Senior Artificial Intelligence Solutions Consultant jobs in United States
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Wells Fargo · 1 day ago

Senior Artificial Intelligence Solutions Consultant

Wells Fargo is seeking a Senior Artificial Intelligence Solutions Consultant as part of Digital Technology and Innovation. This role involves driving the adoption and delivery of enterprise AI/ML capabilities, serving as a bridge between product, engineering, and stakeholders to enhance integration of innovation into customer-facing capabilities.

BankingFinancial ServicesFinTechInsurancePayments
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Responsibilities

Lead platform releases, feature rollouts, and adoption initiatives in partnership with product and engineering teams
Architect and execute gotomarket strategies spanning onboarding, training, documentation, and ongoing support
Conduct workshops, office hours, and hands-on pair programming while maintaining selfservice resources (SDKs, guides, playbooks) to drive adoption and reduce timetovalue
Create scalable enablement assets and tailor training approaches based on a deep understanding of customer workflows and pain points
Establish tight feedback loops with end users to surface insights that shape roadmap direction, influence implementation, and drive usability improvements
Translate business problems into actionable solution architectures – partnering with platform teams on patterns, reusable accelerators, acceptance criteria, and reference architectures to standardize solution delivery
Stay current with industry trends in MLOps/LLMOps, GenAI, agentic frameworks, and cloud optimization
Build trusted relationships across business stakeholders and product teams, acting as a technical advisor who bridges strategy and execution
Communicate complex technical concepts clearly and produce executiveready updates, metrics, and narratives that support informed decisionmaking
Ensure alignment with responsible AI practices, model governance, data protection requirements, and platform security controls
Contribute documentation for validation, testing, approvals, and audit readiness in collaboration with risk, compliance, and security teams

Qualification

Artificial IntelligenceAI/ML platformsCloud technologiesMLOps/LLMOpsGenAIAgentic AITechnical product ownershipStakeholder engagementTechnical depthCross-functional leadershipCommunication skills

Required

4+ years of Artificial Intelligence experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
2+ years across product/solution management, program delivery, or technical product ownership for AI/ML platforms, or cloud-native solutions
2+ years hands-on with cloud technologies (GCP, or Azure) and container orchestration (Docker, Kubernetes/OpenShift)

Preferred

2+ years across the AI/ML lifecycle: data management, feature engineering, model development, deployment, monitoring/observability, and model risk/governance
Experience in large enterprise environments (regulated industries preferred) and building platforms at scale
Hands-on with GenAI and agentic AI (LLMs, diffusion models, RAG, tool use/agents); familiarity with OpenAI Azure, Hugging Face, LangChain/LangGraph, ADK, vector databases
Experience with MLOps/LLMOps tooling and practices (model registry, CI/CD, feature store, prompt/chain/versioning, evaluation, guardrails, monitoring)
Strong communication skills with the ability to influence senior stakeholders and simplify complex technical topics
Working knowledge of platform components and services such as Vertex AI, BigQuery, OpenShift, IBM CP4D, and large-scale distributed model execution platforms (e.g., NX1 or equivalents)
Proven ability to create and implement executive-level roadmaps and dashboards demonstrating business impact and risk posture
Excellent technical depth with the ability to dive into APIs, SDKs, security controls, data contracts, and performance profiles
Strong negotiation, stakeholder engagement, and cross-functional leadership skills

Benefits

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement
Scholarships for dependent children
Adoption reimbursement

Company

Wells Fargo

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Wells Fargo & Company is a financial services firm that provides banking, insurance, investments, and mortgage services.

Funding

Current Stage
Public Company
Total Funding
unknown
1978-10-06IPO

Leadership Team

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Charlie Scharf
CEO
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Fernando Rivas
CEO of Corporate & Investment Banking
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Company data provided by crunchbase