About the Role
Title: Senior EDGE AI/ML and Data Engineer
Job Description:
Job ID Number
RQ188905
Falls Church, VA, US
Category
Science
Employment Type
Full Time
Business Unit
GDI
Responsibilities for this Position
Location: Any Location / Remote
Full Part/Time: Full time
Job Req: RQ188905
Type of Requisition:
Regular
Clearance Level Must Currently Possess:
None
Clearance Level Must Be Able to Obtain:
Secret
Public Trust/Other Required:
None
Job Family:
Artificial Intelligence
Job Qualifications:
Skills:
AI Systems, Data Engineering, Data Science
Certifications:
None
Experience:
10 + years of related experience
US Citizenship Required:
Yes
Job Description:
Influence innovation and problem-focused AI/ML/Data solutions as an AI/ML and Data Solution Architect with the GDIT Defense CTO office. This position works directly with GDIT growth, program, and R&D teams to develop cutting-edge AI/ML/Data solutions for the modern Warfighter.
Position Highlights:
- Role: Lead the architecture and deployment of cutting-edge AI/ML solutions for mission-critical Department of Defense (DoD) operations, with a focus on edge AI, sensor fusion, and generative AI technologies.
- Impact: Drive the adoption of AI/ML solutions to enhance operational effectiveness, situational awareness, and data-driven decision-making in complex DoD environments.
- Innovation: Develop proof-of-concept (PoC) and minimum viable product (MVP) solutions, leveraging advanced AI/ML models in edge computing environments, sensor fusion, and correlation to optimize defense systems.
- Collaboration: Work closely with interdisciplinary teams, including growth, program data scientists, system engineers, cybersecurity experts, and DoD stakeholders, to integrate and align AI solutions with mission objectives.
- Mission-First: Ensure that solutions meet the stringent security, scalability, and reliability requirements necessary for mission success in DoD operations.
Key Responsibilities:
- Design and implement AI/ML solutions with a focus onedge computingto support real-time decision-making in deployed and resource-constrained environments.
- Develop and lead efforts insensor fusion and correlation, enabling intelligent, data-driven insights from multiple sensor streams.
- Collaborate with teams to rapidly build and testminimum viable products (MVPs)for AI solutions that address DoD-specific operational challenges.
- Architect and support the deployment ofgenerative AIapplications, such as AI-driven content generation, scenario simulations, and natural language processing for intelligence operations.
- Utilizedata fabric and data mesharchitectures to ensure seamless integration, access, and governance of distributed datasets across the DoD’s digital infrastructure.
- Ensure compliance with DoD security and operational requirements for AI systems, includingcybersecurity, reliability, and performancein mission-critical environments.
- Partner with stakeholders to align AI initiatives with broader strategic objectives of the DoD, focusing on long-term scalability and operational impact.
What you will need to succeed:
Education:BS in Computer Science, Data Science, Data Analytics, or other STEM-related discipline. An MS in one of the described disciplines counts toward four years of experience.
Required Skills and Experience:
- 5+ yearsof experience in AI/ML solution architecture/Development, with at least5 yearsin a leadership role, preferably within theDepartment of Defenseordefense industry.
- Robust background in bothcloud-native AI/ML servicesandDoD-specific cloud environments, with strong emphasis onsecurity,hybrid edge-cloud deployments,multi-cloud AI/ML strategies.
- Deep expertise inedge AI, including designing, deploying, and optimizing models for real-time inference on edge devices in constrained environments.
- Strong background insensor fusion and correlationtechniques, integrating multi-source data to generate actionable intelligence and situational awareness.
- Proven ability to design and leadMVP developmentprocesses for AI systems, demonstrating rapid prototyping and iteration to address specific mission needs.
- Experience withGenerative AItechnologies, such as large language models, AI simulations, and advanced content generation tools relevant to defense use cases.
- Strong understanding ofdata fabric and data meshprinciples, particularly in designing scalable, secure, and agile data architectures within DoD systems.
- Familiarity withDoD cybersecurity protocolsand compliance standards (e.g.,NIST 800-53, RMF,MITREetc.).
- Proficient in AI/ML tools, frameworks, and programming languages (e.g.,Python, TensorFlow, PyTorch, Keras, ONNX).
- Proven track record of successful collaboration withcross-functional teamsandstakeholdersin high-pressure, mission-focused environments.
- Must be a US Citizen
- Must be able to obtain/maintain a Secret security clearance
Desired Skills:
- Knowledge ofDoD acquisition processesand the ability to navigate complex regulatory frameworks.
- Experience working on a capture team developing Defense proposals.
- Experience withGenerative AIapplications in defense scenarios, such as AI-driven simulations, content generation for training, and intelligence analysis.
- Familiarity withcloud-based AI/ML architectures, including experience with hybrid cloud and edge deployments.
- Experience inMLOpsand the lifecycle management of AI systems in production environments, with an emphasis onmodel governanceandcontinuous integration/continuous deployment (CI/CD).
- Strong communication and leadership skills, with the ability to explain technical concepts to non-technical stakeholders and drive alignment across teams.