Top Tech Jobs & Startup Jobs in Chicago, IL

Develop and support full-stack software and database applications across legacy and modernized systems. Integrate AI capabilities using LLMs, agents, and automation; promote responsible AI adoption; and contribute to platform quality, resiliency, testing, releases, and sprint planning. Provide post-production support, participate in on-call rotation, mentor team members, and collaborate with product teams to deliver scalable solutions for WWT’s sales organization.

Lead architecture and design of scalable, distributed systems; research and drive complex multi-technology solutions; develop prototypes; conduct technology assessments and dependency mapping; communicate decisions to technical and C-level stakeholders; provide technical leadership and mentoring across multiple teams; support digital transformation roadmaps and implementation planning.

Develops and deploys production AI and ML solutions in client cloud and on-premises environments. Builds Kubernetes and GPU infrastructure, model-serving platforms, ML pipelines, CI/CD, observability, guardrails, and cost controls. Collaborates with data scientists, engineers, and clients from scoping through delivery, mentors teammates, creates reusable architectures, supports pre-sales, and advises on emerging AI technologies.

Provide technical pre-sales support for VMware and Nutanix virtualization solutions. Lead customer workshops, executive briefings, and technical advisory engagements; develop reference architectures and marketing collateral; train employees and partners; support co-selling and field sales; collaborate with services, architecture, and sales teams; and maintain required vendor certifications.

Leads pre-sales technical strategy for Microsoft Copilot adoption across Microsoft 365 and enterprise workflows. Advises executives, develops adoption and deployment strategies, facilitates workshops, identifies automation opportunities, and builds custom Copilot agents, prototypes, integrations, and Power Platform solutions. The role also addresses governance, compliance, organizational change management, and enterprise API integrations.

Leads presales discovery and advises customers on Microsoft AI strategies, agent architectures, Copilot solutions, governance, and adoption. Designs and builds prototypes and proof-of-concepts using Copilot Studio, AI Foundry, GitHub Copilot, Power Platform, and Azure AI services. Facilitates executive and technical workshops, translates business needs into solution architectures and roadmaps, demonstrates developer productivity improvements, and partners with sales, delivery, and Microsoft teams to transition successful prototypes into funded engagements.

Builds and deploys physical AI and computer vision systems for enterprise customers. Responsibilities include curating video data, training and evaluating models, integrating cameras through RTSP and ONVIF, deploying inference to edge or cloud hardware, building alerts and dashboards, managing retraining loops, and supporting pilots at customer facilities. The role also creates deployment documentation, demo environments, simulations, digital twins, and robotics integrations.

Develop and test custom applications and integrations using frontend, backend, messaging, and database technologies. Responsibilities include software design, code review, comprehensive testing, technical problem-solving, production support, documentation, Agile participation, and mentoring junior developers. The role contributes to complex projects, collaborates with cross-functional and distributed teams, and may provide technical leadership. Up to 10% domestic travel is required.

Supports the integration and enhancement of custom applications and third-party systems. Gathers requirements, develops functional designs, validates solutions, documents workflows, conducts testing, supports user acceptance testing, troubleshoots production issues, and participates in Agile ceremonies. The role also mentors associate analysts, collaborates with technical and business stakeholders, and identifies process improvements across UKG Pro WFM and related enterprise systems.

Leads end-to-end Physical AI solution architecture, from camera and sensor ingestion through computer vision model deployment, monitoring, and operational integration. Scopes engagements, writes statements of work, selects platforms, estimates effort, evaluates architectures, and establishes engineering standards. The role guides production computer vision deployments across edge, on-premises, and cloud environments while supporting digital twins, robotics, partner engagements, and reusable reference architectures.