HYDERABAD · FULLTIME
Advisor Software Engineer
Eli Lilly and Company
Hyderabad · onsite · Posted 12d ago
Sourced from
Undisclosed14–19 yrsfulltimeHyderabad
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Section · 01
About this role
Job Summary
What You ll Be Doing
System Design Architecture
AI-Driven Agentic Engineering
Cross-Functional Leadership Influence
What You Should Bring
System Design Architecture
Software Engineering
AI Agentic Systems
Leadership Influence
Basic Qualifications
Additional Skills / Preferences
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
As a Advisor Software Engineer (R5), you are a recognised technical authority who shapes the engineering direction of the SPE organisation. You combine deep, hands-on expertise in system design and distributed architecture with a forward-looking AI-first mindset - designing and building agentic AI systems, intelligent automation pipelines, and next-generation software platforms. You are the go-to person when teams face their hardest technical challenges, and you translate that expertise into scalable, production-grade solutions that drive measurable business outcomes across multiple functions. This is a high-impact, hands-on technical leadership role. You will architect end-to-end systems, write production code, champion AI-driven development practices, and influence engineering culture across teams - all while mentoring and coaching engineers to raise the overall technical bar.
What You ll Be Doing
System Design Architecture
- Own end-to-end system design of large-scale, distributed, cloud-native platforms - from API contracts and data models to deployment topology and observability.
- Define and enforce architectural standards and patterns (microservices, event-driven, serverless, CQRS) and lead architecture reviews, ADRs, and technical blueprints.
- Design for resilience, scalability, security, and cost-efficiency on cloud platforms (AWS preferred; GCP/Azure acceptable).
- Drive decomposition of monolithic and COTS systems into modern, maintainable, in-house services and platform capabilities.
- Hands-On Full-Stack Engineering: Write production-quality code across the stack using modern languages and frameworks (e.g., Python, JavaScript/TypeScript, Go, Java, Rust, or equivalent) on both frontend and backend.
- Build and optimise APIs (RESTful, GraphQL), real-time communication layers, and high-throughput data pipelines with appropriate database technologies (relational, NoSQL, or columnar).
- Champion code quality through rigorous reviews, test-driven development, and CI/CD automation.
- Apply DevSecOps principles end-to-end.
AI-Driven Agentic Engineering
- Architect and build agentic AI systems that autonomously execute multi-step workflows - leveraging LLM orchestration frameworks (LangChain, LangGraph, CrewAI, or equivalent), tool-use patterns, and retrieval-augmented generation (RAG).
- Design AI-native architectures that embed intelligence into products: context-aware assistants, automated decision support, and self-healing infrastructure.
- Demonstrate mastery of prompt engineering, model evaluation, and responsible AI practices.
- Leverage AI-assisted development tools (GitHub Copilot, Claude, Cursor) and set the standard for the team.
- Evaluate emerging AI technologies (foundation models, multi-modal AI, MCP, A2A protocols) and drive adoption where they create measurable value.
Cross-Functional Leadership Influence
- Act as the technical conscience across multiple teams and functions - challenging the status quo and providing recommendations to improve processes, tooling, and practices.
- Coach engineers at all levels, sharing specialised knowledge in architecture, AI, and software craftsmanship.
- Represent SPE in architecture guilds and technology leadership forums.
What You Should Bring
System Design Architecture
- Proven track record designing and delivering large-scale distributed systems in production (microservices, event-driven, serverless architectures).
- Deep expertise in at least one cloud platform (AWS preferred) with infrastructure-as-code (CloudFormation, CDK, Terraform) and containerisation (Docker, Kubernetes).
- Cloud certifications are a plus.
- Strong knowledge of domain-driven design (DDD), CQRS, API gateway patterns, and system decomposition strategies.
Software Engineering
- Strong proficiency in one or more modern programming languages (e.g., Python, JavaScript/TypeScript, Go, Java, Rust) with the ability to work across the full stack.
- Experience building frontend applications with modern frameworks (e.g., React, Angular, Vue) with focus on performance, accessibility, and component-driven design.
- Proficient in backend development with appropriate frameworks and database technologies (relational and/or NoSQL).
- Strong testing discipline and CI/CD experience.
AI Agentic Systems
- Hands-on experience building AI-powered applications: agentic workflows, RAG pipelines, LLM integrations, and prompt engineering at production scale.
- Familiarity with AI orchestration frameworks and foundation model capabilities, limitations, evaluation, and responsible AI principles.
Leadership Influence
- Demonstrated ability to influence technical direction across multiple teams without direct authority.
- Excellent communication for architecture documents, ADRs, and standards.
- Strong track record of coaching engineers.
- A challenger mindset: you question assumptions, propose better alternatives, and drive innovation.
Basic Qualifications
- Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related technical field.
- 14+ years of hands-on software development experience across frontend and backend systems, with at least 4 years in a senior/lead architecture role.
- Strong foundation in computer science fundamentals, data structures, algorithms, and software architecture.
- Effective communication skills with the ability to influence at a cross-functional level.
- High intellectual curiosity and commitment to continuous learning.
Additional Skills / Preferences
- Experience in regulated industries (e.g., Life Sciences, Healthcare) or familiarity with compliance frameworks (GxP, HIPAA, SOX).
- Contributions to open-source projects, technical publications, or a visible engineering community presence.
- Experience with platform engineering, developer experience (DX) tooling, or multi-modal AI in enterprise contexts.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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Section · 02
Skills
Automationclaudecloud certificationsclinical trialscloud platformscode qualityapiscloud platformamazon web servicesai technologiesaws cloudformationAws Api GatewaycloudAlgorithmsArchitectureAngularjsMicrosoft AzureBackend DevelopmentArtificial Intelligence
Section · Company
About Eli Lilly and Company
Eli Lilly and Company
Pharma
2.7k+
employees
1993
33 years old
Indianapolis, Indiana
United States (USA)
₹23.4L PA avg
Avg at Eli Lilly and Company
About
Lilly unites caring with discovery to create medicines that make life better for people around the world.
Industries
Pharma
Employee ratings
10 reviews
3.7/ 5
Culture
2.2
Career growth
2.0
Work-life
3.3
Employees rate it well for
Work-Life Balance39Job Security38
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