Technical Lead

discovery workshops, translating business challenges into scalable AI solutions, leading technical delivery teams, and communicating effectively with both. The successful candidate will work directly with client executives, architects, and engineering teams to build production-ready AI solutions that.

Role Name: Technical Lead
Work site: Chicago, US (Onsite)

Job Description/Role
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
1. 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.

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

3. 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
• Claude / Claude Code
• Devin AI
• Python
• AI Agents
• Model Context Protocol (MCP)
• Retrieval-Augmented Generation (RAG)
• Enterprise API Integration
• 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.