AI/ML Engineer

As an AI/ML Engineer at CACI, you will lead the end-to-end lifecycle of ML models on Google Cloud, building robust MLOps that turn prototypes into production-ready systems. You’ll advance Agentic AI and LLM capabilities across defense disciplines, collaborating with mission owners and HTAP engineers to solve high-impact problems. The role combines hands-on model development with secure, low-latency deployment and governance in a demanding defense context. This is a mission-focused opportunity to shape advanced AI capabilities for national security.

• relocation to Stuttgart, Germany
• dependent education support
• LQA - Living Quarters Allowance
• flexible time off
• robust learning resources
• comprehensive benefits package (healthcare, retirement, education)

• Architect, build, and deploy ML and Generative AI models using Kubernetes, Vertex AI, and TPUs
• Design retrieval-augmented generation (RAG) frameworks and multi-agent workflows; fine-tune LLMs
• Transition prototypes from notebooks to scalable, secure production environments
• Deploy model endpoints with robust security, error handling, retries, and fallbacks
• Establish CI/CD pipelines for real-time inference and seamless model updates in cloud environments
• Implement evaluation frameworks and guardrails to mitigate errors, hallucinations, and biases
• Enforce model governance with versioning, auditability, and Explainable AI (XAI)
• Optimize infrastructure for HPC and Edge AI deployments
• Serve as technical advisor to HTAP stakeholders and coach teams on cloud ML integration

• US citizen with active TS/SCI clearance
• Bachelor's degree in a related field
• 8+ years in full-stack software development (Python or C++)
• 5+ years in ML engineering, model deployment, and ML infrastructure optimization
• Hands-on experience with GCP data/ML services (Vertex AI, BigQuery, Dataflow, Cloud Storage)
• 2+ years with Generative AI technologies (LLMs, RAG, embeddings, vector databases)
• 1+ years building/scaling Agentic workflows and prompt engineering
• Proficiency with PyTorch, TensorFlow, Keras, scikit-learn, Pandas, NumPy, OpenCV
• Experience with Git-based workflows and CI/CD
• DoD -M / DoD 8140 IAT Level II baseline (e.g., Security+, CISSP)
• Google Cloud Professional ML Engineer certification or equivalent
• Familiarity with containerization and orchestration (Docker, Kubernetes)

• cross-functional collaboration
• stakeholder communication
• problem solving
• Vertex AI, BigQuery, Dataflow, Cloud Storage
• Kubernetes, Docker, Podman, Rancher
• TPUs and HPC optimization