AI Enabled Automation Architect

AI Enabled Automation Architect dedicated to Site Automation Engineering to support advanced pharmaceutical manufacturing initiatives. This role focuses on the continued development, maturation, and application of reusable phase libraries, equipment module abstractions, and digital knowledge structures that enable scalable and repeatable manufacturing automation. The role operates within a GxP and GMP regulated environment and works closely with site automation, process engineering, and execution teams to validate solutions using real batch records and real manufacturing use cases. Responsibilities: Further develop and mature a reusable phase library and associated equipment module abstractions Define and refine taxonomies, schemas, naming conventions, governance rules, and knowledge structures that support reuse Support multi format master batch record ingestion and generation of structured phase analysis outputs Design and apply capability gate screening logic to evaluate batch records against defined capability criteria Align reusable libraries with physical equipment and rig capability across manufacturing contexts Evaluate and support MES and control system connected workflows, including DeltaV and MES recipe design flows Support iterative build test refine delivery using real batch records and real use cases as validation inputs Provide planning and or implementation support for recipe design generation, rig fit incorporation, and equipment capability mapping Collaborate closely with Site Automation Engineering, Process Engineering, Process Translation and Execution teams, IT, Quality, and site leadership

AI enabled analysis, decision support, or knowledge system experience in regulated technical environments Experience bridging process knowledge and digital execution systems without heavy reliance on custom application development Experience with technology transfer, manufacturing automation, recipe design, control strategies, or batch execution workflows Hands on understanding of MES, DeltaV, or related automation platforms and digital manufacturing architectures Strong capability in data modeling, information architecture, or digital knowledge representation Experience designing modular and reusable technical frameworks Ability to work iteratively using real process examples, user feedback, and rapid learning cycles Strong cross functional engagement skills across automation, process engineering, operations, quality, and execution teams Pharmaceutical or life sciences manufacturing experience, preferably in biologics, advanced therapies, or greenfield facilities Small molecule experience preferred and multi-modality experience beneficial Preferred Qualifications Change management, training, and governance experience supporting operational adoption Familiarity with data integrity principles including ALCOA plus Experience with electronic validation management systems such as Kneat or ValGenesis Tools and Technologies: Manufacturing Execution Systems DeltaV and related control systems Digital manufacturing architectures Data modeling and knowledge management frameworks Batch record analysis and recipe design tools

• Fenton, MO

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• 9 days ago +

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil, and India. Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise. We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you!, Jones Lang LaSalle

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