We are seeking a Principal Enterprise AI Architect to lead the execution of Cellares’ enterprise AI strategy. This role will operationalize AI across business and manufacturing systems, focusing on real-world impact across GMP systems (MES, ERP, LIMS, QMS), enterprise functions, and digital manufacturing platforms.
This is a hands-on individual contributor role at the intersection of AI, enterprise architecture, data platforms, and business transformation. You will work closely with cross-functional teams to deploy scalable, compliant, and high-impact AI solutions.
Candidates should enjoy working in a fast-paced, mission-driven environment, and be prepared to tackle a broad selection of challenges as the company grows.
Responsibilities
- Execute the enterprise AI roadmap aligned with IT and business transformation goals
- Translate AI strategy into prioritized, outcome-driven use cases across manufacturing, supply chain, quality, and enterprise functions
- Drive adoption of AI across IT and business workflows with measurable ROI
- Define and implement scalable AI architecture leveraging Azure, Databricks, and enterprise data platforms
- Evaluate and deploy AI tools such as Microsoft Copilot, LLM platforms, and custom AI agents
- Integrate AI solutions with enterprise systems including SAP S/4HANA, Tulip MES, LabVantage LIMS, and Veeva QMS
- Design and deploy AI-driven solutions for: Digital manufacturing optimization (yield, scheduling, deviations), Supply chain planning and forecasting, Quality and compliance automation, IT operations and service management, & Enable agentic workflows (“digital employees”) to automate repetitive processes
- Establish AI governance aligned with GxP, data integrity, and regulatory requirements
- Partner with InfoSec, Quality, and Legal to ensure responsible AI practices
- Define guardrails for data usage, model monitoring, and human oversight
- Partner with Engineering, Manufacturing, Quality, Supply Chain, TechOps, and Business teams
- Work closely with Enterprise Architecture, Data, and Integration teams
- Collaborate with external partners and system integrators
- Define KPIs and track adoption, efficiency gains, and cost savings
- Communicate AI outcomes to executive leadership
- Build dashboards and reporting for AI performance and ROI
- Mentor team members and build AI capabilities within IT and business teams
- Drive AI literacy and training programs across the organization
- Support GCC (India) team build-out for AI and data capabilities
Requirements
- Bachelor’s or Master’s degree in Engineering, Life Sciences, Information Systems, or related field
- 7+ years of experience in enterprise IT, data, or AI/ML roles
- 2+ years leading AI, automation, or data initiatives at scale
- Experience in architecting and deploying enterprise AI agents
- Experience with GenAI/LLMs and enterprise AI platforms
- Strong understanding of enterprise systems (SAP, MES, LIMS, QMS)
- Experience in regulated industries (biotech, pharma, manufacturing) preferred
- Knowledge of cloud platforms (Azure preferred), Databricks, and data architecture
- Strong stakeholder management and communication skills
- Ability to translate AI concepts into business value
- Self-awareness, integrity, authenticity, and a growth/entrepreneurial mindset
Skills Required
- Bachelor's or Master's degree in Engineering, Life Sciences, Information Systems, or related field
- 7+ years of experience in enterprise IT, data, or AI/ML roles
- 2+ years leading AI, automation, or data initiatives at scale
- Strong understanding of enterprise systems (SAP, MES, LIMS, QMS)
- Knowledge of cloud platforms (Azure preferred), Databricks, and data architecture
- Experience in regulated industries (biotech, pharma, manufacturing) preferred
What We Do
Cellares is revolutionizing cell therapy manufacturing. We are developing a one-of-a-kind solution, The Cell Shuttle, to overcome the challenges associated with manufacturing so these life-saving therapies are affordable and widely available to patients who can benefit. The clinical impact of cell therapy in treating cancer has been proven, but this therapeutic approach has several limitations, especially in manufacturing, leaving extremely sick patients waiting for treatment and desperate for hope. Since cell therapy is currently produced for a single patient at a time, it is expensive to manufacture, requiring significant time and resources, and is difficult to scale. Preclinical and clinical scientists, as well as commercial cell therapy manufacturers also lack the options to fully automate their manufacturing process quickly, safely, cost-effectively and at the scale they need. The Cell Shuttle is an automated and closed end-to-end manufacturing solution that is flexible and scalable, enabling customers to run exact processes specified for their cell therapy. Compared with the current manual manufacturing processes for cell therapy, the Cell Shuttle’s next-generation automated manufacturing solution has 10 times the scalability (meaning 10 times more patient doses can be produced simultaneously), enables a three-fold reduction in process failure rates and will reduce the per-patient manufacturing cost by up to 70 percent for most processes.
