09 Sep
|
Wells Fargo
|
Bengaluru
09 Sep
Wells Fargo
Bengaluru
About this role:
Wells Fargo is seeking a principal Engineer
- In this role, you will:
- Architect and build enterprise-scale GenAI platforms with robust focus on reliability, scalability, and security
- Lead development of agentic AI systems, including:
- Agent orchestration frameworks
- Multi-agent workflows
- Tool execution layers
- Design and implement context engineering and memory management frameworks:
- Short-term and long-term memory
- Context-aware reasoning systems
- Drive adoption of AI-assisted development tools (e.g., Copilot, Claude Code, Devin) across engineering teams
- Define standards, reusable components, and reference architectures for GenAI solutions
- Collaborate with product, architecture, and business teams to translate use cases into high-impact AI solutions:
- Ensure responsible AI practices, governance, and compliance alignment
- Mentor senior engineers and foster AI-first engineering culture
- Required Qualifications:
- 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training,
military experience, education
- Extensive experience in software engineering and distributed systems architecture:
- Strong programming expertise in Python (mandatory)
- Experience with agent orchestration frameworks and autonomous systems design:
- Deep understanding of:
- Context engineering:
- Prompt design and optimization:
- Memory management architectures
- Hands-on experience with:
- LLM APIs and ecosystems
- Vector databases and retrieval systems
- Experience integrating AI development tools such as:
- GitHub Copilot
- Claude Code
- Devin / similar autonomous coding agents
- Desired Qualifications:
- Experience with Google ADK or similar agent development kits:
- Expertise in multi-agent system design and coordination:
- Familiarity with enterprise AI platform design (RAG, orchestration layers, evaluation frameworks):
- Experience in banking/financial services domain (preferred)
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