Senior Forward Deployed Engineer (AI)

Juniper Square•,

1d•$170,000 - $220,000•Hybrid

About The Position

Juniper Square is a leading financial technology company focused on unlocking the potential of private markets. We provide a unified platform for GPs and LPs, integrating technology, data, and fund administration services. With a strong backing and a growing team, we are at the forefront of reimagining private markets operations with our AI platform, JunieAI. Our culture emphasizes ambitious, meaningful work, ownership, urgency, and collaboration, fostering an environment where diverse perspectives drive innovation. We offer flexible work arrangements, including remote options and physical offices in key locations, enabling effective collaboration across global teams. The AI Guild is responsible for leading internal AI adoption at Juniper Square. We collaborate with various departments to identify high-impact AI opportunities, develop AI-powered applications, and ensure successful business outcomes through widespread adoption. As a Forward Deployed AI Engineer, you will be embedded within business teams to lead the complete delivery of internal AI applications. This role involves partnering directly with stakeholders from discovery to production adoption, scoping work, designing solutions, building them, and ensuring their active use. It's an AI-first engineering position where you will leverage agentic coding tools as your primary development environment. The role blends product management and full-stack engineering, requiring high agency to translate broad strategic priorities into tangible results. Success is measured by the adoption and impact of the products you deliver. You will own these products post-launch, iterating based on user feedback and contributing your learnings to the AI Guild.

Requirements

4+ years of professional experience shipping production software end to end, with hands-on experience building AI-enabled applications
Demonstrated ability to translate ambiguous business needs into product requirements and deliver working software against them
Full-stack engineering capability across data, services, and user interfaces
Proficiency with agentic coding tools such as Claude Code, Cursor, or Augment
Experience deploying and operating applications on a major cloud provider
Working knowledge of application security practices for systems handling sensitive company data
Strong product judgment, including the ability to define scope for an initial release, prioritize features, and determine completion criteria
Excellent written communication skills across requirements, specifications, documentation, and stakeholder updates
Proven ability to work directly with non-technical stakeholders and communicate technical concepts clearly

Responsibilities

Partner with business teams (Operations, Customer Success, Marketing, Finance, Legal, and others) to identify opportunities where AI can improve internal workflows and outcomes
Conduct discovery with stakeholders and translate business needs into clear product requirements and acceptance criteria
Carry each product through its full lifecycle, from prototyping and stakeholder validation through hardening, deployment, and rollout to production
Use agentic coding tools such as Claude Code, Cursor, or Augment as the primary development environment
Operate independently on standalone internal applications, and partner with central Engineering teams when work intersects with core systems or production platforms
Make engineering tradeoffs appropriate to an internal user base, balancing speed of delivery with reliability, security, and maintainability
Own deployed tools through adoption, including post-launch support, iteration based on user feedback, and ongoing maintenance
Produce documentation, conduct user training, and manage rollouts to drive adoption
Contribute reusable components, patterns, and learnings back to AI teams