Director, AI Systems and Delivery (Deputy Lead, AI Integration)

The Aerospace Corporation•El Segundo, CA

6d•Onsite

About The Position

The Aerospace Corporation is the trusted partner to the nation’s space programs, solving the hardest problems and providing unmatched technical expertise. As the operator of a federally funded research and development center (FFRDC), we are broadly engaged across all aspects of space— delivering innovative solutions that span satellite, launch, ground, and cyber systems for defense, civil and commercial customers. When you join our team, you’ll be part of a special collection of problem solvers, thought leaders, and innovators. Join us and take your place in space. The Digital Innovation Division (DID) is accountable for generating and executing integrated strategies, providing governance, and managing internal investments that form the foundation of Aerospace’s digital transformation. The Digital Innovation Division is seeking a Department director to lead the AI Systems and Delivery organization and to serve as deputy lead for AI Integration, reporting to the corporation’s Corporate Technical Fellow for Artificial Intelligence. As the corporate AI portfolio scales from a single flagship platform to a multi-investment enterprise capability, this role owns the organization that delivers it: the people, the architecture standards, the release decisions, and the cost and schedule performance of the portfolio’s engineering investments. This is a management position and the deputy leadership position for AI Integration. You will supervise the Lead of AI Operations and a growing team of AI engineering and integration staff, and you will hold delegated decision authority over architecture standards, evaluation and release, investment execution, and internal personnel matters. The Corporate Technical Fellow sets corporate AI strategy, owns the external technical voice of the corporation, and originates the vision; you refine that vision into executable direction, own the organization that delivers it, and are accountable for it in front of division and corporate leadership.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Data Science, Statistics, Information Systems, Operations , STEM or a related technical field, or equivalent work experience.
10 years of progressive experience in AI/ML engineering, AI systems architecture, digital transformation, or enterprise technical delivery, including significant experience delivering platforms in regulated or accredited environments.
4+ years in a people-management role, including direct supervision of technical staff, and full employee performance management.
Demonstrated accountability for a technical portfolio at multi-million dollar scale, including setting priorities across competing demands and defending a plan to executive leadership, working through portfolio management and program management staff.
Working depth in AI/ML platform and orchestration concepts sufficient to set standards and arbitrate architecture decisions, including MLOps practice, model and agent lifecycle management, data pipelines, and containerized deployment (for example Kubernetes, Airflow, Kafka, Spark).
Strong understanding of cloud data and AI platforms (Azure, AWS, GCP), with practical familiarity in the Azure data and AI ecosystem.
Proven experience delivering capability on accredited networks at more than one classification level.
Exceptional written and verbal communication, including the ability to take a broadly stated strategic intent and render it as direction a team and a stakeholder can act on.
Willing to travel approximately 25% of the time to support customer meeting and technical collaboration.
This position requires ability to obtain and maintain a security clearance, which is issued by the U.S. government.
U.S. citizenship is required to obtain a security clearance.

Nice To Haves

Advanced degree in a STEM or other technical discipline.
15+ years in AI engineering, applied AI/ML, AI architecture, or data operations, with 5+ years managing technical teams and managing managers or leads.
Direct mission experience in the national space domain, missile defense, or remote sensing.
Experience standing up an AI evaluation or assurance function, including documented release criteria and a defensible record of capability declined or withdrawn.
Experience extending an enterprise AI platform onto an accredited classified network.
Experience building a technical organization from a small team through sustained headcount growth, including developing first-line leads.
Experience serving as a deputy or chief of staff to a senior technical executive, carrying delegated authority in their absence.
Experience launching new programs or capability areas before requirements, funding, or customer scope were fully defined.
Current DoD TS and SSBI/SCI clearance.

Responsibilities

Serve as deputy to the Corporate Technical Fellow for Artificial Intelligence for the AI Integration organization, carrying delegated decision authority for the organization and representing it when the Fellow is not present.
Own the operating cadence for the corporate AI portfolio: intake, prioritization, milestone review, and the governance and funding decisions that follow, with program management review preparation and status reporting produced by portfolio management staff.
Set the technical baseline for AI systems delivery and ensure it is documented, current, and enforced rather than implied.
Own the evaluation and release gate for AI capability reaching mission and enterprise use, including model and agent assurance, red-teaming, and the documented decision on what does not ship.
Stand up new AI initiatives in their earliest and least defined phase, carrying them from a stated intent through scope, requirements, and a funded plan, then transitioning them to a steady-state owner.
Direct the extension and sustainment of AI capability across multiple classification levels, including accredited classified networks, and own the delivery plan for cross-domain AI work.
Operationalize the standards set by the Generative AI Council into repeatable, auditable release criteria, and report evaluation outcomes to governance bodies.

Benefits

Comprehensive health care and wellness plans
Paid holidays, sick time, and vacation
Standard and alternate work schedules, including telework options
401(k) Plan — Employees receive a total company-paid benefit of 8%, 10%, or 12% of eligible compensation based on years of service and matching contributions; employees are immediately eligible and vested in the plan upon hire
Flexible spending accounts
Variable pay program for exceptional contributions
Relocation assistance
Professional growth and development programs to help advance your career
Education assistance programs
An inclusive work environment built on teamwork, flexibility, and respect