Forward Deployed Engineer - Applied AI

Applied AI is Juniper Square’s forward-deployed engineering unit. We design, build, and manage custom AI agents that solve hard operational problems for private markets GPs — running on Juniper Square’s AI infrastructure and integrated with the systems our clients already use. Because we sit on the system of record for the category, we can ship in weeks what otherwise takes years.

We are hiring Forward Deployed Engineers to work directly with GP clients and own delivery end-to-end — discovery, scoping, design, build, deployment, and the ongoing operation of what you ship. You are in the room with the client, not behind a ticket queue.

This is an AI-first engineering role. The solutions you build are powered by modern AI, and you will work at the leverage AI-assisted development makes possible — while understanding in depth every system you ship.

The work combines product management and full-stack engineering, and calls for someone who can operate independently, when needed, while being supported by a world-class team of engineers. Working from the priorities set with the client and Applied AI leadership, you will run discovery, define requirements, sequence delivery, and make the trade-offs that get working software into users’ hands quickly.

Success is measured by adoption and impact. You own what you build through launch and beyond, iterating on real user feedback and contributing the patterns you develop back to Applied AI’s reusable component library.

What you’ll do

• Work with GP clients — CFOs, COOs, heads of technology, investor relations leads, and the fund accountants, IR associates, and deal teams who will use what you build — to find the workflows where custom agents create real leverage
• Run discovery and translate ambiguous business problems into clear requirements, scope, and acceptance criteria
• Carry each solution through its full lifecycle, from prototype and client validation through hardening, deployment, and rollout to production
• Design and build agentic systems: retrieval and context design, tool and MCP integration, orchestration, evaluation harnesses, and the observability and cost controls that keep them reliable in production
• Operate independently on client-edge solutions, and partner with Juniper Square’s platform and product engineering teams where the work touches core systems
• Make engineering trade-offs that hold up under real client commitments, finding speed through reuse rather than through shortcuts on reliability, security, or maintainability
• Own deployed solutions through adoption, including post-launch support, iteration on user feedback, and ongoing operation
• Produce documentation, train users, and manage rollouts to drive adoption
• Set the technical bar for less experienced engineers on your engagements, and pull them toward running engagements of their own

Qualifications

• 5+ years of professional experience shipping production software end to end, with hands-on experience building AI-enabled applications
• A track record of owning delivery, not just implementation — you have been the person accountable for whether something shipped and got used
• Demonstrated ability to translate ambiguous business needs into requirements and deliver working software against them
• Full-stack engineering capability across data, services, user interfaces, and the infrastructure underneath them
• Hands-on infrastructure ownership: deploying and operating applications on a major cloud provider, with working knowledge of containers, infrastructure as code, CI/CD, and production monitoring
• Direct experience working with external clients or customers — scoping, delivering, and managing the relationship, not just the code
• Fluency with AI-assisted development, paired with the depth to understand, debug, and defend everything you ship
• Strong product judgment: defining scope for a first release, prioritizing, and knowing when something is done
• Excellent written communication across requirements, documentation, and client-facing updates, and the ability to explain technical concepts clearly to non-technical stakeholders

Nice to have

• Experience in private markets, financial services, or another regulated, data-sensitive domain
• Familiarity with application security and data handling practices for client data under contractual and SOC 2 obligations, including multi-tenant isolation
• Experience building evaluation and regression testing for non-deterministic systems
• Consulting, professional services, or forward deployed engineering background