Forward Deployment Engineer

Embed with customer teams to turn high-value AI workflow opportunities into adopted, measurable production systems.

Remote / Hybrid

Forward-Deployed AI Engineering

Full-time

Role Overview

The Forward Deployment Engineer is a hands-on AI integrator who works close to customer teams, operators, and internal engineering to identify high-value workflow opportunities, build practical agentic AI solutions, and convert successful field experiments into reusable deployment patterns.

What You'll Do

Embed with customer teams to identify, prioritize, and accelerate high-value AI workflow opportunities

Build and integrate agentic AI workflows across investigations, reporting, operational analysis, customer operations, and internal tooling

Replace manually intensive workflows with scalable, reusable AI-enabled solutions

Partner with product, AI engineering, security, and customer stakeholders to move from prototype to production

Create reusable workflow patterns, templates, implementation notes, and lightweight operational playbooks

Drive hands-on adoption and enable customer teams on approved AI tools and operating patterns

Track adoption metrics, operational KPIs, hours saved, quality improvements, and failure modes

Share field learnings with the broader engineering team so one deployment improves the next

What We're Looking For

Experience building or integrating AI, automation, data, cloud, or operational workflow systems

Strong systems thinking and ability to find leverage inside messy real-world processes

Comfort working directly with customer teams, operators, and technical stakeholders

Ability to prototype quickly while keeping security, governance, and reliability in view

Production-oriented mindset across evaluation, monitoring, failure handling, and adoption

Clear written communication and ability to turn field work into reusable playbooks

Bonus: Experience with LLMs, RAG, agentic systems, AWS AI services, Python tooling, or operational analytics

How We Work

Outcome-driven

Solutions that run in production

Agentic by design

Systems that reason and act safely

Enterprise-first

Security, governance, scale

Small teams, high ownership

Direct impact on outcomes

What You'll Get

Hands-on ownership of customer-facing AI deployments
Exposure to real operational problems where AI needs to produce measurable outcomes
Collaboration across product, AI engineering, security, delivery, and customer teams
Competitive compensation (role/location dependent)
Flexible work setup where applicable

Hiring Process

Intro call

Context + fit

Field workflow discussion

Real customer deployment scenario

Cross-functional interview

AI / engineering / customer delivery

Final conversation

Alignment + offer

We value clear problem-solving and production readiness over theoretical perfection.

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