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AI Solutions Architect / Program Manager, Cross-DomainAST SpaceMobileUnited States
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AI Solutions Architect / Program Manager, Cross-Domain

AST SpaceMobile
  • US
    United States
  • US
    United States

À propos

AST SpaceMobile is building the first and only global cellular broadband network in space to operate directly with standard, unmodified mobile devices based on our extensive IP and patent portfolio and designed for both commercial and government applications. Our engineers and space scientists are on a mission to eliminate the connectivity gaps faced by today’s five billion mobile subscribers and finally bring broadband to the billions who remain unconnected.
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 skills with meticulous attention to detail
Ability to balance strategic architecture thinking with practical execution
Comfort operating in fast‑paced, ambiguous environments
Technology Stack
AI/ML frameworks and tooling (e.g., ML training, experiment tracking, model deployment)
Distributed training and GPU‑accelerated compute environments
Cloud and hybrid infrastructure (e.g., containerization, orchestration platforms)
Data pipelines and large‑scale storage systems
Program and project management tools supporting agile delivery
Physical Requirements
Ability to work in a standard office or remote environment
Ability to use a computer and related equipment for extended periods
Ability to participate in meetings, reviews, and collaborative sessions
This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands.
AST SpaceMobile is an Equal Opportunity, at will Employer; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
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  • United States

Compétences linguistiques

  • English
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