Forward Deployment Engineer

Tactical Edge; Washington (District of Columbia); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Tactical Edge in the United States is seeking a Forward Deployment Engineer to serve as a hands-on AI integrator, working closely with customer teams, operators, and internal engineering to identify high-value workflow opportunities and turn successful field experiments into reusable deployment patterns.

You will prototype rapidly, embed with customers across investigations and operations, and create lightweight playbooks while prioritizing security, governance, and reliability as we move from

Qualifications

• Experience building or integrating AI, automation, data, cloud, or operational workflow systems.
• Strong systems thinking with ability to find leverage in messy processes.
• Comfort working directly with customer teams, operators, and technical stakeholders.
• Ability to prototype quickly while maintaining security, governance, and reliability.
• Production-oriented mindset across evaluation, monitoring, failure handling, and adoption.
• Clear written communication; ability to convert field work into reusable playbooks.

Responsibilities

• Embed with customer teams to identify 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

Skills

AI workflow integration

Systems thinking

Customer-facing communication

Prototype development

Production deployment mindset

Technical playbooks

Security/governance awareness

Tools

AWS AI services

Python tooling

Job description

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

Remote / Hybrid

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
• Flexible work setup where applicable

Hiring Process

1

Context + fit

2

Field workflow discussion

3

Cross-functional interview

4

Final conversation

Alignment + offer

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