Top Tech Jobs & Startup Jobs in Chicago, IL

Lead client-facing advisory engagements, direct delivery teams and workstreams, run workshops, manage scope/timelines, produce and present deliverables, support business development, and mentor team members to enhance advisory offerings.

Lead end-to-end design and build of AI-enabled ServiceNow solutions (Now Assist, AI Agents, AI Search), guide platform integrations and data foundations, ensure governance and evaluation, mentor developers, and drive AI enablement across at least one additional ServiceNow product suite.

Leads client-facing technology consulting engagements, including strategy and roadmap workshops, requirements gathering, project delivery, milestone management, and executive presentations. Directs diverse advisory and technical teams, manages client expectations, reviews deliverables, supports sales pursuits, develops proposals, expands consulting offerings, advises on technology trends, and mentors team members. The role focuses on transformative modernization initiatives involving cloud adoption, automation, platform engineering, and agile-at-scale adoption.

Lead the architecture and deployment of enterprise-grade AI solutions. Collaborate with clients and technical teams to translate requirements into technical designs, ensuring solutions are scalable and secure. Establish engineering standards, mentor teams, and drive the integration of AI into enterprise environments.

The Principal Consultant leads AI and digital transformation engagements, guides clients in identifying AI opportunities, builds strategies and roadmaps, implements solutions, and develops teams to achieve measurable business outcomes.

The Senior AI Engineer will develop and deploy multi-agent systems, automate workflows, integrate enterprise systems, and mentor junior engineers while ensuring quality and security compliance.

Lead architecture, design, development, and deployment of complex ServiceNow IRM/SecOps solutions. Mentor teams, run client workshops/demos, design integrations, maintain certifications, participate in presales, and provide thought leadership across multi-resource programs.

Lead complex data, analytics, AI, and cloud transformation engagements as a trusted advisor: manage delivery, scope, budget, stakeholders, and teams; design scalable data platform solutions; drive business development, mentoring, and practice improvements.