Principal Analyst, CGT Agentic Solutions

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 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 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
- Evaluate emerging AI, cloud, and automation technologies and recommend practical applications within CGT
- Support production readiness, testing strategy, release planning, and continuous improvement
- Serve as a technical leader and subject matter expert for agentic solution capabilities

Knowledge And Skills
- Hands-on experience with AI/ML-enabled applications, enterprise platforms, system integrations, or intelligent automation
- Experience with Salesforce Agentforce or building AI agents/automations on Salesforce Platforms
- Experience defining/implementing technical architectures, APIs, data flows, and workflow automation patterns
- Strong understanding of large language models, agentic systems, orchestration, and applied AI solution design
- Experience collaborating in Agile/product delivery environments
- Strong problem-solving across complex enterprise ecosystems; familiarity with compliance/security/data governance/validation in regulated environments

Technical Skills Required
- LLM application design; agentic workflows/orchestration/prompt design
- API design/integration; service-based architecture
- Data modeling/data flows/enterprise integration patterns
- Workflow automation and intelligent orchestration
- SQL and data analysis; scripting/programming (Python/SQL or similar)
- Cloud platforms and modern data ecosystems; RAG/vector search/knowledge retrieval
- Tools such as Azure, Databricks, Power BI, Jira, Confluence, Git (or similar)
- SDLC, Agile delivery, testing, release management; technical documentation and troubleshooting

Preferred Skills
- Advanced degree; CGT/biopharma manufacturing/quality/lab experience
- Conversational AI/agent frameworks/enterprise copilots/generative AI platforms
- GxP systems, CSV, validation processes, regulated platform deployment
- Cloud-native architectures/data pipelines/MLOps; technical leadership across workstreams; enterprise evaluation/implementation of emerging AI

Education And Experience
- Bachelor’s degree in Computer Science, Data Science, Engineering, Bioinformatics, Information Systems, or equivalent
- 5+ years delivering technical solutions/systems analysis/software/product engineering support/platform implementation in regulated biotech/pharma/life sciences

Pay Range
- $142,800 - $214,200