Forward Deployed Engineer

Leena AI

5d•Onsite

About The Position

As a Forward Deployed Engineer at Leena AI, you will embed directly with our most strategic enterprise customers to drive transformational AI adoption in HR, IT, and Operations. You will collaborate closely with customer teams to ship advanced AI applications—AI Colleagues, workflow automations, and enterprise integrations—that solve real-world business problems. This is not just a spec-writing role. You are in the field, inside the client’s environment, building and deploying production systems that move organizations from manual processes to AI-powered automation at scale. The Forward Deployed Engineer owns technical delivery end-to-end of our most challenging customers. You'll gather requirements directly from the client, design the integration blueprint, align stakeholders on the approach, and then build it—writing production code, configuring the platform, and connecting enterprise systems. Beyond go-live, you continue to own the deployment: troubleshooting issues, evolving the implementation as client needs change, and serving as the technical point of contact through the lifetime of the account. Working closely with our Post-Sales, Product, and Engineering teams, you'll partner with engineers to unblock complex problems and feed real-world learnings back into the product. As one of our early FDEs, you'll help shape Leena AI's go-to-market motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Leena AI at the highest level in customer environments.

Requirements

8+ years in a customer-facing engineering, professional services, or forward deployed role.
Proven track record of deploying production-grade software inside enterprise client environments, not just in sandboxes.
Strong proficiency in Python and comfort writing production-quality code under real-world time constraints.
Deep experience with REST/SOAP APIs, OAuth 2.0, SAML/SSO, and enterprise integration patterns.
Hands-on experience with enterprise HR or IT systems: Workday, ServiceNow, SAP, Oracle PeopleSoft, UKG, SuccessFactors, or similar.
Ability to navigate ambiguous, fast-moving situations and deliver outcomes without perfect requirements.
Executive presence and confidence leading technical discussions with CIOs, IT Security teams, and senior enterprise stakeholders.
Experience in a fast-paced startup or high-growth SaaS environment where you built structure from ambiguity.
Maintain current knowledge of enterprise AI deployment patterns, LLM capabilities, agentic frameworks, and integration tooling—bringing emerging techniques back into Leena AI’s delivery playbook.

Nice To Haves

Experience deploying AI/LLM-based products, agentic orchestration frameworks (LangGraph, CrewAI), or RAG-based knowledge systems.
Background in HR tech, ITSM optimization, or enterprise automation consulting.
Familiarity with Leena AI’s platform including AIC, AOPs, Skills, and the Flow Dashboard.
Experience building or contributing to implementation playbooks and reusable delivery frameworks.
Track record of mentoring junior engineers or SCs on technical concepts.

Responsibilities

Design integration blueprints and solution architectures directly with the client, then own the hands-on execution—translating your designs into working systems without losing fidelity to agreed scope.
Prototype custom integrations, API connectors, and workflow automation in Python, TypeScript, and JavaScript across enterprise systems including Workday, ServiceNow, SAP, Oracle, and UKG.
Build and configure AI Colleagues, Agent Operating Procedures (AOPs), and Skills directly inside the client's environment—working within their systems, security constraints, and timelines.
Navigate real-world enterprise constraints—SSO/SAML/OIDC, legacy HRIS, data residency, and IT security gatekeeping—to get integrations across the finish line.
Author Solution Design Documents (SDDs) with precision—flagging scope gaps or technical blockers early and looping in PMs or Engineering before they hit the client timeline.
Identify non-standard requirements early and align internal engineering resources to close gaps before they block delivery.
Own the 2-week hypercare period post go-live, ensuring stability and rapid resolution of any production issues.
Understand and configure end-to-end integrations with HRIS, ITSM, payroll, and directory systems using REST APIs, webhooks, and out-of-box Leena AI connectors.
Understand and configure complex authentication flows including OAuth 2.0, SAML, and API key management across client enterprise environments.
Build and validate test cases for both internal UAT and client UAT, ensuring quality before go-live.
Debug and resolve 400/500-series API errors, integration failures, and platform configuration issues with urgency and precision.
Serve as the senior technical point of contact for enterprise clients during active implementations, participating in steering committees and technical working sessions.
Act as a technical escalation resource for the broader Professional Services team—triaging issues, unblocking SCs and PMs, and providing authoritative answers to client technical questions.
Proactively communicate risks, dependencies, and blockers to PMs and leadership before they become CIO-level escalations.
Participate in pre-call readiness reviews to ensure no client-facing question goes unanswered.
Identify and codify repeatable integration patterns from each deployment—building a library of reusable templates, connector configurations, and self-serve documentation that accelerates future FDE engagements.
Contribute to the AIC self-serve lifecycle documentation library and platform backend training materials.
Provide feedback to Solutions Consultants on what is and is not buildable within the platform—helping sharpen the quality of integration blueprints handed to the FDE team on future engagements.
Contribute at least 3 reusable knowledge assets per quarter to the PS team knowledge base.