Sr Advanced Applications Developer Specialist

General Dynamics Mission Systems, Inc•Chantilly, VA

5d•$132,930 - $143,835

About The Position

This role involves turning the Enterprise Growth AI Platform vision into a secure, reliable enterprise capability. The specialist will partner with subject-matter experts to develop prototypes and refine concepts into enterprise-scale applications. Key responsibilities include shaping the technical roadmap, defining solutions with architects, building and operating a shared platform, and guiding safe deployment. This is a hands-on, individual-contributor role requiring the ability to move from strategy to production code and communicate effectively with various stakeholders, including engineers, business partners, and senior executives. The role also encompasses platform operations, technical standards, and influencing technical direction through clear communication.

Requirements

Bachelor's degree in Information Technology, Engineering and/or related field or equivalent relevant experience, plus 8 years of related experience; or Master's degree plus 6 years of related experience.
Certified application developer indicating an advanced or expert degree of application development knowledge is strongly preferred.
U.S. citizenship is required.
Advanced application-development experience across design, development, testing, deployment, administration, support, and modernization.
Strong Python development skills and experience building secure APIs and integrations with enterprise systems, data, identity, and infrastructure.
Experience partnering with subject-matter experts to frame problems, translate outcomes into requirements, develop prototypes, incorporate feedback, and mature solutions for enterprise use.
Experience collaborating with enterprise or solution architects to turn requirements and technical constraints into scalable, compliant application designs.
Experience with automated functional and nonfunctional testing, peer review, CI/CD, security scanning, dependency management, observability, and DevSecOps practices.
Demonstrated experience applying AI, machine learning, or large language models in production-oriented applications.
Advanced problem-solving ability for ambiguous, cross-domain, high-visibility work, including converting uncertainty into options, risks, and mitigation actions.
Demonstrated technical leadership through judgment, delivery, mentoring, and influence.
Strong written, verbal, presentation, and interpersonal skills across technical, business, and executive audiences.

Nice To Haves

Experience managing the lifecycle of an enterprise platform, shared service layer, or integrated application portfolio.
Experience delivering business applications from prototype through enterprise deployment, operations, and modernization.
Experience with LLM APIs, retrieval-augmented generation, agentic workflows, knowledge services, data pipelines, and model evaluation.
Experience with containers, automated delivery, configuration management, monitoring, capacity planning, backup, and recovery.
Experience influencing technical standards and organizational change.

Responsibilities

Platform strategy and delivery: Translate the Growth Platform vision into a sequenced roadmap, investment options, measurable outcomes, and delivery plans, working with designated enterprise and solution architects to define the target architecture.
Community prototyping and maturation: Work with Growth subject-matter experts to clarify business problems, develop and evaluate prototypes, and refine selected concepts into secure, supportable, enterprise-scale applications.
AI-Driven Platform and application development: Build, test, deploy, document, and improve shared Python services, APIs, data and AI capabilities, developer tooling, and selected enterprise applications.
Safe application onboarding: Assess applications developed by others against architectural patterns defined with architects and requirements for integration, dependencies, identity, security, data, reliability, observability, and support readiness before deployment.
Platform operations: Monitor health, troubleshoot incidents, maintain operational procedures, manage technical debt and lifecycle needs, and improve the platform as demand grows.
Technical standards and enablement: Create reusable patterns, reference implementations, automated delivery controls, and guidance that help other developers build and integrate applications effectively.
Technical influence and storytelling: Explain choices, tradeoffs, risks, value, and progress in a way that enables decisions across technical, business, and executive audiences.