Senior Forward Deployed Engineer, Applied AI

Juniper Square; Northern (KY); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Juniper Square, a leader in private markets technology, is hiring Forward Deployed Engineers for Applied AI to work directly with GP clients and own end-to-end delivery. You will engage in discovery, design, build, deployment, and ongoing operation of AI-powered solutions.

This AI-first engineering role combines product management and full-stack work, requiring independence with strong support from a world-class team. You’ll ship solve capabilities and iterate from client feedback.

Qualifications

• 5+ years of professional experience shipping production software end to end, with hands-on experience building AI-enabled applications.
• Track record of owning delivery, not just implementation — you are accountable for shipped work.
• Able to translate ambiguous business needs into requirements and deliver working software.
• Full-stack capability across data, services, UIs, and underlying infrastructure.
• Hands-on ownership of infrastructure: cloud deployments, containers, IaC, CI/CD, and monitoring.
• Experience working with external clients, scoping, delivering, and managing relationships.
• Fluency with AI-assisted development and ability to defend what you ship.
• Strong product judgment: define scope, prioritize, and know when something is done.
• Excellent written communication for requirements, docs, and client updates.

Responsibilities

• Work with GP clients — CFOs, COOs, heads of technology, investor relations leads, and deal teams to identify workflows where custom agents create real leverage.
• Run discovery and translate ambiguous problems into clear requirements, scope, and acceptance criteria.
• Lead solutions through prototype, validation, hardening, deployment, and rollout to production.
• Design agentic systems: retrieval/context design, tool integration, orchestration, observability, and cost controls.
• Operate independently on client-edge solutions and partner with platform/product engineering when needed.
• Make engineering trade-offs to balance speed with reliability, security, and maintainability.
• Own deployed solutions through adoption, post-launch support, and iteration based on user feedback.
• Produce documentation, train users, manage rollouts to drive adoption.
• Set the technical bar for less experienced engineers and guide engagements of their own.

Skills

AI-enabled apps

Full-stack engineering

Cloud deployment

Client-facing delivery

Independent work

CI/CD & monitoring

Documentation skills

Strong written comms

Tools

Docker

Terraform

CI/CD pipelines

Job description

About Juniper Square

Private markets are one of the largest, most complex, and most underserved corners of global finance. Our mission at Juniper Square is to unlock their full potential. We're the Operations Partner trusted by 2,300+ GPs, unifying technology, data, and fund administration services into a single platform that helps GPs move faster, make better decisions, and scale with precision. With $300B+ under administration and 700,000+ LPs on platform, we've built the scale to match our ambition. And with JunieAI, our purpose-built AI platform, we're reimagining how private markets operate, embedding intelligence across every workflow. Founder-led since 2014, backed by $350M+ in funding, and now 1,000+ employees strong, we're building a company designed to shape the future of private markets for decades to come.

Our culture is built for people who want to do ambitious, meaningful work alongside exceptionally talented teammates. We think like owners, move with urgency, and take pride in solving hard problems that truly matter to our customers and the future of private markets. We believe the best ideas come from open debate, deep collaboration, and diverse perspectives, which is why we believe transparency is the default and feedback makes us stronger. If you're energized by high standards, rapid growth, and the opportunity to help define a category at a pivotal moment, come join us!

Juniper Square offers employees a variety of ways to work, ranging from a fully remote experience to working full-time in one of our physical offices. We invest heavily in digital-first operations, allowing our teams to collaborate effectively across 27 U.S. states, 2 Canadian Provinces, India, Luxembourg, and England. We also have physical offices in San Francisco, New York City, Mumbai and Bangalore for employees who prefer to work in an office some or all of the time.

About 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.

About your role

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