DataZymes - Lead Engineer - Agentic AI in Bangalore, भारत

Job Description : We are looking for passionate and driven professionals to join DataZymes, a next-generation analytics and data science company founded in 2016. At DataZymes, we focus on driving technology-led innovation and helping clients maximize the value of their data and analytics investments through cutting-edge platforms and consulting https://jobeax.com/link/nvgZtZRicQn7IsIf role is a builder-leader position. You will architect and ship multi-agent systems that operate autonomously across pharma data pipelines, regulatory intelligence workflows, and cross-functional analytics use cases. You will write code, own production deployments, and lead a small team doing the https://jobeax.com/link/U7vL05fpuzou15Ay : - Design and build end-to-end agentic systems combining LLMs, multi-agent orchestration, enterprise data pipelines, and pharma-specific business logic.- Select and implement the right orchestration approach across no-code, low-code, and pro-code patterns.- Architect retrieval and knowledge services (RAG, knowledge graphs) over structured and unstructured pharma data.- Build observability, monitoring, and evaluation frameworks to track agent behavior in production.- Integrate with upstream pharma data platforms (IQVIA, Symphony, Komodo, Veeva) and downstream delivery https://jobeax.com/link/L4WM5rOqqo6LnpiG Domain Application : - Translate commercial analytics, medical affairs, and clinical operations workflows into agentic automation opportunities.- Build agents that operate over 21 CFR Part 11-aware environments.- Develop intelligent document processing pipelines for clinical study reports, drug labels, HEOR submissions, and payer https://jobeax.com/link/kkyIM8i58hpqqgEV & Client Delivery : - Lead a team of AI engineers and ML practitioners. Set technical direction, review architecture decisions, and maintain a high bar for production quality.- Partner with client-facing teams to scope agentic AI engagements.- Communicate complex agent system behavior to non-technical pharma stakeholders.- Champion AI governance practices aligned with industry https://jobeax.com/link/Gipe3k6ZpkZRzekd You Bring : Technical Depth : - 8+ years in software or ML engineering; 3+ years with production LLM or agentic AI systems.- Hands-on proficiency with agentic frameworks : LangGraph, LangChain, AutoGen, CrewAI, or equivalent.- Direct SDK experience : Anthropic, OpenAI, Google Vertex AI.- Python fluency. Ability to build, test, and deploy production code.- Strong RAG architecture skills : chunking strategies, embedding models, vector stores, knowledge graphs.- Cloud-native deployment : AWS, Azure, or GCP. Containerization (Docker, Kubernetes), CI/CD, https://jobeax.com/link/aoW1tjYQD02ZU2k4 / Life Sciences Domain : - Working knowledge of pharma commercial data ecosystems : Rx/claims data, NPI-level analytics, market access.- Familiarity with regulated data environments : GxP, 21 CFR Part 11, HIPAA.- Exposure to medical affairs analytics, real-world evidence, clinical operations, or HEOR https://jobeax.com/link/eGFLPX60fVh2AcTv & Communication : - 5+ years leading technical teams or delivery workstreams.- Track record of shipping production AI solutions with measurable business impact.- Comfortable in executive-level conversations.- Strong written communication https://jobeax.com/link/ZitjVqvb84V4AOyQ To Have : - Experience with Veeva Vault, Medidata, or IQVIA platform integrations.- Knowledge of RLHF and fine-tuning workflows.- Familiarity with EU AI Act and FDA guidance on AI/ML.- Prior consulting or services-firm experience. (ref:hirist.tech)