Enterprise AI Engineer & Forward-Deployed Lead

WTW

Austin (TX)

On-site

USD 125,000 - 250,000

Full time

3 days ago
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Benefits offered by this job

Health benefits
Pension plan (401k)
Paid time off

Job summary

WTW is actively seeking an AI Engineer / Forward Deployed Engineer to design, build, and operate production-grade AI solutions inside large enterprise environments. You will translate business needs into deployed AI workflows, connect enterprise systems, and ensure solutions are reliable, secure, cost-effective, and adopted by users.

This role emphasizes hands-on software engineering, LLM pipelines, retrieval pipelines, agentic workflows, and observability of distributed systems.

Qualifications

  • Significant professional experience in software engineering, technical leadership, solutions architecture, or platform engineering.

Responsibilities

  • Design and build AI-enabled applications, copilots, agents, extraction pipelines, prediction interfaces, and decision-support tools.
  • Work directly with business teams to translate real workflows into technical solutions.
  • Build and tune LLM workflows, prompt strategies, schema-driven extraction, and agent orchestration.
  • Integrate AI solutions with enterprise systems, data platforms, and observability tools.
  • Ensure reliability, scalability, latency, and cost control of AI solutions.
  • Create evaluation datasets, tests, and quality workflows to measure accuracy and usefulness.
  • Define architecture and engineering standards for AI-enabled platforms.
  • Prepare structured/unstructured data and design retrieval strategies.
  • Embed security, privacy, and governance into the delivery lifecycle.
  • Provide demos, pilots, training, and documentation to enable adoption.

Skills

Software engineering
Technical leadership
Solutions architecture
Platform engineering

Tools

CI/CD
Cloud platforms

Job description

WTW is actively seeking an AI Engineer / Forward Deployed Engineer to design, build, and operate production-grade AI solutions inside large enterprise environments. You will translate business needs into deployed AI workflows, connect enterprise systems, and ensure solutions are reliable, secure, cost-effective, and adopted by users.

This role emphasizes hands-on software engineering, LLM pipelines, retrieval pipelines, agentic workflows, and observability of distributed systems.

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