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.

TheLead AI/Data Engineer for USSF OTTIserves as the senior technical authority responsible for the architecture, engineering, integration, and governance of OTTIs 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 OTTIs distributed digital test and training architecture.

Key Responsibilities:

Data Architecture & Engineering:

• Design andmaintainOTTI 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.

AI/ML Platform Engineering:

• Lead design and implementation of OTTI AI/ML infrastructure andMLOpspipelines.

• 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.

Synthetic Environment / Advanced Analytics Enablement:

• 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.

Data Integration / Interoperability:

• Integrate data across OTTI systems including:

• Simulation and training platforms

• Digital engineering/model repositories

• Mission/operational systems

• External USSF/DoW data providers

• Ensure semantic interoperability and data normalization across sources.

Security / Governance / Compliance

• Ensure OTTI data and AI/ML platformscomply with:

• DoW Data Strategy principles

• RMF / Security controls

• Data governance and access controls

• Responsible AI / AI assurance requirements

• Implement secure data handling and AI model governance.

Technical Leadership:

• 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.

Required Qualifications:

• Bachelors degree in Computer Science, Data Science, Engineering, Mathematics, or related technical field (Masterspreferred).

• 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 andMLOpsframeworks.

• Experience integrating multiple heterogeneous data sources into unified architectures.

• Experience supporting secure/classified/regulated data environments.

• ActiveTop Secretclearance with SCI eligibility

Desired Qualifications

• Experience supportingUSSF, SSC, STARCOM,SpOC, or related DoW/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

• DoW Data Mesh / Authoritative Data Sources / Digital Thread

• Relevant certifications preferred:

• Cloud Data Engineer / AI Engineer Certifications

• Databricks / Snowflake / AWS ML / Azure AI Certifications

Key Success Attributes

• Strategic thinker with deep data and AI technicalexpertise

• Strong systems integration mindset across data-rich mission environments

• Ability to translate operational needs into scalable data/AI architectures

• Strong communicationand customer-facing technical advisory skills

• Proven leadership in secure, mission-critical analytics environments

WHAT CAN GDIT OFFER YOU?

• 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