Top Remote Principal Engineer Jobs in Chicago, IL

Lead the engineering architecture for an AI-driven product, focusing on system design, collaborating with AI agents, and ensuring quality and scalability in large-scale SaaS environments.

Serve as the senior technical authority for enterprise supply‑chain integrations and agentic AI workflows. Architect and build data pipelines, microservices, APIs, and LLM-powered automation; own POCs to production, define reusable integration standards, support pre-sales, mentor engineers, and drive platform roadmap and customer outcomes across ERP/OMS/WMS/TMS ecosystems.

Design, implement, and deploy safety-critical navigation and state estimation systems for aerospace platforms. Develop EKF and GNSS/INS integration, multi-sensor fusion for GPS-denied environments, FDIR and integrity monitoring, and V&V test plans. Support certification, requirements allocation, performance analysis, flight test evaluation, and provide technical leadership and mentoring.

Lead design and optimization of low-observable aircraft features, perform electromagnetic signature modeling and simulation, direct RCS testing and validation, partner with materials and multidisciplinary teams to mature RAM and coatings, translate threats into survivability features, and support program assessments and milestone decisions.

Lead design and prototyping of generative AI experiences for autonomy development; drive UX for Hivemind products; perform user research, collaborate with CTO and product leads, and deliver reference implementations and integrations across full-stack web and edge systems.

Lead development of core client systems and engine-level infrastructure in Unity/C#. Diagnose and fix cross-cutting performance issues, upgrade third-party SDKs, evolve build tooling, produce design docs, scope multi-week infrastructure initiatives, mentor engineers, and drive profiling, optimization, and architecture changes to enable future features.

Serve as a global SME for Industrial Metaverse technologies (PLCs, IoT, cloud/edge, digital twins, AI, EMC/RED, cybersecurity). Lead standards work, develop test programs, perform and supervise complex testing, train staff, represent UL externally, and support clients and continuous improvement across regional or global labs.

Partner with sales to design and present data security solutions for SLED customers. Lead technical evaluations, gather requirements, build test plans, configure proof-of-concepts, and guide customers to successful outcomes while collaborating across GTM teams.

Provide technical leadership for cross-functional teams, create and communicate technical vision and strategy, lead new initiatives without defined procedures, remove roadblocks, resolve issues, mentor engineers, and perform related duties. Remote role based in Canada; GM does not provide immigration sponsorship.

The role involves leading security initiatives, building security tools, conducting vulnerability assessments, and collaborating with teams to enhance cloud security and risk management.

Lead the design and execution of a new enterprise data platform, ensuring metrics reliability and supporting AI-driven products, while mentoring engineers and collaborating across teams.

Own cross-team, platform-level engineering initiatives end-to-end: architecture, migrations, observability, on-call, and customer outcomes. Drive AI-native tooling and agentic AI adoption, mentor senior engineers, and set technical standards across teams.

Lead architecture, modernization, and development of Group Insurance applications. Modernize mainframe monoliths into Java microservices and micro-frontends on cloud, mentor distributed Agile teams, collaborate with enterprise architecture, product owners and infrastructure, and enable test automation and integrations. Approximately 10% domestic travel.

Lead technical direction and deliver large-scale ML platform infrastructure including feature store, model serving, experimentation, and training pipelines. Drive architecture, mentor engineers, coordinate cross-team initiatives, resolve system-wide issues (latency, reliability, GPU utilization), and define safe ML deployment paths from registration through rollout, monitoring, and rollback.

Lead design, build, and deploy of large-scale data platforms for LLMs, RAG, and agentic AI systems. Hands-on coding, architecting fault-tolerant pipelines, establishing MLOps/DataOps best practices, mentoring engineers, and operationalizing research into production across Exabyte-scale distributed systems.

As a Principal Sales Engineer, lead technical sales engagements in healthcare, driving complex projects with executive stakeholders while mentoring teams and shaping product direction.

Lead design, development, and delivery of mission-critical SIEM platform features. Define technical vision, own quality and uptime, mentor engineers, collaborate cross-functionally, build AI-assisted workflows, and drive performance, monitoring, and architecture decisions.

Define engineering vision and drive technical strategy for enterprise platforms supporting CMS QMARS. Build paved paths focused on developer experience, observability, and design/content enablement while modernizing systems to reduce provider burden and improve patient care.

Lead long-term strategy and architecture for cloud and on‑prem platform infrastructure, driving Kubernetes and multi‑cloud reliability, IaC/GitOps automation, observability, SLO/SLI/error‑budget practices, incident leadership, AI‑augmented tooling adoption, and mentorship of senior engineers to improve platform resilience and developer experience.

Lead technical strategy and architecture as a Principal Software Engineer, define company-wide AI/LLM roadmap, drive platform reliability at scale, mentor senior engineers, and partner with executives and product to deliver secure, high-impact solutions.

Design, architect, and implement cloud-first full-stack software using Java/C# and JavaScript frameworks. Provide technical leadership, mentor engineers, improve architecture and performance, promote CI and automated testing, and support customer implementation and cloud platform operations.

The Principal AI/ML Engineer will lead the development of AI/ML platforms, drive technology architecture, ensure quality and integration, and provide strategic leadership while managing a team of engineers.

Lead DevEx strategy and execution across inner-loop and outer-loop developer experiences. Align platform, CI/CD, IDP, and SRE teams, define productivity metrics (DORA/DX), drive AI-enabled SDLC adoption, improve CI/CD reliability and predictability, and mentor engineering teams to scale developer productivity.

Lead architecture and hands-on development of credit card processing platforms using microservices and event-driven patterns. Drive CI/CD, mentor teams, integrate third-party vendors, support front-end (JS/TS) and backend (Java) development, and apply basic AI capabilities to improve reliability and automation.

As a Senior Principal Engineer, you'll define and drive the technical strategy for customer experience platforms, lead architectural decisions, and mentor engineering teams to enhance customer and agent experiences.