Key Responsibilities

• Design and develop software requirements for multiple Artificial Intelligence-based support capabilities, including software architectures, APIs, frameworks, and libraries.
• Develop the front-end and back-end of software prototypes, components, and tooling to accelerate the prototyping process.
• Maintain and guide the development of common libraries and tools used by multiple teams.
• Maintain the existing code base of in-production applications, performing bug fixes, code and component library updates to meet security and performance needs, and capability enhancements as planned in the sprint schedule.
• Collaborate closely with clients and requirements owners to build out product lines.
• Develop plans, roadmaps, and software design strategies. Analyze and decompose activities and requirements into software designs allocated across systems components/sub-components.
• Contribute to formulating a strategy for achieving rapid prototyping of AI capabilities, including Generative AI.
• Collaborate with data scientists, UX designers, cognitive scientists, developers, and testers to create cohesive and robust software designs forming the basis of scalable AI solutions.
• Document requirements and specifications and review documentation provided by other teams and vendors.
• Optimize software designs and architectures to meet performance targets and devise tooling and methodologies to profile execution and capture performance metrics.
• Stay informed on the latest AI systems, software architectures, and trends, from design patterns to DevSecOps and systems architecture patterns.
• Capture, develop, and report reference architectures and document compliance standards.
• Manage the lifecycle of CI/CD pipelines and optimize software architectures for performance, ensuring compliance with DoD cybersecurity and DevSecOps standards. Integrate containerized environments through Kubernetes.

Required Experience/Clearance

• Bachelor’s degree plus 7-10 years of experience, or a Master’s degree plus 5 years of experience.
• Programming experience with Python, JavaScript, and at least one other programming language (Java preferred).
• Experience with front-end frameworks like React or Vue. Experience with back-end runtimes and frameworks like Node.js, Spring, Spring Boot, Django, Flask, etc.
• Experience with Agile software development methodologies, tools, and providing leadership to other developers operating within an Agile framework.
• DevSecOps experience, including the use of Continuous Integration/Continuous Delivery (CI/CD) tooling (Git runners, code scanning tools).
• Experience with containerization and the use of Kubernetes.
• Familiarity with Object Relational Mapping persistence frameworks (e.g., SQLAlchemy), and with PostgreSQL.
• Strong communication skills. Ability to proactively engage with CDAO members both inside and outside your team.
• Ability to synthesize requirements underlying feature requests, recommend alternative technical and business approaches, and facilitate engineering efforts to meet aggressive timelines.
• Active DoD 8140 IAT Level III certification is preferred.
• Active Top Secret (TS) security clearance with Sensitive Compartmented Information (SCI) eligibility.