Lead Forward Deployed Engineer

Titan Holdings

Titan is building species-impacting businesses with AI-driven breakthroughs

Save

Apply Now

Forward Deployed Engineer

• $145k – $160k
• |Remote ( Everywhere ) • California +2
• |5 years of exp
• |Full Time

Posted: today• Recruiter recently active

Job Location

California •

Los Angeles •

Chatsworth

Remote Work Policy Onsite or remote

Hires remotely in

Everywhere

Visa Sponsorship Not Available

RelocationAllowed

Skills

• Python

• CRM

• Planning

• API

• TypeScript

• itsm

• LLMs

About the job

We're hiring a Lead Forward Deployed Engineer to deploy autonomous AI agents into real enterprise workflows and to own the delivery outcomes of the team doing it. This is a player-coach role. You may join an established delivery team or build pods from scratch as clientele grows; either way, you own the program end to end, take it to production within 90 days, and keep every engagement moving.

Hands-on work is a large part of the job, and not because there is no team. You are the backstop: when a seat is unfilled, a deliverable is off track, or a team member can't do the work, you do it yourself. Expect to spend much of your time on ground-level engineering (mapping messy customer processes, building and integrating agentic systems, owning production reliability) alongside hiring, managing, and reporting on the portfolio.

We're looking for someone who has shipped LLM systems to enterprise production, has led a forward deployed or solutions engineering team, and is comfortable moving between the two in the same week.

Role & Responsibilities

Hands-On Delivery

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 human-in-the-loop (HITL) controls

Implement reliability mechanisms: retries, timeouts, checkpointing, idempotency, and safe failure modes

Build enterprise integrations (e.g., Slack/Jira/Salesforce/ServiceNow/SQL/SharePoint/knowledge bases), including auth, permissions, and auditability, and drive systems with no API (ERPs, legacy desktop tools) through computer-use agents

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 got stuck" scenarios

Step in on any program where delivery is at risk: take over the workstream, fix the failure, and hand it back

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

Team and Delivery Leadership

Define and publish the pod standard, then hold every pod to it

Hire, onboard, and manage pod leads and forward deployed engineers; review their designs against the reliability standard you set

Own delivery outcomes across accounts: a single view of every engagement, a weekly status review, and every deployment to production within 90 days

Manage engagement economics (scope, staffing, change control) to hold blended gross margin above target

Unblock engineers, make scoping calls quickly, and escalate to the founding team when a decision needs them

Report to the founding team on status, risk, margin, and resourcing; help shape product roadmap, technical strategy, and deployment playbooks

Required Qualifications

Five or more years of software engineering experience, at least two of them client-facing

Shipped LLM systems to enterprise production: hands-on LLM application work including tool use, planning, state/memory, and reliability mechanisms

Delivered at least two enterprise system integrations to production (e.g., CRM, ITSM, ERP, data warehouse, document or knowledge systems)

Experience with evaluation of LLM/agent behavior (task suites, regression tests, acceptance metrics, quality thresholds)

Production engineering mindset: tracing/logging, incident-style debugging, rollout/rollback strategies, versioning prompts/tools

Strong software engineering fundamentals (Python and/or TypeScript), API integrations, and systems thinking

Led a forward deployed, solutions engineering, or deployment team with direct reports

Comfortable stepping in to do the work yourself when a seat is unfilled, a deliverable is off track, or the team can't do it

Based in Los Angeles (preferred) or San Francisco, and able to be onsite in Los Angeles at least one to two times per month, two to three days per visit

Apply Now

About the company

Titan Holdings More jobs Titan is building species-impacting businesses with AI-driven breakthroughs51-200 Employees

United States

51-200

Healthcare

Education

• Artificial Intelligence

• Software

• Learn more about Titan Holdings

• More jobs at Titan Holdings

• Account Executive, Go-To-MarketOnsite or remote · San Francisco · +1 more · $150k – $210k • No equity→

• View all jobs at Titan Holdings

• Similar Jobs