Technical Lead - L4 - Talent Ben USA - RRF 16722

Capgemini; Chicago (IL); On-site; USD 80,000 - 124,000; Part time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Retirement benefits

Job summary

Tundra Technical Solutions is seeking a Technical Lead - L4 for Talent Ben USA (RRF 16722) in Chicago to drive production‑ready AI solutions for enterprise clients.

You will work with client executives, architects, and delivery teams to translate business challenges into scalable AI architectures and lead technical delivery across engagements.

Qualifications

• Hands-on leadership of enterprise AI delivery in client engagements.
• Design and deliver production-ready AI architectures and applications.
• Translate business challenges into scalable AI solutions and roadmaps.

Responsibilities

• Lead technical delivery and mentor delivery teams in AI projects.
• Build and deploy production-grade AI applications; monitor deployments.
• Facilitate discovery sessions and align AI solutions with client priorities.

Skills

Context management

Problem solving

DevOps

CI/CD

Python

REST APIs

Production support

Release management

Tools

Google Gemini

Cursor AI

Devin AI

AI Agents

RAG

GitHub

Job description

Technical Lead - L4 - Talent Ben USA - RRF 16722 (Contract)

Chicago, IL, United States (On-site)

Contract (2 months 2 days)

Published 3 days ago

Context Management

Problem - Solving Skills

DevOps & CI/CD

Python

REST APIs integration

production support

release management

Client is building the next generation of enterprise AI engineering capabilities and is seeking experienced AI Tech Leads and Senior AI Engineers who thrive at the intersection of innovation, software engineering, and client delivery.

This is a highly visible, hands‑on role responsible for helping enterprise clients transform how software is designed, developed, tested, deployed, and supported using Artificial Intelligence.

The successful candidate will work directly with client executives, architects, and engineering teams to build production‑ready AI solutions that deliver measurable business outcomes.

Rather than simply advising on AI strategy, this individual will lead by building, mentoring, and executing alongside delivery teams while establishing Client as a trusted AI transformation partner.

Objectives:

Deliver Enterprise AI Solutions That Produce Measurable Business Results Partner directly with client stakeholders to ensure every solution delivers measurable business value through increased efficiency, reduced delivery time, improved quality, or lower operating costs. Success will be measured by successful production deployments, client adoption, engineering productivity improvements, and documented business outcomes.

Transform the Software Development Lifecycle Through AI Build reusable frameworks that enable engineering teams to consistently deliver higher-quality software faster and more efficiently.

Build Trusted Executive Relationships While Leading Technical Delivery Serve as the primary technical advisor during client engagements by facilitating discovery workshops, translating business challenges into scalable AI solutions, leading technical delivery teams, and communicating effectively with both engineering organizations and executive stakeholders. Establish Client as a trusted partner capable of delivering enterprise AI transformation through execution, innovation, and measurable business impact.

Subtasks:

Design Enterprise AI Architectures Design scalable AI solutions that integrate modern large language models, AI agents, enterprise APIs, and intelligent automation into client environments. Evaluate architectural alternatives and recommend solutions that balance scalability, security, maintainability, and business value.

Build Production-Ready AI Applications Remain actively involved in software engineering throughout the complete development lifecycle by building, reviewing, testing, deploying, monitoring, and supporting enterprise AI applications that meet production standards.

Lead Client Discovery and Solution Design Work directly with business and technology leaders to identify opportunities where AI can solve meaningful business problems. Facilitate discovery sessions, define solution roadmaps, develop implementation strategies, and align technical recommendations with business priorities.

Preferred Technical Environment:

Candidates should demonstrate hands‑on experience using modern AI engineering tools and practices, including:

Google Gemini

Cursor AI

Devin AI

Python

AI Agents

Retrieval-Augmented Generation (RAG)

GitHub and AI-assisted software development

Modern CI/CD practices

Experience with cloud platforms is beneficial but secondary to demonstrated success building and delivering enterprise AI solutions using AI-native engineering practices.

Definition of Success:

On day one, this individual is recognized by Client leadership and enterprise clients as a trusted AI engineering leader who consistently delivers production‑ready AI solutions, transforms software engineering through AI, develops lasting client relationships, and contributes reusable assets that strengthen Clients leadership in enterprise AI consulting.

The pay range that the employer in good faith reasonably expects to pay for this position is $57.79/hour - $90.29/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.