Prinicipal Engineer

Wells Fargo

Required skills

Website: wellsfargo.com
Job details:
About This Role

Wells Fargo is seeking a Principal Engineer.
We are seeking a highly skilled and experienced Automation Principal Engineer to lead our automation initiatives.
The ideal candidate will have a deep understanding of automation frameworks, tools, and best practices, along with a proven track record of designing and implementing complex automation solutions.
This role involves leading technical projects, mentoring junior engineers, and collaborating with cross-functional teams to drive automation strategies that enhance efficiency and productivity.

In This Role, You Will

Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups
Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions
Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions
Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization
Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership

Required Qualifications

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

Additional Required Qualifications

Expertise in automation tools and frameworks (e.g., Selenium, Jenkins, Ansible, Terraform).
Proficiency in programming languages such as Python.
Strong understanding of CI/CD pipelines and DevOps practices.
Experience with cloud platforms (e.g., Azure, Google Cloud).
Experience designing and deploying Agentic (Autonomous and MultiAgent Systems) AI/ML models in production environments
Machine Learning Algorithms, Techniques and frameworks (Ex: TensorFlow, PyTorch, scikit-learn)
Proficiency in implementing solutions by using Deep Learning, Reinforcement Learning and Natural Language Processing (NLP), and Anomaly detection algorithms
Expertise in Data Preprocessing, feature Engineering and Data Manipulation
Ability to stay current with the latest advancements in AI/ML and integrate cutting-edge techniques into projects
Strong Python experience with APIs, distributed systems and cloud platforms.
Hands-on experience with LLM frameworks (LangChain, LlamaIndex, Open SDKs, etc.,)
Experience in prompt engineering, RAG architecture and tool-use patterns
Experience building multi-agent systems
Familiarity with vector databases (Pinecone, Weaviate, etc.,)
Design, build and maintain scalable ETL/ELT pipelines
Develop batch and real-time data processing workflows
Implement data validation, monitoring and lineage tracking
Strong SQL skills and experience with relational databases

Job Expectations

Lead AI & ML Automation Initiatives : Design and Implement Agentic AI and Machine Learning models to automate complex business processes, improve operational efficiency and drive innovation
Lead Automation Projects: Design, develop, and implement automation frameworks and tools for various applications and systems. Create and execute strategies for integrating AI & ML solutions into existing automation frameworks, ensuring alignment with organizational goals.
Technical Leadership: Provide technical guidance and leadership to engineering teams, ensuring best practices and high-quality code and apply findings to develop state-of-the-art automation solutions.
Strategy Development: Develop and execute automation strategies aligned with company goals and objectives.
Collaboration: Work closely with product managers, software engineers, and other stakeholders to gather requirements and deliver automated solutions.
Mentoring: Mentor and support junior engineers, fostering a culture of continuous improvement and learning, lead cross-functional teams in the development and deployment of AI driven automation projects.
Performance Monitoring: Establish and monitor key performance indicators (KPIs) to measure the effectiveness of automation solutions.
Troubleshooting: Identify, diagnose, and resolve complex automation issues and performance bottlenecks.
Documentation: Create and maintain detailed documentation for automation processes, tools, and best practices.

Reference Number

R-524963 Click on Apply to know more.

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