Senior Software Engineer - Gen AI

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Desired Qualifications:

• Proven experience designing and scaling enterprise GenAI platforms and AI-driven products.
• Strong expertise in Agentic AI, multi-agent systems, RAG architectures, Knowledge Graphs, and long-term memory frameworks.
• Experience architecting model orchestration solutions, including model routing, selection, fallback, and optimization strategies.
• Proficiency with GenAI frameworks including LangGraph, LangChain, AutoGen, MCP, or equivalent orchestration technologies.
• Deep understanding of LLMOps, AI platform engineering, CI/CD automation, and production-grade AI deployments.
• Hands-on experience with cloud AI platforms such as Azure OpenAI, AWS Bedrock, and Google Vertex AI.
• Strong proficiency in Python with experience building services using frameworks such as Fast MCP, FastAPI & Flask. 
• Experience developing and integrating with REST APIs, asynchronous services, and event-driven architectures. 
• Expertise in vector databases, graph databases, embeddings, semantic search, and retrieval technologies.
• Strong cloud-native engineering background with Kubernetes, microservices, containers, and distributed systems.
• Experience establishing AI observability, monitoring, evaluation, resiliency, and reliability practices.
• Knowledge of AI security, responsible AI, governance, privacy, and regulatory requirements.
• Understanding of token economics, AI cost optimization, usage forecasting, and platform efficiency strategies.
• Experience designing reusable APIs, SDKs, and developer frameworks that accelerate enterprise adoption.
• Experience in working on relation database like Oracle, MS SQL Server, etc.
• Experience with automated testing with Playwright, performance testing, code reviews, and CI/CD practices. 
• Experience building secure, scalable, maintainable applications aligned with enterprise platform standards. 

Job Expectations:

• Lead moderately complex initiatives and deliverables within technical domain environments

• Design, build, and maintain AI-enabled applications using React, TypeScript, Python, and modern API frameworks. 

• Develop  frontend applications aligned with enterprise UI standards and reusable component patterns. 

• Build and maintain Python backend services, APIs, MCP services, and integration layers using frameworks such as MCP, FastAPI & Flask. 

• Design, implement, and integrate with MCP servers and MCP clients that enable secure context sharing between models, tools, applications, and agent runtimes. 

• Develop and support agentic workflows that execute complex, multi-step tasks using frameworks such as LangChain Deep Agents, Google ADK, or similar agent frameworks. 

• Build skill-based and modular agents that decompose capabilities into reusable, composable, and versioned skills. 

• Build reusable components, services, tool schemas, and integration patterns that can be shared across enterprise AI applications. 

• Integrate logging, tracing, and observability frameworks, including Arize & Splunk compatible logging and agent observability tooling. 

• Ensure applications and services are ready for deployment on enterprise container platforms such as OpenShift or Kubernetes. 

• Collaborate with AI developers, platform engineers, product teams, and architecture partners to deliver robust and scalable AI solutions. 

Posting End Date: 

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace.  Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.