Agentic AI Solutions Engineer

Location: Conshohocken

Join Hamilton Lane, a global leader in private markets, as we scale to meet the demands of our growing client base. Here, you'll work with ambitious, high‑performing teams built on integrity, candor and collaboration, backed by our market-leading data and technology. We invest heavily in our people and our partners, giving you the platform to enrich lives, safeguard futures and grow your career.

What We Do

As one of the largest private markets investment firms globally, we provide innovative solutions to institutional and private wealth investors around the world, specializing in flexibility and full-spectrum access. We currently employ approximately 800 professionals operating in offices throughout North America, Europe, Asia Pacific and the Middle East, and have $1.0 trillion in assets under management and supervision, composed of $146.1 billion in discretionary assets and $871.5 billion in non-discretionary assets, as of December 31, 2025.

What we do:

As a recognized leader in providing Private Markets Solutions to clients across the globe, we manage approximately $145.6B in discretionary assets under management and $859.8B in non-discretionary assets under management, as of September 30, 2025.

The Opportunity:

Hamilton Lane is a leading, data-driven private markets investment manager that leverages technology to help our clients access and navigate the private markets. We are investing aggressively in agentic AI solutions that help investors and business partners discover insights, automate workflows, and interact with our data and processes in more natural, intelligent ways.

We are seeking an Agentic AI Solutions Engineer who will sit at the intersection of business teams, investment professionals, and technology, and who will be responsible for designing, implementing, and scaling AI agents and AI-powered workflows across the firm.

This is a highly visible, hands-on role for someone who understands private markets and can translate that understanding into practical AI solutions that deliver measurable business value.

Your responsibilities will be to:

Agentic AI Strategy & Solution Design

* Partner with investment, client solutions, operations, legal/compliance, finance, and technology teams to identify, prioritize, and design agentic AI use cases across the private markets value chain (e.g., fundraising, due diligence, portfolio monitoring, reporting, legal review, operations).

* Architect agentic AI workflows (e.g., RAG, tool calling, multi-step agents, task orchestration) that safely interact with Hamilton Lane's data, systems, and processes.

* Select and configure the right combination of internal agents and vendor solutions to solve specific business problems.

* Define clear problem statements, success metrics, and guardrails for each solution, ensuring alignment with data governance, security, and compliance standards.

Cross-Functional Implementation & Change Management

* Work end-to-end from idea to production: discovery, solution design, pilot, rollout, and continuous improvement.

* Embed AI agents into day-to-day workflows (e.g., research, deal execution, investor communications, compliance reviews, finance operations) so that business users see tangible time savings and risk reduction.

* Lead process mapping sessions to understand current-state workflows and redesign them with AI in mind.

Product Ownership & Project Delivery

* Serve as product owner for internal agentic AI solutions, partnering with business users on the vision, roadmap, and backlog of enhancements and new use cases.

* Translate business needs into user stories, acceptance criteria, and release plans using tools such as  (or similar).

* Coordinate with Enterprise Technology, Data Engineering, Info Sec, and vendor partners to ensure on-time, high-quality delivery.

* Establish and run lightweight governance around AI initiatives (prioritization forums, stakeholder updates, risk reviews).

Measurement, ROI & Continuous Improvement

* Define and track KPIs and ROI for AI initiatives (e.g., hours saved, cycle-time reduction, error rate reduction, revenue uplift, user adoption and satisfaction).

* Design experiments and A/B tests to…