AI ML Architect onsite in BoulderAI ML Architect onsite in Boulder

AI/ML Platform Architect Location: Central Boulder, CO | Workplace: 100% Onsite Salary: $150,000 – $175,000 Architect the future of intelligence in space—and define the core AI strategy and MLOps infrastructure for a highly profitable, self-funded 40-person aerospace engineering firm supporting mission-critical civil, commercial, and government space applications. Our client is a highly specialized aerospace technology company that has built a reputation for excellence in live satellite operations. As they enter an era of automated satellite operations, they are seeking an elite, hands-on technical leader to design their enterprise AI footprint from the ground up, out-pacing legacy aerospace competitors. The Opportunity As the AI/ML Platform Architect, you will sit at the crossroads of cutting-edge deep learning innovation, infrastructure engineering, and real-time operational systems. This is a high-visibility, foundational leadership role where you will establish engineering best practices for MLOps, design end-to-end data ingestion pipelines, and build the compute frameworks required to run optimized machine learning models in production. You are stepping into a greenfield environment where the core software squads are eager to deploy advanced analytics, predictive modeling, and intelligent agentic workflows into production. What You’ll Do  Lead the design, definition, and governance of the enterprise AI/ML platform, establishing reusable patterns, architectural standards, and operational guardrails.  Architect and build end-to-end MLOps solutions, including data processing pipelines, model training environments, and ultra-low-latency deployment and inference serving architectures.  Deliver proofs-of-concept and platform modernization initiatives, serving as the resident expert on efficient deep learning infrastructure.  Drive the exploration and development of intelligent automation, workflow integrations, and advanced deep learning capabilities for predictive telemetry analysis.  Collaborate closely with cross-functional software, data engineering, and mission operations teams to align AI initiatives with active satellite tracking systems.  Establish metrics, observability, and continuous delivery models for lifecycle tracking and automated recovery of production models. What You Bring  Academic Pedigree: Master’s degree or PhD in Computer Science, Mathematics, Physics, Electrical Engineering, or a highly related technical discipline.  Deep Learning Depth: Strong hands-on proficiency with PyTorch, TensorFlow, or custom CUDA-accelerated machine learning environments, with an understanding of efficient deep learning or model optimization mechanisms.  Cloud Infrastructure Mastery: Minimum of 5 years of experience deploying scalable distributed systems on AWS, with technical depth in networking, security best practices, and container orchestration (ECS/EKS).  MLOps Core Focus: Demonstrated experience building pipelines for model registration, deployment, automation, and continuous validation.  Clearance Eligibility: U.S. citizenship is required, along with the ability to obtain and maintain a U.S. Government security clearance over time. What Is Offered  Competitive base salary of $150,000 – $175,000 per year.  Predictable 40-hour standard work weeks with a stable, high-performing peer group.  Comprehensive benefits: 3 weeks of standard PTO plus 10 paid government holidays (5 weeks total paid leave).  Complete medical, dental, and vision packages.  401(k) retirement plan with a 3% company match.  Full relocation expense coverage with reasonable caps for out-of-state moves.