Principal Enterprise AI Architect

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

This is Cellares

Cellares is the first Integrated Development and Manufacturing Organization (IDMO) and takes an Industry 4.0 approach to mass manufacturing the living drugs of the 21st century. The company is both developing and operating integrated technologies for cell therapy manufacturing to accelerate access to life-saving cell therapies. The company’s Cell Shuttle integrates all the technologies required for the entire manufacturing process in a flexible and high-throughput platform that delivers true walk-away, end-to-end automation. Cell Shuttles will be deployed in Cellares’ Smart Factories around the world to meet total patient demand for cell therapies at global scale. Partnering with Cellares enables academics, biotechs, and pharma companies to accelerate drug development and scale out manufacturing, lower process failure rates, lower manufacturing costs, and meet global patient demand. The company is headquartered in South San Francisco, California with its commercial-scale IDMO Smart Factory in Bridgewater, New Jersey. The company is backed by world-class investors and has raised over $355 million in financing.

Leveling will be based on overall experience, education, and demonstration of knowledge throughout the interview process.