R&D Domain Architect (PLM + PPM + Regulated Development) in Chicago, IL

R&D Solutions Architect - Cognizant/ Baxter-- Chicago, IL R&D Domain Architect (PLM + PPM + Regulated Development) Scope: Product development, lab systems, regulatory, design/testing, launch readiness What to Source: 10+ years in R&D or product development architecture Experience with PLM, PPM, regulatory, validation, and lab systems Strong understanding of regulated healthcare or life sciences Ideal Backgrounds: PLM/PPM architects from medtech, pharma, biotech R&D transformation leaders with cr

Role: Manufacturing Solutions Architect Responsibilities Develop IT strategy for application and infrastructure architecture supporting greenfield manufacturing sites. Define future-state technology roadmaps that align business objectives, manufacturing capabilities, compliance requirements, and enterprise standards. Lead early-stage solutioning for site buildouts and, where required, technology separation during manufacturing acquisitions. Collaborate with architects across the BTO to develop

Role: R&D Domain Architect Reports to: Chief Enterprise Architect Role Type: Senior Architecture Leadership Location: Deerfield, IL (Hybrid) Duration: Long Term Contract Role Purpose The R&D Domain Architect is the senior architecture leader accountable for shaping and governing technology strategy across end-to-end product development and launch. This role translates R&D and enterprise growth strategy into coherent, executable architecture outcomes that deliver measurable in-year savings, enabl

Role Summary The AI Solution architect will define endtoend agent frameworks, ensure alignment with available enterprise environment, guardrails, and partner closely with engineering, QE, security, and compliance teams. Job Description Business & Stakeholder Leadership Translate business problems into agentdriven solution blueprints.Partner with senior stakeholders to identify highimpact use cases (automation, decision support, quality, operations).Provide executivelevel guidance on agentic AI