Agentic AI Solutions Engineer

Hamilton Lane • Conshohocken, PA

1d

About The Position

Hamilton Lane is looking to expand our team to satisfy the needs of our growing client base. Hamilton Lane is built on collaboration, teamwork and integrity. Our employees pursue excellence and always strive to do the right thing. We invest in our employees, clients and partner relationships, as well as, in the technology and resources necessary to remain competitive, working in a competitive environment that inspires innovation. 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.

Requirements

• 7+ years of professional experience in roles such as AI solutions engineer, product manager, consultant, or business/technology lead, with a strong track record of delivering technology or analytics solutions in complex environments.
• Deep familiarity with private markets / alternative investments (e.g., fund structures, portfolio monitoring, reporting, capital calls/distributions, legal documentation, investor communications).
• Experience at a GP, LP, service provider, or top-tier consulting firm working with private markets clients is strongly preferred.
• Hands-on experience with AI solutions in an enterprise context.
• Demonstrated ability to design and implement agentic AI workflows (e.g., multi-step agents, tool calling) that interact with enterprise data and systems.
• Proven experience working cross-functionally with business stakeholders, technology teams, and external vendors to deliver end-to-end solutions.
• Strong product ownership skills: backlog management, requirements definition, prioritization, and stakeholder alignment.
• Solid project management skills and experience using tools such as monday.com, Jira, or similar to coordinate work across multiple teams.
• Experience measuring and communicating AI/technology ROI, including both quantitative and qualitative benefits.
• Excellent communication and storytelling skills, with the ability to explain AI capabilities, limitations, and trade-offs to non-technical audiences and senior leaders.

Nice To Haves

• Experience integrating AI solutions with cloud-based data platforms (e.g., Azure, Snowflake) and existing analytics tools.
• Familiarity with concepts such as vector search, RAG, observability/monitoring for AI applications, and AI safety/guardrails.
• Comfort working with Python or similar scripting languages to prototype workflows, connect APIs, or orchestrate tools (no heavy data engineering expected in this role).
• Prior experience in consulting, product, or innovation function driving firmwide change and adoption of new technologies.

Responsibilities

• 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 monday.com (or similar).
• Coordinate with Enterprise Technology, Data Engineering, InfoSec, 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 validate impact and inform scale-up decisions.
• Build feedback loops and telemetry into AI solutions to continuously improve accuracy, safety, user experience, and business value.
• Regularly communicate outcomes and learnings to senior stakeholders through clear, concise storytelling (decks, demos, dashboards, and written summaries).
• Education, Enablement & Governance Create and deliver training, playbooks, and office hours to help non-technical users safely and effectively use AI tools and agents in their daily work.
• Help shape and refine AI usage guidelines, policies, and guardrails in collaboration with Legal/Compliance, Risk, and Information Security.
• Stay current on the evolving AI vendor landscape and private markets–specific solutions, and bring forward recommendations on where Hamilton Lane should invest.

Benefits

• Employees have access to healthcare coverage, mental health resources, health & fitness reimbursement program, and Wellness Rewards Program.
• Tuition and certification reimbursement programs are available, along with continual education and development trainings for you to grow with Hamilton Lane.
• For our communities, Hamilton Lane provides paid time off to volunteer and compensates for referring qualified candidates that join our team.
• For growing family, we offer an adoption reimbursement program, paid time off for new parents and newlyweds, and provide travel support for nursing parents.
• Hamilton Lane contributes to retirement programs and offers an employee stock purchasing plan.
• We offer a competitive salary, annual discretionary bonus and a comprehensive benefits package which includes: Medical, Prescription, Dental, Paid Time Off, 401k plan, Life and Disability Insurances, Tuition Reimbursement, Employee Stock Purchase Program, Health Club Reimbursement and Flexible Spending Accounts.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed