Gen AI - Lead Software Automation Engineer

Wells Fargo & Company•Irving, TX

About The Position

Wells Fargo is seeking a Lead Software Automation Engineer with expertise in Generative AI to drive technical strategy and implementations for AI/ML initiatives within the I&O Automation space. This role involves leading complex technology initiatives, establishing best practices, and mentoring junior team members. The engineer will be responsible for the design, development, testing, and deployment of software solutions, ensuring adherence to risk and compliance standards. The position emphasizes staying current with emerging technologies and fostering a collaborative, innovative environment.

Requirements

5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
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.
Strong communication skills to foster effective communication at all levels.

Responsibilities

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.
Establish and maintain coding standards and best practices.
Make informed decisions about technologies, programming languages, and frameworks to use.
Lead and influence architectural and implementation decisions.
Lead, mentor, and coach junior members of the team.
Foster a collaborative and innovative environment.
Conduct regular code reviews and provide constructive feedback.
Assist with task planning estimations (actively participate in Planning and grooming sessions).
Write, review, and optimize code keeping in mind risk/compliance & NFR facets.
Oversee design, development, testing, and deployment of software.
Proactively identify and address technical blockers and system improvements.
Stay current with emerging technologies and best practices to drive innovation.