Senior AI Delivery Lead (Forward-Deployed)

Prentis; Los Angeles (CA); On-site; USD 180,000 - 250,000; Full time

Benefits offered by this job

Equity

Founding team access

High ownership from day one

Job summary

Prentis is seeking a Lead Forward Deployed Engineer to deploy autonomous AI agents into real enterprise workflows and own the delivery outcomes of the team. This player-coach role lets you join an existing delivery team or build pods from scratch as clientele grows; you own the program end to end, take it to production within 90 days, and keep every engagement moving.

You will spend substantial time on ground-level engineering, mapping messy customer processes, building agentic systems, ensuring

Qualifications

• Five+ years of software engineering experience, with client-facing work.
• Shipped LLM systems to enterprise production and led a forward deployed or solutions engineering team.
• Delivered at least two enterprise system integrations (CRM, ITSM, ERP, data warehouse, or knowledge systems).

Responsibilities

• Own one client program end to end: discovery → prototype → production rollout → iterate until measurable ROI.
• Deliver the discovery document within three weeks of kickoff and agree the outcome baseline with the customer.
• Design and build agentic systems with tool calling, planning/execution loops, state/memory, and HITL controls.
• Implement reliability mechanisms: retries, timeouts, checkpointing, idempotency, and safe failure modes.
• Build enterprise integrations (Slack/Jira/Salesforce/ServiceNow/SQL/SharePoint/knowledge bases), including auth, permissions, and auditability, and drive systems with no API through agentic workflows.
• Create evaluation and monitoring systems: offline regression suites, dataset replay, and production quality/cost/latency dashboards.
• Debug real failures in production: non-determinism, flaky tools, prompt regressions, partial outages, and agent-stuck scenarios.
• Step in on at-risk programs: take over, fix the failure, and hand back to the team.
• Own the customer relationship at the program level: set expectations on scope and timelines, run checkpoint meetings, and manage change requests.
• Contribute reusable components (connectors, eval harnesses, deployment templates) to the shared library from each program.

Skills

Python

TypeScript

API integrations

Systems thinking

Leadership

Client-facing

Problem solving

Ground-level engineering

Tools

LangGraph

LangChain

LlamaIndex

AutoGen

CrewAI

DSPy

Job description

Prentis is seeking a Lead Forward Deployed Engineer to deploy autonomous AI agents into real enterprise workflows and own the delivery outcomes of the team. This player-coach role lets you join an existing delivery team or build pods from scratch as clientele grows; you own the program end to end, take it to production within 90 days, and keep every engagement moving.

You will spend substantial time on ground-level engineering, mapping messy customer processes, building agentic systems, ensuring