Technical Lead Architect
Eli Lilly and Company3 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Define GSS Tech’s target-state architecture, AI and agentic strategy, roadmap, and prioritized investment plan.
- Establish reference architectures, secure and compliant engineering patterns, standards, and architecture decisions through shipped implementations.
- Own technical delivery from scoping through release, including risks, dependencies, timelines, and vendor or partner contributions.
- Partner with biostatistics, statistical programming, SDN&A, product, security, platform, quality, and enterprise architecture teams.
- Coach engineers and emerging technical leads through code reviews, pairing, architecture spikes, and technical guidance.
- Automate clinical statistics workflows from statistical analysis plans through submission, including specifications, programming, QC, and CDISC deliverables.
- Architect reproducible, version-controlled, containerized R and SAS environments with end-to-end lineage.
- Build cloud-native applications and APIs using Python, Node.js, React, and PostgreSQL.
- Design and deliver production GenAI, multi-agent, and RAG systems with human-in-the-loop checkpoints, evaluation, and observability.
- Deploy systems on AWS or Azure and establish practices for CI/CD, monitoring, incident response, testing, reliability, and security.
- Build validation-ready systems aligned with GxP and 21 CFR Part 11, including audit trails, qualified environments, independent verification, guardrails, confidence scoring, and explainability.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or a related technical field is required; a master’s degree is preferred.
- 10+ years of software engineering experience, including 4+ years leading technical delivery or architecture for production systems.
- Track record of defining architecture direction and technology roadmaps adopted as reference patterns or platform standards.
- 2+ years building production GenAI or LLM solutions involving agentic patterns, with experience using an agent framework and working knowledge of MCP and A2A.
- Strong expertise in LLM systems and RAG, including prompt and context engineering, function calling, structured outputs, embeddings, vector databases, hybrid search, and evaluation.
- Strong Python skills and working knowledge of Node.js, JavaScript or TypeScript, React, and PostgreSQL.
- Experience building MLOps and data pipelines on AWS or Azure with CI/CD, model versioning, monitoring, Docker, Kubernetes, microservices, and distributed or event-driven systems.
- Experience with API and integration design, automated testing, authentication, authorization, and secrets management.
- Working knowledge of R, SAS, clinical trial statistical programming workflows, SDTM, ADaM, TFL generation, define.xml, and CDISC standards.
- Understanding of responsible AI, hallucination mitigation, guardrails, explainability, and current GenAI and agentic AI developments.
- Track record of coaching engineers and influencing technical decisions across multiple teams through shipped work.
- Ability to lead through ambiguity, influence senior leaders and non-technical partners, and deliver complex programs on time.
- Preferred qualifications include experience in pharma or regulated validated environments, CDISC and clinical trial data flows, eCTD, statistical methods, tidyverse, pharmaverse, Shiny, agent design and evaluation frameworks, Databricks or similar platforms, NoSQL databases, platform engineering, and SAFe or product-oriented delivery models.
Benefits
- Full-time employee role.
- Opportunity to shape clinical trial statistics delivery at the intersection of statistics, AI, and software engineering.
- Work in an autonomous team that owns the full software lifecycle and partners directly with biostatistics, statistical programming, and product leaders.
- Visibility to senior leadership and the opportunity to establish enterprise reference architectures and grow engineers.
- Equal opportunity employer with workplace accommodation support.
Tech Stack
Categories
About Eli Lilly and Company
Eli Lilly and Company researches, develops, manufactures, and markets prescription medicines and biologics for patients, sold through healthcare providers, pharmacies, and payers. Core therapeutic areas include diabetes, oncology, immunology, neuroscience, and obesity. Founded in 1876 and headquartered in Indianapolis, it is a public company (NYSE: LLY) with global operations and is building a new advanced manufacturing site for gene therapy and other modalities in Lebanon, Indiana.