Principal Analyst, CGT Agentic Solutions

About the role

The Principal Analyst, CGT Agentic Solutions at Vertex is responsible for driving the design and implementation of advanced AI-enabled and agentic technologies across the Cell and Gene Therapy (CGT) organization.

Responsibilities

• Design and support the implementation of agentic and AI-enabled solutions for CGT use cases across commercial, development, manufacturing, quality, and supply chain
• Translate technical and operational needs into solution designs, system requirements, integration patterns, and implementation plans
• Partner with software engineers, data engineers, architects, and product teams to deliver scalable and secure digital solutions
• Define and evaluate agent workflows, orchestration logic, prompt patterns, tool usage, and knowledge retrieval approaches for enterprise applications
• Support development of solutions leveraging large language models, retrieval-augmented generation, workflow automation, APIs, and enterprise data services
• Analyze existing systems, data flows, and technical architectures to identify opportunities for automation, optimization, and modernization
• Contribute to the design of data pipelines, integration frameworks, and system interoperability models supporting agentic platforms
• Ensure solutions align with security, privacy, validation, and compliance requirements in a regulated biotechnology environment
• Establish technical standards, performance measures, and operational monitoring approaches for deployed solutions
• Evaluate emerging AI, cloud, and automation technologies and recommend practical applications within CGT
• Serve as a technical leader and subject matter expert for agentic solution capabilities within the CGT digital ecosystem

Requirements

• Hands-on experience working with AI/ML-enabled applications, enterprise platforms, system integrations, or intelligent automation solutions
• Experience with Salesforce Agentforce or building AI agents/automations on Salesforce Platforms
• Experience defining and supporting the implementation of technical architectures, APIs, data flows, and workflow automation patterns
• Strong understanding of large language models, agentic systems, orchestration concepts, or applied AI solution design
• Experience collaborating with engineering, architecture, data, and product teams in Agile or product-based delivery environments
• Strong analytical and technical problem-solving skills with the ability to work across complex enterprise ecosystems
• Familiarity with compliance, security, data governance, and validation considerations in regulated environments

Skills

• Large language model application design and AI solution analysis
• Agentic workflows, orchestration frameworks, and prompt design concepts
• API design/integration and service-based architecture
• Data modeling, data flows, and enterprise integration patterns
• Workflow automation and intelligent process orchestration
• SQL and data analysis skills
• Experience with scripting or programming languages such as Python, SQL, or similar
• Familiarity with cloud platforms and modern data ecosystems
• Understanding of RAG architectures, vector search, knowledge retrieval, and document grounding approaches
• Experience with tools and platforms such as Azure, Databricks, Power BI, Jira, Confluence, Git, or similar technologies
• SDLC, Agile delivery, testing, and release management practices
• Technical documentation, solution design, and systems troubleshooting

Preferred Skills

• Advanced degree in a technical or scientific discipline
• Experience in Cell and Gene Therapy, biopharmaceutical manufacturing, quality, or laboratory environments
• Experience with conversational AI, agent frameworks, enterprise copilots, or generative AI platforms
• Familiarity with GxP systems, CSV, validation processes, and regulated platform deployment
• Experience working with cloud-native architectures, data engineering pipelines, or MLOps practices
• Ability to operate as a technical lead across multiple workstreams and stakeholders
• Experience evaluating and implementing emerging AI technologies in an enterprise setting