Lead Software Engineer
Wells FargoAbout the role
Description
Title:Lead Software Engineer
Location: Charlotte, NC
Duration: 12 months
Work Engagement: W2
Work Schedule: Onsite
Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits
Summary:
In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Specialty Software Engineering. Review and analyze complex multi-faceted, larger scale, or longer-term Specialty Software Engineering challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel. Required Qualifications: Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
Key Responsibilities:
Lead moderately complex initiatives and deliverables within technical engineering environments
Contribute to large scale planning of strategies across Consumer Technology
Design, code, test, debug, and document applications and services including upgrades and deployments
Review technical challenges that require in depth evaluation of technologies, procedures, and engineering approaches
Resolve moderately complex issues while guiding teams to meet existing and emerging business needs
Collaborate with peers, colleagues, and mid level managers to resolve technical challenges and meet project goals
Lead projects and act as an escalation point, providing direction to less experienced engineers
Design, develop, and deploy AI applications using enterprise APIs, LLMs, agent frameworks, and related technologies
Implement prompt engineering, retrieval augmented generation, fine tuning, and agentic design patterns
Integrate LLM models with existing enterprise systems and ensure that AI solutions meet governance, security, and compliance standards
Troubleshoot complex application and model related issues and contribute to the continuous improvement of AI systems
Assist and mentor engineers in advanced software development and AI engineering practices
Stay informed of advancements in AI, LLMs, and agent frameworks and apply relevant updates to products and systems
Key Requirements:
Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
Software engineering experience or equivalent through a combination of work experience, training, military service, or education
Experience working with Generative AI, large language models, or foundation models
Experience with either GCP, Azure, Kubernetes, or OpenShift
Experience with Python
Experience with REST API development and containerization technologies such as Docker and Kubernetes
Experience using Git for source code version control, including branching, pull requests, and collaborative development workflows
Required Certifications
UI path Certified
MS Power Platform Certified
Desired Qualifications:
Understanding of cloud security principles including identity and access management, encryption, and network security in public or hybrid cloud environments
Experience working in highly regulated industries such as financial services
Experience as a technical lead or architect, including mentoring senior engineers
Experience integrating or contributing to open source AI or ML projects
Experience integrating applications with enterprise data platforms, APIs, and secure data pipelines
Strong communication and documentation skills to collaborate across engineering, product, and oversight teams
Preferred Skills and Experience:
Experience with Power Platform, including Power Apps and Dataverse
Experience with UiPath or other enterprise automation tools
Experience with LLM development using OpenAI, Anthropic, or Google Gemini models
Experience with agentic frameworks and AI workflow orchestration
Experience designing applications that incorporate retrieval augmented generation, fine tuning, and structured prompting
Experience with vector databases and retrieval systems such as Elasticsearch, OpenSearch, Pinecone, or Weaviate
Experience with LLM evaluation, observability, and monitoring including latency, cost, accuracy, grounding, drift detection, and safety assessments
Familiarity with ML lifecycle tools and processes such as feature stores, model registries, and CI or CD pipelines for AI services
Familiarity with responsible AI principles, compliance, and governance processes related to AI systems in regulated environments
Experience optimizing AI application performance including prompt efficiency, model selection, caching, batching, and cost management
Responsibilities
- Lead moderately complex initiatives and deliverables within technical engineering environments
- Contribute to large scale planning of strategies across Consumer Technology
- Design, code, test, debug, and document applications and services including upgrades and deployments
- Review technical challenges that require in depth evaluation of technologies, procedures, and engineering approaches
- Resolve moderately complex issues while guiding teams to meet existing and emerging business needs
- Collaborate with peers, colleagues, and mid level managers to resolve technical challenges and meet project goals
- Lead projects and act as an escalation point, providing direction to less experienced engineers
- Design, develop, and deploy AI applications using enterprise APIs, LLMs, agent frameworks, and related technologies
Qualifications
- Specialty Software Engineering experience or equivalent through a combination of work experience, training, military service, or education
- Experience working with Generative AI, large language models, or foundation models
- Experience with either GCP, Azure, Kubernetes, or OpenShift
- Experience with Python
- Experience with REST API development and containerization technologies such as Docker and Kubernetes
- Experience using Git for source code version control, including branching, pull requests, and collaborative development workflows
Benefits
- Health Insurance
- Life insurance
- 401K
- Voluntary Benefits
Skills mentioned
About Wells Fargo
Wells Fargo & Company (NYSE: WFC) is a diversified, community-based financial services company with approximately $1.9 trillion in assets. Wells Fargo’s vision is to satisfy our customers’ financial needs and help them succeed financially. Founded in 1852 and headquartered in San Francisco, Wells Fargo provides banking, investment and mortgage products and services, as well as consumer and commercial finance, through more than 7,300 locations, 12,000 ATMs, the internet (wellsfargo.com) and mobile banking, and has offices in over 40 countries and territories to support customers who conduct business in the global economy. With approximately 250,000 team members, Wells Fargo serves one in three households in the United States. Wells Fargo & Company was ranked No. 41 on Fortune’s 2022 rankings of America’s largest corporations. News, insights and perspectives from Wells Fargo are also available at Wells Fargo Stories. Relevant military experience is considered for veterans and transitioning service men and women. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.© 2016 Wells Fargo Bank, N.A. All rights reserved. Member FDIC.