Lead AI/Data Engineer
Role details
Job location
Tech stack
Job description
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.
Key Responsibilities:
Data Architecture & Engineering:
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Design and maintain OTTI enterprise data architecture supporting:
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Operational mission data
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Test and telemetry data
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Training performance and readiness data
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Simulation/model outputs
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Sensor/platform data streams
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Architect scalable data lake/lakehouse, streaming, and analytics platforms.
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Establish data standards, schemas, metadata, lineage, and governance processes.
AI/ML Platform Engineering:
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Lead design and implementation of OTTI AI/ML infrastructure and MLOps pipelines.
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Enable model training, validation, deployment, monitoring, and lifecycle management.
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Support GPU/accelerated compute environments for AI/ML workloads.
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Implement repeatable AI/ML development and deployment patterns.
Synthetic Environment / Advanced Analytics Enablement:
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Integrate AI/ML capabilities into OTTI synthetic environments for:
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Threat/adversary behavior modeling
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Scenario generation and optimization
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Automated red/blue force behavior
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Synthetic battlespace enrichment
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Deliver advanced analytics supporting readiness scoring, trend analysis, anomaly detection, and predictive assessment.
Data Integration / Interoperability:
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Integrate data across OTTI systems including:
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Simulation and training platforms
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Digital engineering/model repositories
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Mission/operational systems
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External USSF/DoD data providers
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Ensure semantic interoperability and data normalization across sources.
Security / Governance / Compliance
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Ensure OTTI data and AI/ML platforms comply with:
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DoD Data Strategy principles
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RMF / Security controls
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Data governance and access controls
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Responsible AI / AI assurance requirements
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Implement secure data handling and AI model governance.
Technical Leadership:
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Serve as AI/Data SME to Government stakeholders, Chief Engineer, and Program Leadership.
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Mentor data engineers, data scientists, and ML engineers.
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Lead AI/data architecture reviews, technical planning, and roadmap development.
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Evaluate emerging AI/data technologies for mission applicability.
Requirements
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Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or related technical field (Master's preferred).
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10+ years of progressive data engineering / AI / analytics experience.
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5+ years leading enterprise data platform or AI/ML engineering teams.
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Demonstrated experience architecting large-scale data pipelines and analytics platforms.
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Experience implementing AI/ML pipelines and MLOps frameworks.
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Experience integrating multiple heterogeneous data sources into unified architectures.
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Experience supporting secure/classified/regulated data environments.
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Active Top Secret clearance with SCI eligibility
Desired Qualifications
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Experience supporting USSF, SSC, STARCOM, SpOC, or related DoD/IC organizations.
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Experience with operational test/training systems, synthetic environments, digital twins, or simulation ecosystems.
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Familiarity with:
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Data Lake / Lakehouse / Mesh Architectures
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Kafka / Spark / Databricks / Elastic / Snowflake / BigQuery
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Python / SQL / ETL / Streaming Frameworks
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AI/ML / Deep Learning / Generative AI / LLM Integration
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Vector Databases / Semantic Search / Knowledge Graphs
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GPU / Accelerated AI Compute Platforms
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MLOps / Kubeflow / MLflow / SageMaker / Vertex AI
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DoD Data Mesh / Authoritative Data Sources / Digital Thread
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Relevant certifications preferred:
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Cloud Data Engineer / AI Engineer Certifications
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Databricks / Snowflake / AWS ML / Azure AI Certifications
Key Success Attributes
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Strategic thinker with deep data and AI technical expertise
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Strong systems integration mindset across data-rich mission environments
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Ability to translate operational needs into scalable data/AI architectures
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Strong communication and customer-facing technical advisory skills
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Proven leadership in secure, mission-critical analytics environments, 10 + years of related experience
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may vary based on technical training, certification(s), or degree Certification
Benefits & conditions
- 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
Work Requirements
Years of Experience, The likely salary range for this position is $147,292 - $199,278. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.