AI Architect

Leidos Digital Modernization Group in Windsor Mill, MD in support of the End User Centric IT Support (ECIS) Contract for Centers for Medicare and Medicaid Services (CMS) is looking to improve and advance the organization. Our program is focused on the delivery of end-user centric IT technology solution to our customer CMS where we are challenged to provide ongoing innovative and seamless experience while using CMS systems, applications and solutions, provide proactive secure development of IT integrations, concepts, and designs across the CMS enterprise and integrate end-user computing devices, conference room technology, infrastructure hardware and software, and user applications into a streamlined and seamless experience across the CMS user base. We foster a positive end-user experience while ensuring protection of the data.

Primary Responsibilities

The successful candidate under the direction of the Development and Engineering Lead, Product Manager, Program Manager and Deputy Program Manager will work within an Agile ITIL environment with a large focus on DevOps. The candidate will be a member of the ECIS Development Team providing Subject Matter Expert support for AI Platforms. You’ll play a pivotal role in designing, developing, and delivering cutting-edge software solutions that drive innovation and enhance the user experience across a wide range of Microsoft, AWS, and other services.  Independently develop solutions, approaches, or make recommendations to resolve a wide range of complex or difficult problems for both internal/external customers including vendors. These processes and production requirements often require a flexible work schedule.  The Candidate may need to give presentations from time to time and often this entails producing well written technical documents specific to the customer's environment and objectives. The candidate will participate in scrum sprint activities as needed for AI related solutions.  Candidate must be able to speak clearly and communicate effectively (both written and verbally) with a customer's technical staff as well as Senior Management.  Additional responsibilities will include but not limited to:

• Design and implement artificial intelligence (AI) infrastructure within the customer environment.

• Support the development, deployment and execution of AI services.

• Envision, build, deploy, and operationalize AI and machine learning (ML) pipelines.

• Develop AI strategic roadmaps that align with the customer goals and objectives.

• Collaborate with stakeholders to capture business requirements and improve how AI technology is integrated into the customer business processes to drive innovation and transform business processes.

• Ensuring solutions are scalable, secure, and aligned with business objectives.

• Defining data models and overall, AI solution architecture.

• Lead customer workshops to identify pain points and design effective AI solutions.

• Work with other IT team members, including data scientists and leaders, to support digital transformation.

• Develop new AI-related applications and manage programmers.

• Collaborate with security professionals to manage potential risks and implement AI technologies, applications, and infrastructure in keeping with ethical policies.

• Provide technical guidance to junior engineers and project teams.

• Architect scalable, secure, and maintainable solutions.

• Stay up to date with the latest AI technologies and best practices.

• Work closely with other teams to ensure seamless integration and alignment.

• Champion a collaborative culture, sharing knowledge and fostering innovation.

• Optimize performance, scalability, and reliability.

• Assist in the development of concise and accurate engineering documentation on current and proposed cloud environments including Visio Diagrams, As-Built documents, recommendations for solutions, run books, knowledge guides, and other operations guides.

• Work with little or no supervision, provide guidance to the team when necessary, and be able to adapt to changing requirements.

• Participate as required with Agile Scrum sprints and other Agile ceremonies.

• Stay abreast of current and emerging technologies, regularly analyzing and evaluating their impact and benefit to the customer by providing recommendations to management

Basic Qualifications

• MINIMUM requirements to be considered for the position is a BS degree and 12 – 15 years of prior relevant experience or a master’s degree with less than 10 - 13 years of prior relevant experience. Additional years of experience may be substituted in lieu of degree.

• Must be able to obtain and maintain a Public Trust or higher security Clearance.

• Must have expert knowledge of AI Technologies.

• Expert knowledge of data management and governance.

• Strong experience with Microsoft Azure AI services (e.g., Azure Machine Learning, Cognitive Services) and AWS AI services (e.g., SageMaker, Rekognition, Lex).

• Strong programming skills in Python, R, and familiarity with AI frameworks such as TensorFlow, PyTorch, or similar.

• Strong experience with data engineering, including ETL processes and data pipeline construction.

• Strong excellent problem-solving skills and the ability to work in a fast-paced environment.

• Strong communication and interpersonal skills, with the ability to collaborate effectively across teams.

Preferred Qualifications

• Strong Machine learning models and natural language processing experience.

• Strong experience with DevOps practices and tools for continuous integration and deployment (CI/CD).

• Strong experience with AI infrastructure, application deployment, and operations.

• Strong knowledge of containerization technologies such as Docker and Kubernetes.

• Strong experience with big data technologies (e.g., Hadoop, Spark) and their applications in AI.

• Experience with tools like Kubernetes and Git.

• Experience with analytics and programming tools, including Python and R.

• Experience with data system design and deployment.

• Previous experience working in an agile scrum environment.

• Previous experience employing DevOps methodologies.

• Strong leadership experience and willingness to embrace change.

• Experience with change control principals and ticket with Service Now (SNOW).

• Understanding of agency Capstone and NARA data retention compliance principles.

• Experience with design, planning and implementation in environments with 10,000+ users.

• Certifications in Microsoft Azure and/or AWS are highly desirable.

All candidates supporting the CMS programs must have lived in the United States at least three (3) out of the last five (5) years prior in order to be considered.

Original Posting:

March 21, 2025

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $126,100.00 - $227,950.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.