including deep learning and natural language processing, and LLM frameworks

• Experience with standup of cloud-based infrastructure and platform services including AWS, Azure, or Google Cloud Platform

• Experience working with federal clients

• Possession of strong verbal and written communication skills

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

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 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 $106,200.00 to $242,000.00 (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.