Join a growing team with this exciting opportunity for a Automation Project Engineer at our Boulder and Frederick, Colorado GMP facilities. Work at the forefront of the growing oligonucleotide (DNA-RNA) based therapeutics industry at our dynamic, fast-paced manufacturing sites. You will play a crucial role in ensuring the design, implementation, and maintenance of automation systems. Your primary responsibility will be to drive PI automation system integration to improve operational efficiency, data integrity, and regulatory compliance in close collaboration with cross-functional teams, including Engineering, Manufacturing, Quality Assurance, Validation, and IT, to ensure the successful execution of automation projects that meet the highest quality standards. Work with a cross functional project team to design, implement, and maintain an AVEVA PI systems (formerly OSIsoft PI), ensuring optimal performance and integration with industrial systems like SCADA, BAS, MES, ERP and other systems. Develop PI Asset Framework (AF) models, PI Vision dashboards, and custom reporting solutions to drive operational insights and decision-making. Design and implement PI Interfaces and PI Connectors for seamless integration with PLCs, DCSs, SCADA systems, SQL Databases, and other industrial data sources. Configure PI Data Archive for optimal performance, including tuning compression settings, exception filters, and archive management. Support 21 CFR Part 11 compliance by configuring audit trails, electronic signatures, and secure access controls within the PI System. Manage the overall architecture and strategy for real-time data management across the organization, ensuring scalability and data integrity. Provide leadership in troubleshooting and resolving complex PI system issues, optimizing system performance, and ensuring data quality across platforms. Support Commissioning, Qualification, Validation (CQV) activities and function as primary point of contact on PI projects for CQV. Mentor and train junior engineers, provide technical guidance, and collaborate with cross-functional teams to drive improvements in data collection, analysis, and reporting. Support data governance initiatives by documenting tag naming conventions, metadata standards, and historian retention policies.