Jobs at GE Aerospace

Manage a portfolio of government and commercial contracts from solicitation and proposal development through execution, modifications, dispute resolution, and closeout. Assess contractual risks, support negotiations and audits, administer FAR, DFARS, and commercial terms, maintain customer relationships, and collaborate with program, engineering, finance, supply chain, legal, and compliance teams. The role supports defense and aerospace programs and requires periodic travel and authorization to access U.S. export-controlled information.

Lead private markets investing for a $45 billion insurance portfolio across primary funds, co-investments, secondaries, private equity, credit, real estate, and infrastructure. Responsibilities include originating and executing investments, portfolio construction, capital-efficient insurance structuring, GP relationship development, valuations, portfolio monitoring, secondary decisions, and investment team leadership.

Designs and leads AWS-native data foundations for enterprise AI applications, including knowledge graphs, ontologies, semantic layers, vector indexes, retrieval systems, and LLM grounding datasets. Builds Python and SQL pipelines using AWS services, establishes data models and governance standards, integrates identity-based access controls, and monitors data and retrieval quality. The role also mentors engineers and citizen developers, sets technical direction, and communicates with cross-functional stakeholders.

Lead discovery and modernization of expert-driven manual processes using LLMs, AI agents, and automation. Embed with domain experts to extract tacit knowledge, produce formal process models, design multi-step agent workflows with HITL escalation, replace legacy tools, and build evaluation and audit frameworks to ensure safe, verifiable production deployment.

Lead and grow an offensive security team delivering web application pentests, Defense-in-Depth assessments, and Red Team operations. Drive an automation-first, AI-enabled program, own tooling and vendor contracts, define methodologies and KPIs, coordinate with detection/IR and product teams, and ensure prioritized remediation and continuous validation across IT, cloud, OT, and AI/ML environments.