AI Solutions Architect / Program Manager, Cross-Domain

Position Overview

We are seeking an AI Solutions Architect / Program Manager to serve as a senior technical and organizational leader within a rapidly scaling AI and autonomy organization. This hybrid role blends AI/ML systems architecture expertise with technical program management, ensuring complex AI initiatives are delivered as an integrated, coherent platform rather than isolated solutions.

In this role, you will define end‑to‑end AI system architectures across multiple domains, design scalable machine learning pipelines for image‑ and video‑based workloads and manage cross‑functional programs to deliver results on schedule, within scope, and aligned to strategic priorities.

Key Responsibilities

• Define and maintain end‑to‑end AI system architectures, ensuring shared data models, integration standards, and API patterns across workstreams
• Architect scalable ML training pipelines for image‑ and video‑based models, including data ingestion, annotation workflows, distributed training, validation, and deployment
• Design infrastructure architectures to support large‑scale video ML workloads, including data storage, preprocessing pipelines, and GPU‑based training environments
• Define and oversee MLOps practices across model lifecycles, including experiment tracking, model versioning, automated retraining, deployment strategies, and performance monitoring
• Manage the master program schedule across multiple teams, tracking milestones, dependencies, risks, and delivery timelines
• Lead technical reviews and make informed build‑vs‑buy decisions for AI platforms, tooling, and infrastructure
• Coordinate integration points to ensure alignment across teams and avoid duplication of effort
• Track deliverables against defined milestones and provide regular, executive‑level progress reporting
• Manage budget tracking, resource planning, and procurement activities related to AI infrastructure and tooling
• Define and document data flow architectures and interface contracts between systems and teams
• Facilitate cross‑functional collaboration with engineering, operations, manufacturing, and product stakeholders
• Lead planning cycles, sprint ceremonies, and retrospectives in a research‑to‑production environment
• Evaluate emerging AI technologies and recommend adoption strategies aligned to organizational goals

Qualifications

Education

• Bachelor’s degree in Computer Science, Engineering, Systems Engineering, or a related field
• Master’s degree or equivalent advanced experience preferred

Experience

• A minimum of 8 years of combined experience in AI/ML solutions architecture and technical program management
• At least 3 years of hands‑on experience in each discipline

Preferred Qualifications

• Experience architecting ML pipelines for video understanding, computer vision, or multimodal AI systems
• Background delivering AI initiatives from research through production deployment
• Experience supporting complex, multi‑team or multi‑site technical programs
• Familiarity with scaled agile frameworks and enterprise delivery models
• Exposure to regulated, safety‑critical, or defense‑adjacent environments
• Relevant certifications (e.g., PMP, PMI‑ACP, TOGAF, or equivalent)

Soft Skills

• Strong interpersonal and collaboration skills across technical and non‑technical teams
• Proven ability to communicate complex technical concepts to executive stakeholders
• Excellent written and verbal communication skills
• Strong organizational skil