Senior Software Engineer - Gen AI
Wells Fargo (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 35–60 LPA
Posted on 9 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead and deliver moderately complex AI and GenAI-focused software engineering initiatives, including designing and deploying enterprise-scale AI-enabled applications and platforms.
- Architect and develop AI agent workflows, model orchestration solutions, and reusable AI components using frameworks like LangChain, AutoGen, and cloud AI platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI).
- Collaborate across teams to build secure, scalable, and maintainable services with observability and compliance, deploying on container platforms such as Kubernetes or OpenShift.
Minimum Requirements
- Work Experience Required: Not explicitly mentioned in the JD
- Proficiency in Python and experience with AI frameworks, REST APIs, asynchronous services, and microservices architectures.
- Experience with AI platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI) and GenAI technologies such as LangChain, LangGraph, AutoGen, MCP, or equivalents.
- Experience with cloud-native engineering including Kubernetes, containers, CI/CD automation, and secure, scalable application development.
Ideal Candidate Profile
- Strong background in architecting and scaling enterprise GenAI and AI-driven platforms with deep domain expertise in agentic AI, multi-agent systems, and knowledge graphs.
- Experience designing AI model orchestration (routing, selection, fallback), AI observability, security, governance, and cost optimization strategies.
- Capable of leading moderately complex initiatives independently, collaborating with cross-functional teams, and mentoring less experienced staff in a large enterprise technology environment.