What are the responsibilities and job description for the Senior Agentic AI Engineer position at wellsfargo?
Title: Senior Agentic AI Engineer
Location: Charlotte, NC (Brevard)
Duration: 12 months
Schedule: 3 days in office/2 days remote
Work Engagement: W2
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 Software Engineering. Review and analyze complex multi-faceted, larger scale or longer-term 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.
Job Expectations:
• Must be good hands-on developer and self-starter to get the ground running quickly.
• Must be able to lead a fast-track team to turn around advanced automation and AI/ML solutions
• Should be able to navigate the enterprise and rally the teams to achieve deliverables
• Should be able to co-ordinate with peers and stakeholders to identify forward looking solutions.
Qualifications:
Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
5 years of Software Engineering experience, or equivalent
4 years of hands-on experience in full stack Software (Java, .Net, Python) Enterprise Application component design and development.
4 years of hand-on experience with latest UI framework (React, Angular, Node)
2 years of AI experience in test or eval driven development including data and error analysis ensuring robust and scalable AI software.
Experience architecting and implementing agentic frameworks for autonomous multi-step reasoning and planning
Solid grasp of parsing, chunking, indexing and re-ranking
Experience with Generative AI Operations, and enterprise-scale AI adoption strategies.
Experience in enterprise AI model lifecycle management, AI compliance, and risk mitigation strategies.
Strong understanding of human centered AI design for workplace applications.
Experience with working with globally distributed teams in working in Agile scrums