Gen AI - Lead Software Automation Engineer

Wells Fargo & Company•Irving, TX

About The Position

About this role: Wells Fargo is seeking a... In this role, you will: Lead complex technology initiatives including those that are companywide with broad impact Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines Design, code, test, debug, and document for projects and programs Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals Lead projects, teams, or serve as a peer mentor

Requirements

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

Nice To Haves

Bachelor’s degree in computer science or equivalent
Proficiency in Python, Java Script, AJAX, jQuery, Angular/React
Knowledge of AI frameworks (like: LangChain, LangGraph)
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 analyse 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.

Responsibilities

Technical Leadership and Architecture: 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
Team Management and Mentorship: 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 (actively participate in Planning and grooming sessions)
Software Development: Writing, reviewing, and optimizing code keeping in mind risk/compliance & NFR facets
Oversee design, development, testing and deployment of software.
Proactively identifying and addressing technical blockers and system improvements
Staying current with emerging technologies and best practices to drive innovation