AI ML Architect onsite in Boulder

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 MLOpsinfrastructure for a highly profitable, self-funded 40-person aerospace engineering firmsupporting mission-critical civil, commercial, and government space applications. Our client is a highly specialized aerospace technology company that has built a reputation forexcellence 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 aerospacecompetitors.

The Opportunity: As the AI/ML Platform Architect, you will sit at the crossroads of cutting-edge deep learninginnovation, 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 runoptimized machine learning models in production. You are stepping into a greenfield environment where the core software squads are eager todeploy advanced analytics, predictive modeling, and intelligent agentic workflows intoproduction. 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 servingarchitectures. Deliver proofs-of-concept and platform modernization initiatives, serving as the residentexpert 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 missionoperations teams to align AI initiatives with active satellite tracking systems. Establish metrics, observability, and continuous delivery models for lifecycle tracking andautomated 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 customCUDA-accelerated machine learning environments, with an understanding of efficientdeep learning or model optimization mechanisms. Cloud Infrastructure Mastery: Minimum of 5 years of experience deploying scalabledistributed 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 andmaintain 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 (5weeks 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.