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Wells Fargo is seeking a Senior Software Engineer – Intelligent Automation, GenAI and Agentic AI to design, build, and deploy end-to-end intelligent automation solutions by combining RPA, workflow platforms, Generative AI, and Agentic AI technologies. The role requires strong engineering fundamentals and hands-on experience integrating automation platforms with modern LLMs and AI agent frameworks across cloud-agnostic environments (Google, Microsoft, AWS, or equivalent).
Job Responsibility:
Lead moderately complex initiatives and deliverables within technical domain environments
Contribute to large scale planning of strategies
Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
Lead projects and act as an escalation point, provide guidance and direction to less experienced staff
Requirements:
4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
4+ years of experience in enterprise software engineering
Strong hands-on experience with Intelligent Automation and RPA tools (UiPath) equivalent
Hands-on expertise in low-code/no-code solutions using Microsoft Power Platform, including Power Apps, Power Automate, and Power BI dashboard design and preparation
End-to-end automation lifecycle experience including design, development, testing, deployment, and maintenance
Hands-on programming expertise in Python or equivalent, object oriented/functional languages for building and integrating AI-driven solutions with appropriate design patterns, SOLID principles hands-on experience with Generative AI concepts including prompt engineering, RAG patterns, and LLM integration
Experience working with LLM platforms such as Google Vertex AI, Azure OpenAI, AWS Bedrock, or equivalent
Agentic AI development experience using frameworks such as LangChain, LangGraph, Google ADK, Semantic Kernel, or similar
Experience integrating solutions using REST APIs, databases, message queues, and enterprise systems
Preferred Certifications - RPA and lowcode/nocode certifications (UiPath, Power Automate, Microsoft Power Platform), GenAI or LLM certifications, Cloud AI certifications (Google, Microsoft, AWS), or equivalent industry recognized credentials
Good to have any vector DB such as Azure AI search/Pinecone/FAISS index
Good to have: Kubernetes, docker and Helm
Strong understanding of AI agent orchestration, including building multi-agent systems, memory, and reasoning patterns
Strong software engineering fundamentals including AI/LLMOps, version control, CI/CD, and secure coding practices
Ability to design scalable, maintainable, and resilient enterprise solutions
Nice to have:
Vector DB such as Azure AI search/Pinecone/FAISS index