Principal Analyst, CGT Agentic Solutions

General Summary

Vertex seeks a Principal Analyst, CGT Agentic Solutions to design and implement AI-enabled and agentic technologies across Cell and Gene Therapy (CGT).
Key Duties And Responsibilities

Design and support agentic and AI-enabled solutions for CGT use cases across commercial, development, manufacturing, quality, and supply chain
Translate needs into solution designs, system requirements, integration patterns, and implementation plans
Partner with software, data, architecture, and product teams to deliver scalable and secure digital solutions
Define/evaluate agent workflows, orchestration logic, prompt patterns, tool usage, and knowledge retrieval approaches
Develop solutions using large language models, RAG, workflow automation, APIs, and enterprise data services
Analyze systems/data flows to identify opportunities for automation and modernization
Support data pipelines and integration frameworks for agentic platforms
Ensure security, privacy, validation, and compliance in a regulated environment
Establish technical standards, performance measures, and operational monitoring
Evaluate emerging AI/cloud/automation technologies and recommend practical applications
Support production readiness, testing strategy, release planning, and continuous improvement
Serve as technical lead/SME for agentic solution capabilities
Knowledge And Skills / Technical Skills Required

Hands‑on AI/ML or intelligent automation experience
Architecture/API/data‑flow and workflow automation pattern experience
Understanding of LLMs, agentic systems, and orchestration
Agile/product-based delivery collaboration
Compliance, security, data governance, and validation familiarity
LLM solution design; agentic workflows/orchestration; API/service architecture; data modeling/integration patterns
SQL/data analysis; Python/SQL (or similar)
RAG/vector search/knowledge retrieval/document grounding
Experience with Azure, Databricks, PowerBI, Jira, Confluence, Git (or similar)
SDLC/Agile testing/release management; technical documentation and troubleshooting
Preferred Skills

Advanced technical/scientific degree
CGT/biopharma manufacturing/quality/lab experience
Conversational AI/agent frameworks/enterprise copilots/generative AI platforms
GxP systems, CSV, validation, regulated deployment
Cloud‑native/data pipelines/MLOps
Technical lead across workstreams
Education And Experience

Bachelor’s degree (CS, Data Science, Engineering, Bioinformatics, Information Systems, or equivalent)
5+ years delivering technical solutions/systems analysis/software/platform implementation in regulated industries
Pay Range

$142,800 - $214,200 (eligible for annual bonus and annual equity awards)

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