Booz Allen Hamilton
Generative AI and ML Engineer, Lead
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.Generative AI and ML Engineer, Lead
The Opportunity: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.Join us. The world can’t wait.You Have:7+ years of experience within ML, Data Science, Software, or Full Stack Engineering, including in an individual contributor, manager, or advisor role3+ years of experience operationalizing ML applicationsExperience with Generative AI, including transformers or LLM project workExperience architecting agentic workflows and multi-agent systems with LLMsExperience managing or leading high-performing Agile teamsAbility to become competent in branches of MLAbility to distill complex technical concepts into easily understood summaries consumable by business leaders with a non-technical backgroundAbility to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirementsBachelor’s degreeNice If You Have:2+ years of experience applying large language and generative AI models, including transformers and GPT modelsExperience with frameworks, including Huggingface, LangChain, or GPTExperience finetuning LLMsExperience with API design, Containerization, and DevOpsExperience with methods for testing, evaluating, and governing ML modelsExperience with Human In The Loop (HITL) systemsExperience with ML explainability metrics and responsible AIExperience with ML model life cycle processes and toolsKnowledge of the considerations necessary for deploying ML models to compute-constrained hardwareVettingApplicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.CompensationAt 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.Identity StatementAs 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 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.
#J-18808-Ljbffr
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.Generative AI and ML Engineer, Lead
The Opportunity: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.Join us. The world can’t wait.You Have:7+ years of experience within ML, Data Science, Software, or Full Stack Engineering, including in an individual contributor, manager, or advisor role3+ years of experience operationalizing ML applicationsExperience with Generative AI, including transformers or LLM project workExperience architecting agentic workflows and multi-agent systems with LLMsExperience managing or leading high-performing Agile teamsAbility to become competent in branches of MLAbility to distill complex technical concepts into easily understood summaries consumable by business leaders with a non-technical backgroundAbility to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirementsBachelor’s degreeNice If You Have:2+ years of experience applying large language and generative AI models, including transformers and GPT modelsExperience with frameworks, including Huggingface, LangChain, or GPTExperience finetuning LLMsExperience with API design, Containerization, and DevOpsExperience with methods for testing, evaluating, and governing ML modelsExperience with Human In The Loop (HITL) systemsExperience with ML explainability metrics and responsible AIExperience with ML model life cycle processes and toolsKnowledge of the considerations necessary for deploying ML models to compute-constrained hardwareVettingApplicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.CompensationAt 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.Identity StatementAs 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 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.
#J-18808-Ljbffr