Senior Specialty Software Engineer

We are seeking a Senior Specialty Software Engineer to spearhead the integration of Generative AI into our Cyber Security Architecture and Engineering division. This role requires a pragmatic software generalist with a deep understanding of computer systems, networking, and stream processing. You will lead a team in developing state-of-the-art Python-based AI applications that leverage LLMs, embeddings, and semantic search to enhance our security posture, automate threat detection, and streamline architectural compliance.

In this role, you will:

• Lead or participate in complex initiatives on selected domains
• Assure quality, security and compliance for supported systems and applications
• Serve as a technical resource in finding software solutions
• Review and evaluate user needs and determine requirements
• Provide technical support, advice, and consultation with the issues relating to supported applications
• Create test data and conduct interfaces and unit tests
• Design, code, test, debug and document programs using Agile development practices
• Understand and participate to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives
• Conduct research and resolve problems in relation to processes and recommend solutions and process improvements
• Assist other individuals in advanced software development
• Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals
• Lead team to achieve objectives
• Partner with production support and platform engineering teams effectively
• AI Security Innovation: Lead the design and development of full-stack AI proof-of-concept (POC) applications specifically for cyber security use cases, such as automated vulnerability mapping and intelligent log analysis.
• Production Engineering: Guide the transition of AI components from initial POC to hardened, production-ready security tools.
• Architecture & Mentorship: Promote quality engineering practices and provide technical mentorship to junior developers within the security domain.
• System Integration: Design and manage complex data pipelines using Kafka and the ELK Stack to ingest and process massive telematics and security data streams.
• Cloud Infrastructure: Architect and deploy secure, scalable microservices using Openshift, Kubernetes, and Cloud Run, ensuring robust container orchestration.
• Demonstrate proficiency in using AI-assisted development and analysis tools (e.g., GitHub Copilot and approved code-centric agents)
• Leverage AI to accelerate system design, coding, testing, analysis, and troubleshooting
• Apply strong technical judgment when validating and integrating AI-assisted outputs into solutions
• Understand and account for model limitations, security risks, and operational considerations
• Apply AI responsibly in development and production environments
• Ensure AI usage aligns with security, compliance, privacy, and ethical standards, * Expert Python Development: Mastery of Python-based web frameworks including Flask (Quart) and FastAPI for building high-performance APIs., 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.

• 4+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education, * Generative AI & Search: Proven experience leveraging embeddings, generative AI models, and advanced search techniques to prove business value.
• Data Management: Deep knowledge of both SQL and NoSQL environments, including PostgreSQL, MySQL, Google Datastore, and BigQuery.
• DevOps & Infrastructure: Experience with Terraform, Ansible, and GitHub Actions for managing infrastructure as code across GCP and AWS.
• Security-Minded Backend: Background in building RESTful and GraphQL APIs with a focus on loose coupling and high performance for large-scale usage.

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy (https://www.wellsfargojobs.com/en/wells-fargo-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.