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Generative AI Engineer, SeniorThe Opportunity: As an experienced engineer, you know that machine learning (ML) is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support a variety of high-impact missions across sectors and domains. As an ML engineer, you'll build pipelines to train, test, deploy, and maintain models that learn from data.
In this role, you'll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You'll be part of a large community of ML engineers across the firm and collaborate with data engineers, data scientists, software engineers, solutions architects, and product owners to deliver world-class solutions to real-world problems, processing data and information at a massive scale, developing pipelines that optimize the use of infrastructure, and integrating critical technologies into efficient user experiences. Your advanced consulting skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.
Work with us to solve real-world challenges and define ML strategy for our firm and our clients.
Join us. The world can't wait.
You Have: 5+ years of experience with artificial intelligence, data science, ML engineering, data research, or data analyticsExperience leading technical teams and project managementExperience with client management and strategic consultingExperience with Generative AI, including transformers or LLM project workExperience with Huggingface, LangChain, or AutoGPTExperience with software engineering and artificial intelligence projectsExperience with a programming language, including Python, Scala, or JavaExperience with project work in deep learning, computer vision, NLP, or signal processingAbility to obtain a Secret clearanceBachelor's degreeNice If You Have: Experience with LLMOps, DevOps, or MLOpsExperience with modern Cloud containerization computing technologies, including Docker or KubernetesExperience with embedded systems programming in C, C++, or RustExperience with GPU programming, including CUDA or RAPIDsKnowledge of modern software design patterns, including microservice design or edge computingAbility to gather requirements from customers and lead Agile teamsMaster's degree in Computer Science or StatisticsClearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
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 $96,600.00 to $220,000.00 (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.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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