General Summary
Vertex is seeking a Principal Analyst, CGT Agentic Solutions to drive the design and implementation of advanced AI-enabled and agentic technologies across our Cell and Gene Therapy (CGT) organization. This role is ideal for a technically strong professional who can bridge data, AI, systems integration, and digital product delivery to create scalable solutions in a complex and highly regulated environment.
The Principal Analyst will work closely with engineering, data, platform, and business analysts to develop intelligent solutions that automate workflows, orchestrate information, enhance decision-making, and improve operational efficiency across CGT. This role will play a key part in shaping how agentic architectures, AI services, and enterprise data ecosystems are applied to real-world scientific and operational challenges.
Key Duties and 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
- Support production readiness, testing strategy, release planning, and continuous improvement of technical solutions
- Serve as a technical leader and subject matter expert for agentic solution capabilities within the CGT digital ecosystem
Knowledge and Skills:
- 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
Technical Skills Required:
- 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
Education and Experience:
- Bachelor’s degree in Computer Science, Data Science, Engineering, Bioinformatics, Information Systems, or equivalent
- 5+ years of experience in technical solution delivery, systems analysis, software/product engineering support, or platform implementation in biotechnology, pharmaceuticals, life sciences, or another regulated industry
