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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Engineering Director, AI Software Engineering - Private Markets - **Company:** BlackRock, Inc. - **Location:** London, UK (Remote available) - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Spreadsheets, Cyber Security, Data Validation, Data Infrastructure, Graph Database, Information Extraction, Knowledge-Based Systems, Machine Learning, Regression Testing, Software Engineering, Data Processing, Data Management, Entity Resolution, Human in the Loop - **Published:** October 3, 2026 - **Apply:** https://dejobs.org/x/x/720E4EF4545548CEBA76A6A1D1637AE7/job/ ## About the Role * Extensive experience designing and delivering production AI and machine learning (ML) systems, with strong technical depth in foundation and multimodal models, retrieval, model adaptation, agentic architectures and rigorous evaluation of probabilistic systems. * Proven success working directly with users or customers to turn ambiguous problems into production AI products, with strong full-stack engineering judgment and an ability to convert domain solutions into reusable capabilities and make pragmatic build, buy, partner and reuse decisions. * Strong grounding in document intelligence, unstructured-data processing, entity resolution, semantic retrieval, knowledge graphs, provenance and data-quality engineering, including systems where domain experts provide ground truth and structured feedback. * Significant experience leading multidisciplinary engineering or applied-AI organizations, setting technical direction across teams, developing senior talent and influencing product strategy, investment priorities and operating models across organizational boundaries. * Strong understanding of private markets, alternative investments, financial data or adjacent institutional-investment workflows is highly desirable, with familiarity across investor, fund-manager, fund, company, deal or portfolio workflows advantageous. * Exceptional communication and sound judgment, with the ability to explain complex AI trade-offs to technical, business and executive audiences and a commitment to responsible AI, privacy, security, provenance, collaboration, customer value and accountable human decision-making. ## Description The Private Markets engineering team builds artificial intelligence (AI) capabilities that transform fragmented and unstructured information across documents, filings, websites, spreadsheets, contributed data and communications into structured, connected and decision-ready intelligence. Working alongside private-markets researchers, data specialists, product managers and business leaders, the team combines AI, domain expertise, strong data foundations and human judgment to create secure, scalable and trusted products. The team works across multimodal document understanding, model adaptation, agentic research, entity resolution, knowledge graphs, data validation and enrichment, human-in-the-loop research, AI-assisted outreach and full-stack applications. It also develops reusable engineering foundations that can support multiple private-markets workflows, including fundraising, due diligence, asset allocation, market analysis, portfolio monitoring and business development. Your role and impact As Engineering Director, you will lead a multidisciplinary, forward-deployed engineering organization spanning AI engineers, machine-learning researchers, forward-deployed engineers and full-stack product engineers. This is a player-coach leadership role combining technical direction, architecture, product strategy, direct engagement with users and organizational leadership. You will shape how AI is applied across private-markets research and data management, taking capabilities from problem discovery and applied research through evaluation, governance and production. You will make informed choices among model adaptation, fine-tuning, retrieval, deterministic services, agentic orchestration and conventional software engineering, while ensuring that solutions deliver measurable improvements in data quality, research speed, coverage, adoption, reliability and customer value., In every role at BlackRock, you'll be expected to apply sound judgement and critical thinking to solve complex problems, adapt as the business evolves, and combine the curiosity to explore new approaches and technologies with the rigor to challenge the results. The scope of this role also includes the following responsibilities: * Define and own the AI engineering strategy and roadmap for private-markets data, research, quality and workflow applications, making clear architecture and investment choices across model adaptation, retrieval, agentic orchestration and conventional software engineering. * Build and lead forward-deployed engineering teams that work directly with researchers, data specialists and product teams, taking high-value problems from discovery through governed production while converting reusable patterns into shared capabilities. * Direct applied AI research and model improvement across adaptation, fine-tuning, multimodal reasoning, retrieval and knowledge systems, using transparent trade-offs and structured human feedback to improve measurable product outcomes. * Lead end-to-end agentic and full-stack AI products that integrate models, orchestration, data, application programming interfaces (APIs) and intuitive user experiences, with defined authority boundaries, meaningful human control and appropriate escalation. * Establish evaluation and trust as core engineering disciplines through representative datasets, regression testing, explicit quality standards, provenance, observability and auditable controls designed with risk, privacy, information security, legal and compliance partners. * Own production outcomes across architecture, delivery, reliability and adoption, connecting technical measures to customer and business outcomes and maintaining rigorous standards for testing, security, observability and operational ownership. * Build an inclusive, high-performing engineering organization by recruiting and developing technical talent, creating durable teams and leaders, scaling expertise through reusable standards and representing the function credibly with senior leaders, clients and technical communities. ## Related Videos - [Launching a marketplace on-time: A lesson in taking shortcuts using spreadsheets!](https://www.wearedevelopers.com/videos/477-launching-a-marketplace-on-time-a-lesson-in-taking-shortcuts-using-spreadsheets) - [Thinking Differently - How to Make Money from Cyber Attacks & Cheats](https://www.wearedevelopers.com/videos/745-thinking-differently-how-to-make-money-from-cyber-attacks-cheats) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [The New Org Chart: When AI Joins the Workforce](https://www.wearedevelopers.com/videos/100036-the-new-org-chart-when-ai-joins-the-workforce) - [From Global Capability Centers to AI-Powered Command Centers](https://www.wearedevelopers.com/videos/100096-from-global-capability-centers-to-ai-powered-command-centers) - [AI in High-Stakes Industries: Lessons Learned](https://www.wearedevelopers.com/videos/100253-ai-in-high-stakes-industries-lessons-learned) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [ I Gave a Video Editor More Autonomy Than a Trading Bot. On Purpose.](https://www.wearedevelopers.com/magazine/773-i-gave-a-video-editor-more-autonomy-than-a-trading-bot-on-purpose) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)