Job Description
- Washington, District of Columbia, USA
Key Role:
Assist the client with modernizing through cloud adoption, adoption of data standards, and development of findable, accessible, interoperable, and reusable (FAIR) data architectures, application of artificial intelligence (AI), implementation of health data pipelines, use of high-performance computing, and availability of shared analytics and visualization services. Build relationships and lead efforts related to AI-ready data, AI enabled data pipelines, generative AI solutions, AI operations, responsible AI, high-performance computing, and user support. Help develop on-premises and cloud-based AI solutions to accelerate life science research, protect public health, and transform healthcare. Process data and information at massive scale with AI or machine learning (ML) technologies, apply advanced theories, principles, and concepts, contribute to the development of new principles and concepts, and lead design and hands-on development of solutions to highly complex problems in support of multiple missions’ successes. Provide thought leadership, drive business growth, and develop and maintain client relationships. Take an active role in the development, mentoring, and coaching of a team of data scientists, ML engineers, and domain experts, work to actively enhance the diversity of the firm, and play a lead role in attracting, developing, and retaining a world-class team of AI professionals supporting the firm’s health business.
Join us. The world can’t wait.
Basic Qualifications:
Experience architecting and developing cloud solutions that enable data scientists to build and deploy AI models at scale
Experience using Amazon Web Services, Microsoft Azure, or Google Cloud Platform
Experience with AI, including ML, natural language processing (NLP), generative AI, and computer vision, and integrating AI and ML capabilities into software architecture design
Experience designing architectures that implement the FAIR data principles
Experience integrating DevSecOps or MLOps practices and principles
Experience with different data storage technologies and databases, including data lakes, relational, non-relational, and graph data storage
Experience managing teams
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
Bachelor’s degree
Additional Qualifications:
Experience with public health and life sciences consulting supporting the U.S. government
Experience designing, developing, and supporting on-premises and cloud-based high performance computing environments
Experience leading projects involving ingesting, processing, storing, and analyzing healthcare data, electronic health records, medical imaging, and genomics, and conforming to healthcare regulations and data privacy considerations
Experience developing and mentoring staff at all levels and building an internal capacity to deliver high quality and highly innovative analytics services
Experience with project management, vendor management, and client relationship building
Solutions Architect Certification from a Cloud Service Provider (CSP)
Vetting:
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.
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 $139,400.00 to $259,000.00 (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.