Lead Software Engineer - Gen AI, LLM, Agentic AI
Wells Fargo (company site, opens in a new tab)5+ yrsHyderabadOn-siteDirect career pageEst. 30–55 LPA
Posted 0m ago
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Job description
Structured overview of role & requirements
About This Role
- Lead complex technology initiatives with broad companywide impact in Generative AI and related technologies.
- Develop and enforce standards and best practices for engineering large-scale AI solutions across the organization.
- Design, implement, review, and mentor teams on AI software projects, making strategic technical decisions involving advanced AI frameworks and tooling.
Minimum Requirements
- 5+ years of software engineering experience (via work, training, education, or military).
- Deep expertise in Generative AI, Foundation Models, RAG, Agentic AI, and multi-agent systems.
- Hands-on experience with GenAI frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel.
- Strong knowledge in prompt engineering, context management, fine-tuning, vector databases, AI orchestration, LLMOps/MLOps, AI observability, model evaluation, and benchmarking.
Ideal Candidate Profile
- Proven experience leading scalable enterprise AI/GenAI platform development with multi-use case proficiency.
- Expertise in defining GenAI standards, governance, risk, compliance, guardrails, and security including adversarial testing and AI red teaming.
- Strong cloud-native architecture background with Azure, AWS or Google Cloud and mastery of Kubernetes, microservices, APIs, CI/CD, Infrastructure as Code, and platform engineering.