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Forward Deployed Ai Engineer Jobs in Missouri (NOW HIRING)

Jobgether

$100K - $120K/yr

Our partner is looking for an AI/ML & Forward Deployed Engineer based in Netherlands. This role offers the opportunity to build and deploy high-impact AI, machine learning, and generative AI ...

Deloitte

Forward Deployed Engineer- AWS

Saint Louis, MO · On-site

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery ...

Deloitte

Forward Deployed Engineer- AWS

Kansas City, MO · On-site

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery ...

Perficient

Forward Deployed Engineer

Saint Louis, MO · On-site

$52.25 - $69.75/hr

As a Forward Deployed Engineer you will lead and scale Perficient's Product Development practice ... Design enterprise AI SDLC platforms (cloud-agnostic across Azure/AWS/GCP/on-prem) with security and ...

Perficient, Inc.

Forward Deployed Engineer

Saint Louis, MO · Remote

$118K - $202K/yr

As a Forward Deployed Engineer you will lead and scale Perficient's Product Development practice ... Perficient is the global AI and technology consulting firm disrupting the traditional consulting ...

Deloitte

Lead Forward Deployed Engineer - AWS

Saint Louis, MO · On-site

$99K - $131K/yr

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery ...

Deloitte

Senior Forward Deployed Engineer- AWS

Saint Louis, MO · On-site

$101K - $139K/yr

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery ...

Deloitte

Senior Forward Deployed Engineer- AWS

Kansas City, MO · On-site

$102K - $140K/yr

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery ...

Deloitte

Lead Forward Deployed Engineer - AWS

Kansas City, MO · On-site

$100K - $131K/yr

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery ...

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All JobsForward Deployed Ai Engineer JobsForward Deployed Ai Engineer Jobs in Missouri

Forward Deployed Ai Engineer information

See Missouri salary details

$23

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$71

How much do forward deployed ai engineer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for forward deployed ai engineer in Missouri is $50.31, according to ZipRecruiter salary data. Most workers in this role earn between $40.58 and $58.41 per hour, depending on experience, location, and employer.

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Forward Deployed Ai Engineer jobs near you
Infographic showing various Forward Deployed Ai Engineer job openings in Missouri as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $104,636 per year, or $50.3 per hour.

Forward Deployed AI Engineer Healthcare (Agentic AI )

The Giant Bullseye

Saint Louis, MO • On-site

Contractor

Re-posted 7 days ago

Job description

Role Overview

We are hiring Forward Deployed AI Engineers (FDEs) to partner with one of the largest healthcare payers in the U.S. to drive AI-led transformation across core business workflows.

This is not a traditional engineering role. You will work directly with business and technology teams to design, build, and deploy AI agents that transform how healthcare operations function, while enabling teams to become AI-native and self-sufficient.

You will operate at the intersection of AI, engineering, and healthcare operations, delivering real-world impact across critical payer workflows.

Key Responsibilities1. AI-Driven Business Transformation
  • Redesign healthcare processes using AI-first principles
  • Identify opportunities to replace or augment manual workflows with AI agents
  • Translate business problems into working AI solutions
2. Agentic AI Design & Deployment
  • Design, build, and deploy AI agents for enterprise workflows
  • Implement multi-agent systems using LLMs (prompting, memory, tool usage)
  • Rapidly prototype and productionize solutions using platforms such as:
    • OpenAI
    • Anthropic
    • Google (Gemini)
3. Forward Deployed Execution
  • Work directly with client teams (business + IT) to:
    • Whiteboard solutions
    • Build prototypes in days/weeks
    • Deploy and iterate rapidly
  • Operate as a trusted advisor and builder
4. AI-Augmented SDLC
  • Leverage AI across the software lifecycle:
    • Code generation and refactoring
    • Automated testing and validation
    • Documentation and observability
  • Drive productivity improvements across engineering teams
5. Enablement & Adoption
  • Train business and operations teams to:
    • Use AI tools and agents effectively
    • Build and iterate workflows independently
  • Develop reusable playbooks and frameworks
Domain Focus (Healthcare Payer Workflows)
  • Claims Processing & Adjudication
  • Prior Authorization
  • Member & Provider Contact Center
  • Provider Data Management
  • Care Management & Utilization Review
  • Revenue Cycle & Payment Integrity
Required SkillsTechnical
  • Strong software engineering background (Python, APIs, microservices)
  • Experience with LLMs, prompt engineering, and AI frameworks
  • Familiarity with agent frameworks (LangChain, Semantic Kernel, etc.)
AI & Data
  • Experience building AI/ML or LLM-powered applications
  • Understanding of structured and unstructured data pipelines
  • Knowledge of model evaluation, monitoring, and governance
Cloud
  • Experience with:
    • AWS
    • Azure
Consulting Mindset
  • Strong communication and stakeholder management
  • Ability to work directly with business teams
  • Experience in rapid prototyping and iterative delivery
Preferred
  • Experience in U.S. healthcare payer or PBM environments
  • Understanding of claims, prior auth, or care management workflows
  • Familiarity with regulatory/compliance (HIPAA)
 Experience
  • 6–12+ years in software engineering, AI, or related roles
  • Prior client-facing / consulting experience preferred
What Makes This Role Unique
  • Work at the forefront of AI-driven enterprise transformation
  • Build real-world AI agents replacing traditional workflows
  • Direct business impact through a forward-deployed model
  • Opportunity to scale from pilot solutions to enterprise-wide programs
 Success Metrics
  • Number of workflows transformed using AI
  • Reduction in manual effort and cost-to-serve
  • Adoption of AI tools by business teams
  • Speed from prototype to production