Senior AI Engineering Lead — Fast, Decision‑Driven, Hands‑On

World Wide Technology

Maryland Heights (MO)

On-site

USD 140,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Health benefits
Dental & Vision
Onsite health centers (MO & IL)
Employee Assistance Program
Wellness program
Profit sharing
401k with company matching
Life and disability insurance
Tuition reimbursement
PTO & Holidays
Parental leave
Pet insurance
Employee discount

Job summary

World Wide Technology is seeking a Senior Engineering Manager for AI Advanced Development to lead a small, high‑impact team charged with turning bold AI questions into decisions rather than demos.

You will write, run and evaluate code, coach engineers, and present clear, data‑driven recommendations to executive leadership—often without intermediaries—and help shape faster, responsible AI adoption across the company.

Qualifications

  • Strong software engineering background capable of building working systems.
  • Experience building AI-native applications (LLM integration, agents, retrieval, evaluation harnesses).
  • Proven ability to turn ambiguous questions into defensible technical recommendations on short timelines.
  • Experience leading senior engineers, hiring, and setting technical direction.
  • Judgment on when a technology is ready and when to stop.
  • Proficiency with modern backend/cloud technologies (Python/JS, APIs, event-driven, containers).
  • Exceptional written and verbal communication to executive leadership.
  • Ability to communicate tradeoffs clearly to senior non-technical audiences.
  • High tolerance for ambiguity and time-boxed work.
  • Willingness to hand work away after answering the question.
  • Alignment with WWT Core Values.

Responsibilities

  • Take executive and stakeholder asks about emerging AI capability and turn them into scoped, time‑boxed investigations that produce a defensible recommendation.
  • Run experiments to a decision in weeks - building the smallest credible thing that answers the question and resist the pull toward polish.
  • Kill bets early and publicly, with a clear, written rationale that the organization can learn from and reuse.
  • Package accepted work for handoff: reference implementation, evaluation results, known limits, operating assumptions, and a receiving team that has agreed to take it.
  • Stay hands‑on — build, prototype, and evaluate alongside the team, targeting roughly 60% of your time in the work itself.
  • Maintain a working point of view on the frontier of applied AI: models, agent frameworks, retrieval and context strategies, evaluation methods, and tooling
  • Design and run evaluations that separate real capability from demo‑quality results, including cost, latency, reliability, and failure‑mode analysis.
  • Partner with platform, product, security, and data teams early so that anything handed off can operated by the team receiving it.
  • Say no to work that belongs elsewhere — production ownership, long‑term support, and steady‑state feature delivery.
  • Present findings, tradeoffs, and recommendations directly to executive leadership — in writing and in the room.
  • Write clearly and concisely for a senior audience: short, decision‑oriented documents.
  • Coach and develop senior engineers through clear expectations, direct feedback, and servant leadership.

Skills

Software engineering
AI-native apps
LLM integration
Agents & retrieval
Evaluation harnesses
Automation workflows
Executive communication
Stakeholder management
Leadership of engineers
Agile delivery

Education

Bachelor’s in CS/Engineering

Tools

Python
JavaScript/TypeScript
APIs
Event-driven
Containerized deployment

Job description

World Wide Technology is seeking a Senior Engineering Manager for AI Advanced Development to lead a small, high‑impact team charged with turning bold AI questions into decisions rather than demos.

You will write, run and evaluate code, coach engineers, and present clear, data‑driven recommendations to executive leadership—often without intermediaries—and help shape faster, responsible AI adoption across the company.

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