Booz Allen Hamilton
Generative AI Engineer, Senior
Booz Allen Hamilton, Bethesda, Maryland, us, 20811
Your growth matters to us - explore our career development opportunities.A PLACE WHERE YOU BELONG
Bring your whole self to work in our culture of respect and inclusivity.SUPPORT YOUR WELLBEING
Learn how we’ll support you as you pursue a balanced, fulfilling life.YOUR CANDIDATE JOURNEY
Discover what to expect during your journey as a candidate with us.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 with Generative AI, including transformers or LLM project workExperience with Huggingface, LangChain, or AutoGPTExperience with software and artificial intelligence projectsExperience with a programming language, including Python, Scala, or JavaExperience with project work in deep learning, computer vision, NLP, or signal processingExperience with modern Cloud containerization computing technologies, including Docker or KubernetesKnowledge of modern software design patterns, including microservice design or edge computingAbility to obtain a security clearanceBachelor's degreeNice If You Have:Experience with LLMOps, DevOps, or MLOpsExperience with embedded systems programming in C, C++, or RustExperience with GPU programming, including CUDA or RAPIDsAbility 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.Grow With UsYour 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.Our Comprehensive BenefitsDiverse 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.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 JourneyAt 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.CompensationSalary 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.Work ModelOur 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 CommitmentWe’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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Bring your whole self to work in our culture of respect and inclusivity.SUPPORT YOUR WELLBEING
Learn how we’ll support you as you pursue a balanced, fulfilling life.YOUR CANDIDATE JOURNEY
Discover what to expect during your journey as a candidate with us.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 with Generative AI, including transformers or LLM project workExperience with Huggingface, LangChain, or AutoGPTExperience with software and artificial intelligence projectsExperience with a programming language, including Python, Scala, or JavaExperience with project work in deep learning, computer vision, NLP, or signal processingExperience with modern Cloud containerization computing technologies, including Docker or KubernetesKnowledge of modern software design patterns, including microservice design or edge computingAbility to obtain a security clearanceBachelor's degreeNice If You Have:Experience with LLMOps, DevOps, or MLOpsExperience with embedded systems programming in C, C++, or RustExperience with GPU programming, including CUDA or RAPIDsAbility 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.Grow With UsYour 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.Our Comprehensive BenefitsDiverse 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.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 JourneyAt 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.CompensationSalary 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.Work ModelOur 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 CommitmentWe’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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