Top Tech Jobs & Startup Jobs in Chicago, IL

Design and deliver scalable, secure Azure cloud and AI solutions including copilots and intelligent agents. Lead architecture, technical delivery, and customer engagements to drive Azure adoption, optimize performance and cost, and deliver measurable business outcomes.

Lead design and development of AI/ML framework and inference software (ONNX, ONNX Runtime, Foundry Local). Provide technical leadership, mentor engineers, define requirements and design docs, drive performance, reliability, and observability improvements, act as DRI and participate in on-call operations, and collaborate across products to deliver scalable AI solutions.

Drive Cloud and AI solution sales by engaging customers, qualifying opportunities, coordinating partners, managing pipeline and forecasting, and aligning Azure-based AI and cloud solutions to customer business objectives to accelerate adoption and expansion.

Design and lead end-to-end enterprise data and GenAI architectures, drive cloud migration/modernization, define GenAI/Copilot/agentic patterns (RAG, embeddings, vector search), establish MLOps/LLMOps and governance, ensure Responsible AI and security, and act as trusted technical advisor across presales through production.

Lead customer-facing data science engagements: manage data acquisition and cleaning, build and evaluate scalable models, drive model best practices and ethics, write extensible code, research industry trends, define solution strategy, and collaborate across engineering and product teams to deliver AI/cloud solutions.

Customer-facing Cloud Solution Architect responsible for designing, delivering, and productionizing AI-powered applications on Azure. Lead architecture, POCs/MVPs, migrations, and operational readiness for AKS, App Services, Azure AI Foundry, GitHub and related cloud-native workloads. Drive consumption growth, customer satisfaction, skilling, and reusable IP while collaborating with engineering, execs, and development teams to remove blockers and ensure secure, resilient, scalable production deployments.

Lead development of SMB customer insights and targeting cohorts, analyze large multi-source datasets, build analytical models, deliver quick-turn actionable reports, advise leadership on GTM strategy, and drive CloudAscent adoption across sales and partner teams.

Lead global SMB strategy and growth by defining near- and long-term GTM plans, translating strategy into scalable execution, enabling field and partners, synthesizing customer/field signals, and driving measurable revenue and market outcomes while building a high-performing, inclusive team.

Design, implement, test, and optimize components of AI/ML frameworks (ONNX, ONNX Runtime, Foundry Local). Improve system performance and efficiency, collaborate with internal/external partners, provide technical support, and contribute to open-source and cross-platform deployments for devices from servers to mobile and edge.

Drive technical pre-sales for Cloud and AI application solutions: run demos, PoCs, hackathons, and architecture workshops; co-design secure, scalable cloud-native architectures; resolve technical blockers; maintain expertise in AI Foundry, Azure AI, Responsible AI, and AI management/security to accelerate customer adoption and production deployments.