AI ML Architect onsite in Boulder

Technical Integrity, LLC; Boulder (CO); On-site; USD 150,000 - 175,000; Full time

Benefits offered by this job

Relocation assistance

Comprehensive benefits

PTO & holidays

Medical/Dental/Vision

401(k) match

Relocation expense coverage

Job summary

Technical Integrity, LLC seeks an AI/ML Platform Architect to design an enterprise AI footprint for space-focused applications from a greenfield baseline. You will govern platform decisions, build end-to-end MLOps, and enable real-time inference alongside mission-critical data pipelines.

You will partner with software, data engineering, and operations teams to deploy scalable, low-latency ML systems in AWS, mentoring engineers and driving standards, observability, and secure, compliant AI

Qualifications

• Advanced technical degree with ML/platform focus and strong research background.
• Hands-on experience designing scalable ML platforms and MLOps pipelines.
• Experience deploying distributed systems in cloud environments (AWS).
• Ability to define governance and security for AI/ML workloads.

Responsibilities

• Lead design and governance of the enterprise AI/ML platform.
• Architect end-to-end MLOps pipelines and deployment tooling.
• Build low-latency inference serving and training environments.
• Deliver proofs-of-concept and platform modernization initiatives.
• Collaborate with software, data engineering, and mission operations teams.
• Define metrics, observability, and continuous delivery for models.

Skills

PyTorch

TensorFlow

CUDA

AWS

MLOps

Distributed systems

Education

Master's degree in CS/Math/Physics/EE

PhD in a related field

Tools

ECS/EKS

Container orchestration

Job description

Location: Central Boulder, CO | Workplace: 100% Onsite

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
• Deliver proofs-of-concept and platform modernization initiatives, serving as the resident
• 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.