Posted on: 28/05/2026
Job Description :
We are seeking an experienced AI Solution Lead/ Architect to lead the design and delivery of enterprise-scale Agentic AI solutions within the Clinical Trials domain. This role will drive architecture strategy, multi-agent AI workflows, LLM integration, and scalable AI platform design across clinical operations and digital products.
Key Responsibilities :
- Lead end-to-end architecture for Agentic AI solutions in Clinical Trials and Healthcare domains
- Design scalable multi-agent systems leveraging LLMs, RAG, orchestration frameworks, and enterprise AI platforms
- Collaborate with business, data science, engineering, and product teams to translate complex requirements into technical solutions
- Define AI architecture standards, governance, security, and deployment best practices
- Project deck preparation and support presentation to stakeholders
- Guide solution delivery, technical roadmap, and vendor/platform evaluations
Qualifications :
- Strong experience with Generative AI, LLMs, Agentic AI frameworks, and cloud-native architectures
- Experience with LangGraph, LangChain, RAG pipelines, vector databases, and MLOps/LLMOps platforms preferred
- Knowledge of Clinical Trials, Healthcare, Life Sciences, or regulated environments strongly preferred
- Excellent stakeholder communication and leadership skills
Preferred Skills :
- Python, API architecture, cloud platforms (Azure)
- AI governance, compliance, and enterprise deployment experience
- Familiarity with Databricks, MLflow, knowledge graphs, and workflow orchestration tools
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