Technical Lead
Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Software Engineering
In short
Seeking an AI Activation Engineer to develop and implement AI-enabled tools on the Veeva Platform, focusing on measurable efficiency gains. Requires strong Python and LLM application development skills, experience with data-centric applications, web frameworks, and Agile methodologies. Must be adept at stakeholder engagement and understanding AI risk/governance within regulated environments.
Responsibilities
- Deliver AI-enabled tools with measurable efficiency gains.
- Build, ship, and maintain real internal applications using Python.
- Develop LLM-based applications including API integration, prompt design, RAG, and embeddings.
- Work with relational data, structured file ingestion, and data modeling.
- Utilize Python web/data application frameworks (Streamlit, Dash, FastAPI) and engineering disciplines (Git, code review, deployment).
- Collaborate with non-AI practitioners to drive AI adoption.
- Understand and manage AI risk and governance in an enterprise setting.
- Work within regulated (GxP/validated) environments.
- Participate in Agile/Scrum delivery processes.
- Communicate AI capabilities and limitations clearly to stakeholders.
- Gain Veeva Vault literacy within the first 8 weeks for building AI over Vault configuration and documentation.
Requirements
- Demonstrated delivery of AI-enabled tools with measurable efficiency gains.
- Solid software engineering foundation with strong hands-on Python.
- Hands-on experience building LLM-based applications (API integration, prompt design, RAG, embeddings, vector/semantic search, chunking, evaluation, cost/latency control).
- Practical experience with data-centric applications (relational data, file parsing, data modeling, validation).
- Experience with a Python web/data application framework (Streamlit, Dash, FastAPI or equivalent) and standard engineering discipline (Git/GitHub, code review, environment management, deployment).
- Demonstrated ability to work alongside non-AI practitioners and drive adoption.
- Awareness of AI risk and governance (data privacy, hallucination, oversight, change control, Responsible AI).
- Willingness and ability to work within a regulated (GxP/validated) environment.
- Experience in Agile/Scrum delivery (Jira-based backlog, sprint-level delivery).
- Strong English communication skills.
- Veeva Vault literacy or demonstrated ability to achieve it within 8 weeks (object/metadata model, configuration exports/reports, VQL, Vault REST API).
Desired Qualifications
- Ability to explain AI capability and its limits in plain language.
- Role will be cross-trained in Veeva by the CoE.
Benefits
- Supercharge your potential, find your career, and find your spark.
- A place that knows that helping its customers stay on top starts by putting its people first.
- Global technology company with over 223,000 people across 60 countries.
- Delivering industry-leading capabilities centered around digital, engineering, cloud and AI.
- Work with clients across all major verticals including Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services.
- Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion.
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