USSF OTTI Lead AI/Data Engineer
About The Position
Join General Dynamics IT and be a part of a team that solve some of the world's most complex technical challenges. We are seeking a Lead AI/Data Engineer to build infrastructure for the USSF Operational Test and Training Infrastructure (OTTI) -in Colorado Springs, CO. This is a proposal position and considered a Key Personnel (KP). Award is expected in September 2026. The Lead AI/Data Engineer for USSF OTTI serves as the senior technical authority responsible for the architecture, engineering, integration, and governance of OTTI’s enterprise data and AI/ML ecosystem. This role leads the design and implementation of scalable data platforms, AI/ML pipelines, and analytics services that enable synthetic environment realism, automated readiness assessment, digital engineering integration, and data-driven decision support across the U.S. Space Force Operational Test and Training Infrastructure. The Lead AI/Data Engineer partners with the Chief Engineer and technical leadership to deliver secure, interoperable, and mission-aligned data and AI capabilities supporting OTTI’s distributed digital test and training architecture.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or related technical field (Master’s preferred).
- 10+ years of progressive data engineering / AI / analytics experience.
- 5+ years leading enterprise data platform or AI/ML engineering teams.
- Demonstrated experience architecting large-scale data pipelines and analytics platforms.
- Experience implementing AI/ML pipelines and MLOps frameworks.
- Experience integrating multiple heterogeneous data sources into unified architectures.
- Experience supporting secure/classified/regulated data environments.
- Active Top Secret clearance with SCI eligibility
Nice To Haves
- Experience supporting USSF, SSC, STARCOM, SpOC, or related DoD/IC organizations.
- Experience with operational test/training systems, synthetic environments, digital twins, or simulation ecosystems.
- Familiarity with: Data Lake / Lakehouse / Mesh Architectures, Kafka / Spark / Databricks / Elastic / Snowflake / BigQuery, Python / SQL / ETL / Streaming Frameworks, AI/ML / Deep Learning / Generative AI / LLM Integration, Vector Databases / Semantic Search / Knowledge Graphs, GPU / Accelerated AI Compute Platforms, MLOps / Kubeflow / MLflow / SageMaker / Vertex AI, DoD Data Mesh / Authoritative Data Sources / Digital Thread.
- Relevant certifications preferred: Cloud Data Engineer / AI Engineer Certifications, Databricks / Snowflake / AWS ML / Azure AI Certifications.
Responsibilities
- Design and maintain OTTI enterprise data architecture supporting: Operational mission data, Test and telemetry data, Training performance and readiness data, Simulation/model outputs, Sensor/platform data streams.
- Architect scalable data lake/lakehouse, streaming, and analytics platforms.
- Establish data standards, schemas, metadata, lineage, and governance processes.
- Lead design and implementation of OTTI AI/ML infrastructure and MLOps pipelines.
- Enable model training, validation, deployment, monitoring, and lifecycle management.
- Support GPU/accelerated compute environments for AI/ML workloads.
- Implement repeatable AI/ML development and deployment patterns.
- Integrate AI/ML capabilities into OTTI synthetic environments for: Threat/adversary behavior modeling, Scenario generation and optimization, Automated red/blue force behavior, Synthetic battlespace enrichment.
- Deliver advanced analytics supporting readiness scoring, trend analysis, anomaly detection, and predictive assessment.
- Integrate data across OTTI systems including: Simulation and training platforms, Digital engineering/model repositories, Mission/operational systems, External USSF/DoD data providers.
- Ensure semantic interoperability and data normalization across sources.
- Ensure OTTI data and AI/ML platforms comply with: DoD Data Strategy principles, RMF / Security controls, Data governance and access controls, Responsible AI / AI assurance requirements.
- Implement secure data handling and AI model governance.
- Serve as AI/Data SME to Government stakeholders, Chief Engineer, and Program Leadership.
- Mentor data engineers, data scientists, and ML engineers.
- Lead AI/data architecture reviews, technical planning, and roadmap development.
- Evaluate emerging AI/data technologies for mission applicability.
Benefits
- Excellent customizable health benefits (Medical, Dental and Vision)
- 401K with company match
- Educational Assistance and eLearning
- Flexible work week
- Internal mobility team dedicated to employee advancement
- Rewards and Recognition programs
- Innovative and collaborative environment encouraging of highly motivated critical thinking
- variety of medical plan options, some with Health Savings Accounts
- dental plan options
- a vision plan
- a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match.
- full flex work weeks where possible
- a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave.
- short and long-term disability benefits
- life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
