Top Tech Jobs & Startup Jobs in Chicago, IL

Develop and support InterSystems IRIS and Caché applications for laboratory and healthcare interoperability. Responsibilities include designing ObjectScript classes and productions, building HL7 interfaces, developing APIs and data workflows, optimizing SQL and IRIS data structures, migrating Caché to IRIS, troubleshooting integrations, supporting deployments, and ensuring FDA and HIPAA compliance. The role also involves solution design, root-cause analysis, collaboration with stakeholders, mentoring, and limited onsite sessions.

Leads the strategy, architecture, and implementation of AI-enabled QA capabilities across internal practices and client engagements. Responsibilities include researching AI QA technologies, designing reference architectures, supporting sales and delivery, developing reusable accelerators, managing technology partnerships, creating marketing collateral, and mentoring QA teams. The role requires extensive QA and automation experience, hands-on AI/ML or GenAI expertise, consulting ability, executive communication, and experience with proposals, proofs of concept, demos, and technical solutioning.

Lead the design, configuration, deployment, and optimization of Oracle FCCS solutions. Translate finance requirements into scalable configurations, manage metadata and consolidation logic, support financial close processes, develop reports and dashboards, ensure GAAP/IFRS compliance, troubleshoot performance issues, and provide user training and ongoing support. The role also requires staying current with Oracle Cloud updates and using AI tools responsibly to improve productivity and workflows.

Lead Salesforce architecture for client implementations, specializing in CPQ or Revenue Cloud and multiple Salesforce Clouds. Responsibilities include defining architecture, writing user stories, estimating projects, leading Agile teams, supporting presales, developing proofs of concept, overseeing testing and releases, resolving technical dependencies, engaging stakeholders, and mentoring delivery teams. The role requires strategic leadership, client communication, and hands-on consulting across multiple projects.

Design and lead enterprise Salesforce architectures across multiple clouds, integrations, Data Cloud, Agentforce, AI capabilities, data migration, custom development, security, and DevOps. Partner with clients and stakeholders through workshops, discovery, solutioning, deployment, and technical reviews. Advise executive and technical audiences, support presales activities, mentor delivery teams, and ensure scalable, secure, high-performing implementations.

Lead enterprise Salesforce architecture across multiple client engagements, designing solutions with Salesforce Core, Agentforce, and Data Cloud. Advise executive stakeholders, facilitate discovery and design workshops, develop roadmaps and proofs of concept, estimate projects, guide Agile delivery teams, resolve risks, and mentor technical teams. Drive implementations from strategy through optimization while aligning technology capabilities with business objectives.

Lead the development and scaling of an AI-enabled software development lifecycle practice for regulated industries. Design cloud-agnostic AI platforms, enterprise architectures, compliance frameworks, model gateways, prompt governance, and evidence automation. Deliver rapid platform MVPs, architect solutions, develop proof-of-concepts and sprint features, and guide multiple Agile teams. The role also involves client presales, technical consulting, mentoring, offshore-team collaboration, practice development, and driving innovation across distributed engineering teams.

Lead enterprise Microsoft Fabric architecture, migrations, governance, and adoption programs. Define roadmaps, architecture standards, and delivery plans; guide agile teams and manage technical risks. Support presales through estimates, SOWs, prototypes, presentations, and executive briefings. Mentor distributed teams, develop practice enablement materials, track Microsoft’s roadmap, and build the Fabric center of excellence. The role requires deep Fabric and Azure data platform expertise, governance experience, consulting leadership, certification, and willingness to travel up to 25%.

Lead PIM and PXM strategy and solution architecture for client product activation initiatives. Design product content lifecycles, data models, governance frameworks, workflows, and syndication strategies. Facilitate discovery workshops, translate business needs into implementation plans, guide merchandising and cross-functional stakeholders, and mentor delivery teams. The role combines technical architecture, business consulting, product data expertise, and leadership across concurrent transformation projects.

Design, build, deploy, and operate production conversational AI and intelligent contact center solutions on AWS. Develop Amazon Connect, Lex, Bedrock, NovaSonic, Lambda, API Gateway, and DynamoDB integrations; connect ServiceNow for case management and agent workflows; implement observability and optimize contact center performance. Collaborate directly with client engineering teams through architecture reviews, sprints, pairing, documentation, runbooks, and knowledge transfer.