Senior Forward Deployed Engineer, Applied AI
Juniper Square · USA ·
- Work mode
- Remote
- Seniority
- Senior
- Employment
- Full time
- Category
- AI engineering
- Experience
- 5+ years
- Company size
- 1000+
- Salary
- USD 165,000 – 200,000 / year
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Senior Forward Deployed Engineer in Juniper Square's Applied AI unit, working directly with private markets GP clients to discover, scope, build, deploy, and operate custom AI agents end to end. Combines product management with full-stack engineering on agentic systems — retrieval, MCP/tool integration, orchestration, evaluation, and cloud infrastructure.
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.
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.
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
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
Compensation for this position includes a base salary with equity, and a variety of benefits. The U.S. base salary range for this role is $165,000-$200,000. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.
Benefits include:
Health, dental, and vision care for you and your family
Life insurance
Mental wellness coverage
Fertility and growing family support
Flex Time Off in addition to company-paid holidays
Paid family leave, medical leave, and bereavement leave policies
Retirement savings plans
Allowance to customize your work and technology setup at home
Annual professional development stipend
Your recruiter can provide additional details about compensation and benefits.
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McKesson · Irving, TX, USA - 6555 North State Highway 161 (P001)