Senior AI Engineer

About this role:

Wells Fargo is seeking a Senior AI Engineer

In this role, you will:

• AI, LLM & Agent Development

• Build and deploy LLM-powered applications using commercial and open-source models
• Design and implement Retrieval Augmented Generation (RAG) pipelines
• Create AI agents that reason over structured (graph) and unstructured data
• Define and implement tool-use patterns for agents (function calling, API tools, memory tools)
• Apply strong prompt engineering techniques for reliability, safety, and performance

• Graph, Vector & NLP Systems

• Design and manage knowledge graphs using Neo4j
• Model complex relationships and optimize graph queries (Cypher)
• Implement semantic search using vector databases
• Apply NLP concepts such as embeddings, entity extraction, classification, summarization, and similarity search

• MCP & AI Platform Engineering

• Set up and operate Model Context Protocol (MCP) servers
• Register datasets, APIs, and tools for secure LLM access
• Enable scalable, observable, and governed LLM interactions

• Python, APIs & Backend Services

• Build AI microservices using Python (FastAPI / Flask)

• Integrate and consume internal and external APIs within AI workflows
• Develop pipelines for ingestion, embedding generation, indexing, and retrieval

• Model Evaluation & Optimization

• Evaluate LLM and NLP models using qualitative and quantitative techniques
• Measure and monitor performance (accuracy, latency, cost, hallucinations)
• Continuously iterate on prompts, retrieval strategies, and model configurations

Required Qualifications:

• 6+ years of AI Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• Strong hands-on experience with Python, Spark, Scala
• Experience with Deep Learning frameworks (PyTorch, TensorFlow, or equivalent)
• Solid understanding of NLP concepts and modern language modeling techniques
• Practical experience with LLMs, prompt engineering, and agent-based systems
• Hands-on with Neo4j or other graph databases
• Experience using vector databases for similarity search and embeddings
• Experience with MCP server setup or LLM tool orchestration frameworks
• Strong experience working with REST APIs, function calling, and tool integrations
• Knowledge of model evaluation and monitoring techniques
• Familiarity with Git and CI/CD pipelines

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• Nice to Have

• Experience with LangChain, LlamaIndex, Semantic Kernel, or similar frameworks
• Cloud experience (Azure preferred AWS/GCP welcome)
• Experience with Docker and Kubernetes
• Knowledge of knowledge graphs, ontologies, or semantic systems
• Exposure to AI governance, security, or responsible AI practices

Job Expectations:

• Bachelors or Masters degree in Computer Science, Engineering, AI/ML, or related field
• Experience delivering enterprise-scale AI or data platforms

Posting End Date:

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 units 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.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our 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.