Senior AI Developer

**ACTIVE TS/SCI SECURITY CLEARANCE REQUIRED** If you are an experienced, collaborative self-starter with AI development experience, D2 is the place for you. Here, you can make your career your own by embracing autonomy, seizing opportunity, and being trusted to deliver your best every day. There is not a challenge we can’t turn into an opportunity. Our work depends on a TS/SCI level cleared Senior AI Developer joining our team to support our Intelligence customer in Springfield, VA. What you get to do every day: Integrate multiple data streams into customer system Complete Cloud platform migrations (between currently existing and available platforms) Develop AI features for existing Ontology-based software applications Create sustainable software applications – work is estimated accurately, branching strategies are efficient, code repos are maintained, etc. Work as a member of a agile scrum team and participates in regular agile ceremonies applying scrum methodologies – daily stand up, planning, sprint reviews, demos, retrospectives Implement requirements from the product backlog Assist in writing backlog requirements/user stories Utilize a modern DevSecOps approach in building software applications Develop and modify applications, software, services, utilities, interfaces, and IT systems that support systems and analysts Required skills: 8+ years of experience Bachelor’s degree in Computer Science, computer engineering, systems engineering, or any related field/major, or 3 additional years of experience in information technology. Senior-level software development experience designing, developing, and maintaining secure, scalable, and mission-focused applications Strong programming experience with Pyton, Java, and Scala Experience developing and integrating RESTful APIs, Git-based workflows, automated unit/integration/system testing, CI/CD pipelines, and modern software delivery practices Hands-on experience with Docker/containerization, microservice architectures, Helm, and development container environments Experience developing applications using Generative AI technologies, including Retrieval-Augmented Generation (RAG), Large Language Models (LLMs) and LLM-enabled workflows Experience designing, deploying, and supporting cloud-native applications using AWS, Openshift, or Kubernetes Experience integrating, transforming, and managing data from multiple sources, organizations, and network environments Experience deploying applications into new or complex network environments Experience applying DevSecOps principles, such as code hardening, dependency/package updates, vulnerability remediation, and automated security scanning Ability to troubleshoot software and collaborate across development, infrastructure, security and mission teams Desired: Familiarity with data normalization, transformation, and visualization techniques Familiarity with graph-based data models, data relationships, and…