Top Tech Jobs & Startup Jobs in Chicago, IL

Own auto-dialer and outbound campaign management capabilities, translating business needs into requirements, user stories, acceptance criteria, and prioritized backlogs. Partner with cross-functional business and Scrum teams through delivery, testing, UAT, production support, and incident resolution. Coordinate dependencies and risks, communicate with stakeholders, and use analytics to evaluate outcomes and support prioritization. Develop executive-ready presentations and documentation for functionality, process changes, decisions, and results.

Lead software development for Twilio-based applications across planning, architecture, implementation, testing, deployment, documentation, and support. Develop applications using React, Redux, Node.js, and Twilio services, with AWS experience. Lead technical requirements gathering, estimate work, mentor developers, provide technical leadership, collaborate with architects and clients, and communicate solutions to technical and non-technical audiences.

Leads Azure solution architecture engagements from discovery through implementation. Designs landing zones, governance, identity, infrastructure modernization, hybrid migrations, and Infrastructure as Code. Partners with sales on scoping, estimates, proposals, and executive presentations while advising client leadership. Mentors technical teams, develops reusable delivery accelerators, and supports Azure practice growth. Requires deep hands-on Azure expertise, consulting experience, Azure certification, and willingness to travel up to 25%.

Design, build, deploy, and optimize AI/ML and generative AI solutions on Databricks. Develop scalable Spark and Delta Lake data pipelines, operationalize models with MLflow, and build RAG and LLM applications. Implement MLOps practices including CI/CD, monitoring, governance, and model deployment. Collaborate with technical, data, engineering, and business teams to deliver enterprise-scale AI platforms and analytics solutions.

Leads Perficient’s Adobe digital marketing consulting capability, owning bookings, revenue, pipeline, solution quality, and billability. Advises enterprise clients on Adobe marketing-stack strategy, identity and data architecture, governance, personalization, content production, migrations, agentic capabilities, and consumption economics. Leads executive workshops, major pursuit reviews, reusable architecture development, hiring, staffing, career progression, and team development. The role requires translating recommendations into deliverable implementation plans and setting practice standards across complex consulting engagements.

Architects enterprise AI/ML and MLOps platforms, translating business goals into scalable AI initiatives. Leads discovery, platform evaluations, proof-of-concepts, reference architectures, CI/CD automation, model lifecycle management, governance, observability, and responsible AI practices. Partners with data scientists, engineers, and platform teams while supporting client workshops, solution pursuits, and implementation roadmaps. Provides expertise across Snowflake, cloud platforms, machine learning infrastructure, generative AI, LLMOps, and emerging AI technologies.

Leads the integration workstream for an Informatica SaaS MDM implementation. Designs, develops, tests, deploys, monitors, and troubleshoots batch, real-time, API-based, and event-driven integrations. Defines architecture and development standards, manages mappings and reconciliation, collaborates with business and data teams, and ensures governance and security compliance. Provides technical leadership, code reviews, mentoring, work allocation, and quality oversight for offshore developers while supporting Agile planning, deployment, and hypercare.

Owns business analysis and delivery for Adobe Experience Manager initiatives. Responsibilities include gathering requirements, managing and prioritizing backlogs, writing user stories and acceptance criteria, facilitating Scrum ceremonies, coordinating developers, architects, UX, QA, and stakeholders, supporting UAT, tracking risks and releases, and leading business-side content migration activities through validation, cutover, and sign-off.

Lead delivery and technical direction for data solutions: define scope, anchor proofs-of-concept, provide solution architecture, integrate third-party services, manage timelines and budgets, ensure customer satisfaction, mentor teams, support sales and proposals, and run PMO practices across large multi-team engagements.

Designs and delivers Salesforce Data 360 architectures that unify customer data and enable activation across Sales, Service, Experience, and Marketing. Leads discovery workshops, solution design, presales strategy, technical delivery, integrations, and architectural decisions. Advises on cloud data platforms, zero-copy patterns, identity resolution, transformations, and AI enablement. Mentors consultants, reviews technical work, manages risks, supports estimation, evaluates talent, and builds trusted client relationships.