AI Engineer Chicago - IL - Illinois

Chicago, IL, US • Posted 5 hours ago • Updated 5 hours ago
Contract W2
Contract Corp To Corp
12 Months
On-site
$40 - $40/hr
Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

  • AI Engineering Delivery Leader

Summary

End-to-end AI lifecycle delivery

DevSecOps + AI Ops + LLM Ops expertise

AI platform & internal developer platform (IDP) experience

AI SDLC ADLC process design & governance Greenfield enterprise AI ecosystem build

Strong delivery leadership & executive stakeholder management

Roles & Responsibilities

Define and operationalize end-to-end AI engineering and delivery lifecycle

Build and lead AI delivery organization across engineering and operations

Establish and track engineering and DevSecOps KPIs

Implement AI SDLC ADLC processes and standards

Select and standardize AI tools, platforms, and frameworks

Align engineering practices with enterprise architecture standards

Ensure compliance with AI governance, security, and risk requirements

Establish and scale agile pod-based delivery teams

Drive DevSecOps, AI Ops, and LLM Ops adoption

Enable platform-driven engineering with reusable components

Identify and resolve delivery bottlenecks

Drive fast, iterative, outcome-focused delivery execution

Engage with executive stakeholders and cross-functional teams

Generic Managerial Skills, If any

How have you structured teams (podssquads) for AI delivery? What KPIs do you track to improve engineering productivity and delivery quality?

Key Words to search in Resume

Pre-Screening Questionnaire

Describe an end-to-end AI solution you delivered from concept to production at enterprise scale.

How do you implement CICD and DevSecOps practices for AIML or LLM systems?

What is your approach to AI Ops LLM Ops (monitoring, evaluation, drift management, guardrails)?

Have you built an AI platform or ecosystem from scratch? Explain your architecture and approach.

How do you define and enforce AI SDLC ADLC processes in an enterprise environment?

How have you structured and led engineering teams (podssquads) to deliver AI solutions at scale?

*What are Regulated Positions

Regulated Positions are those positions which requires TAG to recruit candidates with specific work

authorizations viz.

per MSA.

- ITAR (International Traffic in Arms Regulations).

- NERC CIP (NERC Critical Infrastructure Protection).

- NRC (Nuclear Regulatory Commission).

- Any other regulations as appropriate.

Role Descriptions: Quality Engineering (QE) Leader

Essential Skills: Quality Engineering (QE) Leader

Desirable Skills:

Keyword:

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90911958
  • Position Id: 9014039
  • Posted 5 hours ago
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