| Location | Charlotte, NC |
| Salary | $60–$65 Per Hour |
Job Title: Senior Business Analyst – Intelligent Automation (IA), GenAI & Agentic AI
Client: Wells Fargo
Location: 11625 N Community House Rd, Charlotte, NC
Work Arrangement: Hybrid – 3 days onsite per week (mandatory)
Duration: 6 months, with potential for extension and conversion to full-time employment
Interview Process: One 30-minute Microsoft Teams interview with RTM and Octavia Anderson
We are seeking an experienced Senior Business Analyst specializing in Intelligent Automation (IA), Generative AI, and Agentic AI to bridge business needs and technology solutions.
The candidate will work closely with business stakeholders, engineering teams, and automation specialists to analyze complex business processes, identify automation opportunities, and translate business requirements into technical specifications and Agile user stories.
The role requires a strong understanding of AI/ML, GenAI, multi-agent systems, and orchestration platforms such as LangChain, LangGraph, Google Agent Space, and Microsoft Copilot Studio. The candidate will support automation design, backlog management, testing, deployment, and risk mitigation while ensuring compliance with enterprise security and regulatory standards.
Intelligent Automation and Business Analysis: Experience analyzing complex business processes, gathering requirements, developing user stories, managing backlogs, and supporting automation initiatives.
GenAI and Agentic AI: Strong understanding of Generative AI, Agentic AI, multi-agent systems, and AI orchestration frameworks.
AI Engineering Collaboration: Experience leading or collaborating with engineering teams to design and implement AI/Agentic AI workflows using LangChain, LangGraph, Google Agent Space, Microsoft Copilot Studio, or similar platforms.
Regulated Environments and Agile Delivery: Experience deploying AI/ML solutions in regulated environments, with strong knowledge of Agile methodologies and enterprise software development.
Business Analysis & Automation
Collaborate with business stakeholders and technology teams to identify opportunities for intelligent automation.
Translate complex business processes into detailed functional requirements and user stories.
Create, prioritize, and groom Agile backlogs for automation delivery.
Support automation analysis, solution design, and implementation.
Generative AI & Agentic AI
Partner with engineering teams to design and implement AI-driven workflows.
Support GenAI, Agentic AI, and multi-agent orchestration initiatives.
Translate business needs into technical requirements for AI solutions.
Evaluate AI platforms and automation capabilities against business objectives.
Testing, Governance & Delivery
Coordinate automation testing and user acceptance testing (UAT).
Conduct product demonstrations and facilitate business acceptance.
Identify project risks, bottlenecks, and dependencies and recommend mitigation strategies.
Ensure solutions align with enterprise SDLC, information security, and compliance requirements.
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