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Senior Lead AI Solutions Consultant – GenAI, Agentic Transformation Delivery Lead
Wells Fargo. Identify high-value opportunities for Generative AI, Agentic AI, and intelligent automation .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading the design and implementation of Generative AI and Agentic AI solutions, with a strong focus on operational readiness, risk management, and cross-functional collaboration. Proven ability to develop and execute AI product roadmaps that deliver measurable business outcomes and align with organizational strategies.
Highest-signal resume keywords
Generative AI Solutions LeadershipAgentic AI Product DevelopmentAI Operating Model DesignCross-Functional Team AlignmentExecutive-Level Communication
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Artificial Intelligence SolutionsAI Product Roadmap ExecutionAI Quality ControlsData IntegrationWorkflow OrchestrationTask MiningBehavioral AnalyticsDigital Twin PlatformsModern AI/ML ArchitecturesRisk Controls
Soft Skills
Stakeholder InfluenceConsensus-BuildingTrusted-Advisor SkillsMentoring
Tools & Technologies
SKAN.aiAI Lifecycle FrameworksHuman-in-the-Loop Controls
Industry Keywords
Operational TransformationGovernanceComplianceChange Management
About the role
Key responsibilities & impact- Identify high-value opportunities for Generative AI, Agentic AI, and intelligent automation
- Analyze business processes, user workflows, data, and operational pain points to determine AI value
- Assess feasibility, risk, scalability, reuse, and develop quantified business cases
- Translate business needs into AI solution concepts, requirements, success measures, and implementation roadmaps
- Lead end-to-end design of AI and agentic solutions, including workflow orchestration, data integration, human-in-the-loop controls, reusable tools, and enterprise connectivity
- Partner with engineering, architecture, data, product, risk, and operations teams to prototype, build, and refine solutions
- Resolve requirements, design, integration, and implementation challenges during development
- Define and coordinate functional, AI quality, controls, user acceptance, resiliency, and production-readiness testing
- Guide solutions through AI, model, technology, privacy, security, and change-management requirements
- Lead deployment into business workflows, including operational readiness, adoption, documentation, training, support, and production transition
- Monitor post-deployment solution performance and business outcomes and drive optimization
- Develop reusable agent skills, tools, integrations, solution patterns, and delivery playbooks
- Manage the Agentic AI roadmap, including intake, prioritization, sequencing, dependencies, investment needs, and milestones
- Align the Agentic AI roadmap with product, data, automation, and operational-transformation strategies
- Advise executive stakeholders on delivery progress, risks, investments, and realized value
- Lead and mentor forward-deployed engineers and cross-functional delivery teams
- Follow applicable risk, compliance, governance, and operational requirements
Requirements
What you’ll need- 7+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through work experience, training, military experience, or education
- Proven experience leading enterprise-scale Generative AI and Agentic AI products, including autonomous workflows, reasoning systems, and tool-integrated agents with measurable business outcomes
- Ability to design and implement AI operating models, lifecycle frameworks, governance, and risk controls in highly regulated environments
- Experience leveraging task mining, behavioral analytics, or digital twin platforms such as SKAN.ai
- Track record of defining and executing enterprise AI product roadmaps
- Ability to align cross-functional teams across technology, data, AI/ML, and operations
- Proven end-to-end product delivery leadership and executive liaison experience
- Ability to quantify and communicate ROI for AI investments
- Deep understanding of modern AI/ML architectures, including LLMs, RAG, and agent frameworks
- Executive-level communication, consulting, stakeholder influence, consensus-building, and trusted-advisor skills
- Ability to work on site under Wells Fargo’s standard operating model in the listed location
- Ability to travel up to 10% of the time
- Not eligible for visa sponsorship
Benefits
Comp & perks- Robust benefits
- Competitive compensation
- Programs designed to support work-life balance and well-being
- Community investment opportunities
- Career growth and development support
- Hybrid work schedule: 3 days on-site and 2 days remote
- Equal opportunity employment
- Medical accommodations during recruitment or interviews
- Drug-free workplace