Collabera - Wells Fargo - Software Engineer 4 (Gen AI)

Need profiles on Collabera''s W2

Client:

Wells Fargo Visa:

USC//L2/H1T/E3/J2 220070-1

Software Engineer 4 (Gen AI)

Location:

Charlotte, NC / Irving, TX (need Local)

Duration:

18

Months Mission:

The COO Technology group delivers technology solutions for the Chief Operating Office, supporting operations, control executives, strategic execution, business continuity, resiliency, data services, regulatory relations, customer experience, enterprise shared services, supply chain management, and corporate properties. Our mission is to modernize and optimize technology platforms for these critical functions. Within COO Technology, we are seeking a Software Engineer to serve as a key technical contributor within the team. This role is responsible for designing, developing, testing, and deploying software solutions, while actively participating in all phases of the Software Development Lifecycle (SDLC), including requirements analysis, solution design, development, testing, and architectural planning. The software engineer will leverage modern technologies, including Generative AI and integration tools, to deliver scalable and innovative solutions. Success in this role requires the ability to deliver high-quality solutions aligned with business requirements in a timely manner, without compromising technical excellence. The position demands strong independent execution, as well as close collaboration with business stakeholders and technology partners to ensure alignment with enterprise standards, best practices, and strategic objectives. In this role, you will:

• Lead complex, large-scale technology initiatives, including enterprise-wide efforts with significant impact
• Contribute to the development and adoption of engineering standards and enterprise best practices for scalable and robust technology solutions
• Design, develop, test, debug, and document software applications and systems
• Analyze and evaluate complex technology solutions in support of both tactical and strategic business objectives, considering enterprise architecture and technical constraints
• Make informed technical decisions by applying industry best practices and emerging technologies, while guiding teams to deliver results and drive innovation
• Collaborate with senior technologists, subject matter experts, and external partners to resolve complex technical challenges and achieve desired outcomes
• Lead projects and teams, and provide mentorship to peers and junior engineers
• Apply both manual and automated evaluation techniques to ensure comprehensive and high-quality solution delivery Required Qualifications
• 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 5+ years of Python full-stack development, including RESTful API design (FastAPI, Flask, Django), web development frameworks, and front-end integration.
• 3+ years of experience of strong knowledge of Autosys, OpenShift (OCP), and Google Cloud Platform (or equivalent Cloud) environments.
• 3+ years of experience with CI/CD tools and Identity Access Management.
• 1+ years of experience with GenAI stack. Desired Qualifications
• Familiarity with Google AI Development Kit (ADK) or equivalent Microsoft AI frameworks for enterprise-grade GenAI solutions like Autogen, Semantic Kernel
• Familiarity with enterprise AI governance and responsible AI frameworks
• Experience with Eval frameworks
• Experience using LLM-as-a-Judge for scalable assessments.
• Expertise in numerical libraries such as NumPy, Pandas, and experience building data-driven applications with robust performance and scalability.
• Familiarity with Postgre

SQL, ETL

processes, and S3 data handling.

• Experience with GenAI stack including LangChain, LangGraph, and LangSmith for building agentic workflows, vector databases, React-based agents, multi-agent orchestration systems and Model Context Protocol (MCP)
• 3+ years of Financial Industry experience
• Excellent problem-solving and analytical skills
• Strong communication and collaboration abilities
• Ability to work independently and as part of a team Job Expectations
• Willingness to work on-site at stated location on the job opening
• This position offers a hybrid work schedule