Blackstone Credit & Insurance - AI Engineer, Principal
About The Position
Blackstone Credit & Insurance (“BXCI”) is one of the world’s leading credit investors. Our investments span the credit markets, including private investment grade, asset-based lending, public investment grade and high yield, sustainable resources, infrastructure debt, collateralized loan obligations, direct lending and opportunistic credit. We seek to generate attractive risk-adjusted returns for institutional and individual investors by offering companies capital needed to strengthen and grow their businesses. BXCI is also a leading provider of investment management services for insurers, helping those companies better deliver for policyholders through our world-class capabilities in investment grade private credit. Team Overview: Blackstone Credit & Insurance AI (“BXCI AI”) identifies and responds to AI-driven disruption risk across the BXCI portfolio. We work directly with portfolio company leadership to assess competitive exposure, identify defensible assets, and develop strategies that reposition businesses for long-term viability. Engagements may involve business model transitions, competitive repositioning, revenue model changes, partnerships, acquisitions, and new channels designed to serve AI agents as customers.
Requirements
- 5+ years building AI/ML systems in production environments
- Fluency in foundation models, agent frameworks, RAG architectures, vector databases, and evaluation frameworks
- Strong Python engineering skills; experience building APIs and AI-powered applications
- Experience shipping AI-enabled products or features to real users
- Familiarity with cloud infrastructure and production deployment (AWS, GCP, or Azure)
- Proficiency in rapidly assessing unfamiliar technical systems and form defensible architectural views
- Strong written and verbal communication for senior audiences
Nice To Haves
- Experience with Model Context Protocol (MCP) or agent-facing API design
- Familiarity with SaaS or enterprise software businesses
- Prior experience in consulting, investing, or technical diligence
- Exposure to private equity, credit, or portfolio operations environments
- No prior financial services experience required.
Responsibilities
- Assess portfolio companies’ technical reality (architecture, data assets, infrastructure, talent), translate findings into strategic insight, contribute to internal memos, and build rapid prototypes to validate proposed strategic moves.
- Build and maintain internal tools that make the team more effective: research automation, assessment templates, tracking systems, and reusable components that accelerate work across the portfolio.
- Lead technical diligence on implementation partners, monitor their delivery during active engagements, and participate in working sessions with portfolio company teams alongside the AI Executive.
Benefits
- Comprehensive health benefits, including but not limited to medical, dental, vision, and FSA benefits
- Paid time off
- Life insurance
- 401(k) plan
- Discretionary bonuses
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed
