Chief/ Senior Systems Engineer – AI Integration

BLACKROCK STRATEGY INC•Washington, DC

1d•Hybrid

About The Position

Most AI roles focus on building models. This one defines how AI actually gets deployed into mission systems. Blackrock Strategy, Inc. is seeking a Chief Engineer–level/ Senior Systems Engineer to lead the design, integration, and alignment of AI-enabled capabilities across a complex, multi-organization environment. You will interface directly with leading research and engineering organizations, including MIT Lincoln Laboratory and Johns Hopkins Applied Physics Laboratory, as well as government leadership and mission partners. This role sits at the intersection of AI-driven software development and Model-Based Systems Engineering (MBSE), where architecture decisions, system behaviors, and integration strategies must align across organizations and directly impact mission outcomes. This position is ideal for someone already operating at a high level who is ready to step into true technical authority.

Requirements

Experience in systems engineering within DoW, Intelligence Community, or advanced R&D environments
Background working with or integrating AI/ML-enabled systems or AI-driven software capabilities
Hands-on experience with Model-Based Systems Engineering (MBSE), including tools such as SysML, Cameo, MagicDraw, or similar
Ability to operate across multiple organizations and stakeholders, aligning technical direction in complex environments
Strong communication skills, including the ability to translate complex technical concepts into clear, actionable insight for senior leadership
Experience defining and managing system requirements, interfaces, and integration strategies
Active TS clearance with SCI eligibility

Nice To Haves

Experience supporting advanced research and engineering (R&E) or emerging technology initiatives
Familiarity with autonomous systems, decision support systems, or advanced analytics platforms
Experience with system-of-systems architecture and integration
Prior collaboration with organizations such as MIT Lincoln Laboratory or Johns Hopkins Applied Physics Laboratory
Experience with requirements management tools such as DOORS or similar

Responsibilities

Lead system architecture for AI/ML-enabled mission systems, ensuring solutions are scalable, integrated, and aligned to mission objectives
Establish and drive technical direction across a complex, multi-organization environment, aligning government, research, and engineering stakeholders
Define, decompose, and manage system requirements using MBSE methodologies, ensuring traceability from concept through implementation
Develop and evolve system models (SysML, Cameo, MagicDraw, or similar) to represent architecture, interfaces, and system behavior
Define system interfaces, data flows, and integration strategies across system-of-systems environments
Identify and mitigate technical risks early, shaping architecture decisions to prevent downstream integration challenges
Translate complex technical concepts into clear, actionable guidance for senior leadership and mission partners
Coordinate across external research and engineering organizations, including partners such as MIT Lincoln Laboratory and Johns Hopkins Applied Physics Laboratory
Support verification, validation, and rapid prototyping efforts, ensuring systems perform as intended in real-world environments
Ensure alignment across system-of-systems architecture, maintaining cohesion between technical execution and mission objectives