Senior Software Engineer AI/Gen AI

About this role:

Wells Fargo is seeking a senior software engineer to be part of Customer Impact Management Technologies (CIMT) , TCOO organization. The Customer Impact Management Technology team is driving high-priority initiatives focused on Generative AI and AI/ML development and delivery. These efforts are central to enabling meaningful business outcomes, delivering measurable ROI, and enhancing operational performance across our organization.

We are looking for a candidate who can step into a critical role supporting these initiatives—particularly as we expand our roadmap of GenAI-powered solutions, including intelligent agents and automation capabilities. This position plays a key role in ensuring the successful delivery of projects that directly impact operations and business efficiency.

In this role, you will:

• 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

Required Qualifications:

• 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 2+ years of Gen AI frameworks and ML libraries and frameworks like: TensorFlow, PyTorch with hands on experience in building or training models, tuning hyperparameters

Desired Qualifications:

• Bachelor’s degree in computer science or equivalent
• Proficiency in Python, Java Script, AJAX, jQuery, Angular/React
• Knowledge of Gen AI frameworks (like: LangChain, LangGraph, Google ADK)
• Experience with ML libraries and frameworks like: TensorFlow, PyTorch. Hands on experience in building or training models, tuning hyperparameters.
• Experience in Generative AI technologies like Retrieval-Augmented Generation (RAG) – end-to-end pipelines (Vector DBs, chunking, embedding, retrieval, context injection) to ground LLM responses on enterprise.
• Deep understanding of microservice based distributed architecture, cloud platforms (AWS, Azure & GCP), and infrastructure-as-code.
• Strong background in Data Science and Analysis: Ability to process, clean and analyze data using statistical techniques to derive actionable insights. Knowledge of data processing tools like Hadoop, Spark
• Ability to deal in solving complex problems with ambiguous requirements, spot emerging tech trends and drive Proof of concepts or pilot solutions
• Well versed in Agile development strategies and ceremonies, Test Driven Development & DevOps practices.
• Experience in leveraging Rest/SOAP Web-APIs for integrations.
• Experience in using enterprise-wide tooling for CICD: Harness, Jenkins.
• Expertise in enterprise tools like: Ansible & observability tools (e.g., Prometheus, Grafana, ELK, Datadog), Incident Management tools like Service Now.
• Self-motivated with genuine curiosity to stay ahead of the curve by engaging in continuous learning through courses, certifications and research papers.
• Experience provisioning resources in GCP and Azure using Terraform (IaC), including secrets integration patterns with HashiCorp Vault
• Strong Kubernetes knowledge (preferably GKE) and experience hosting applications on Kubernetes platforms (GKE/OCP or similar)
• Python experience building automation, platform services, and tooling to support provisioning, operations, and developer workflows
• Establishing and maintaining coding standards and best practices.
• Making informed decisions about technologies, programming languages, and frameworks to use.
• Lead and influence the architectural and implementation decisions.
• Strong communication skills to foster effective communication at all levels
• Leading, mentoring and coaching junior members of the team
• Fostering a collaborative and innovative environment
• Conduct regular code reviews and provide constructive feedback
• Assisting with task planning estimations (act