Wells Fargo

Bilingual

• Participate in delivery of exceptional customer experience by building relationships through proactive outreach
• Assist customers with basic requests related to opening new accounts, completing service requests, and submitting credit applications
• Develop understanding of bank products and services to connect to customers' needs
• Interact with customers to demonstrate care and build relationships
• Provide appropriate options for bank products and services to customer
• Refer customers' financial needs to other bankers and partners as needed

Personal Banker, Bilingual

Account Manager

• Lead the execution of the LatAm international banks coverage strategy
• Translate regional macro, regulatory, and competitive dynamics into actionable client strategies and multi‑year relationship roadmaps
• Serve as the senior point of contact for C‑suite and treasury leadership at priority banks
• Own relationship planning, calling, pipeline management, and wallet‑share growth across targeted FI clients
• Originate and lead FI‑relevant financing and capital markets transactions
• Coordinate seamlessly with various departments to deliver integrated solutions
• Lead credit strategy and partner closely with Portfolio Management for assigned FI relationships
• Act as a peer mentor to developing bankers and analysts

Senior Lead Corporate Banking Relationship Manager

Manager

• Coach, develop and build a high performing team to execute on business strategies, achieve results, and drive growth of the business; This includes coaching bankers to engage customers to understand their needs and work proactively to build relationships and help customers succeed financially
• Resolve low to moderately complex issues regarding the customer and employee experience, risk, and growth of the team and the business to meet Branch Network business objectives
• Identify opportunities for making banking easier for customers through education and demonstration of available digital options to support adoption and customer convenience
• Lead the branch while engaging stakeholders, peers, and internal partners in collaborating and building strong partnerships to deliver a customer-centric experience
• Mentor and guide talent development of direct reports and assist in hiring talent

Branch Manager

Human Resources

• Oversee the HR team supporting Enterprise Functions & Technology organizations
• Provide strategic partnership to the Operating Committee Members for Technology, Finance, Strategy, Risk, Legal, Audit, Public Affairs
• Lead the HR strategy and delivery for approximately 60,000 employees
• Serve as a trusted advisor and thought partner to senior business leaders
• Shape and execute human capital strategies that accelerate business performance
• Elevate leadership capability and strengthen organizational culture and engagement
• Proactively mitigate risk
• Champion change and transformation across the firm
• Develop and mentor talent, including HR professionals
• Drive enterprise-minded outcomes along with proper mitigation of employment risks.

Senior Executive, Human Resources – Enterprise Functions & Technology

Engineering Manager

• Manage, coach, and develop a team or teams of engineering managers and experienced engineers in Generative AI to build use cases and foundational platform capabilities
• Ensure adherence to the Banking Platform Architecture, and meeting non-functional requirements with each release
• Partner with, engage and influence architects and experienced engineers to incorporate Wells Fargo Technology technical strategies, while understanding next generation Generative AI domain architecture
• Enable Generative AI target architecture, cloud readiness , and data strategy
• Function as the technical representative for the product during cross-team collaborative efforts and planning
• Identify and recommend opportunities for driving escalated resolution of technology roadblocks including code, build and deployment while also managing overall software development cycle and security standards
• Determine appropriate strategy and actions to act as an escalation partner for scrum masters and the teams to meet moderate to high-risk deliverables and help remove impediments, obstacles, and friction while encouraging constant learning, experimentation, and continual improvement
• Build Generative AI engineering skills side-by-side in the codebase, conduct peer reviews to evaluate quality and solution alignment to technical direction, and guide design, as needed
• Interpret, develop and ensure security, stability, and scalability within functions of technology with moderate complexity, as well as identify, manage and mitigate technology and enterprise risk
• Collaborate with, partner with and influence Product Managers/Product Owners to drive user satisfaction, influence technology requirements and priorities in the product roadmap, promote innovative and intelligent solutions, generate corporate value and articulate technical strategy while being a solid advocate of agile and DevOps practices
• Interact directly with third party vendors and technology service providers
• Manage allocation of people and financial resources to ensure commitments are met and align with strategic objectives in technology engineering
• Hire, build and guide a culture of talent development to have the specialized domain experience and skills required to effectively design and deliver innovative solutions for product areas and products to meet business objectives and strategy, as well as conduct performance management for engineers and managers
• Own production readiness & Day‑2 operations for existing GPU environments and new H100/H200 clusters (capacity planning, scheduling, quota isolation, autoscaling, failover, instrumentation, reporting, adoption).
• Build and govern the AI Gateway (API/SDK) for core services (authN/Z, rate limiting, quotas); enforce semantic versioning, deprecation windows, and SLA management.
• Scale observability & evaluations platforms on‑prem and in cloud.
• Lead agentic AI capabilities (Agent/Tool Marketplace, Workflow Designer, Desktop); scale the registry of tools/agents/ref apps, governance metadata (provenance/versioning), and execution flows.
• Enable multi‑cloud/hybrid architecture & region strategy with consistent runtimes, artifacts, and operational tooling.

Senior Engineering Manager – Generative AI Platform Capabilities, Core, GPU

• Coach, develop and build a high performing team to execute on business strategies, achieve results, and drive growth of the business
• Resolve low to moderately complex issues regarding the customer and employee experience, risk, and growth of the team
• Identify opportunities for making banking easier for customers through education and demonstration of available digital options
• Lead the branch while engaging stakeholders, peers, and internal partners in collaborating and building strong partnerships
• Mentor and guide talent development of direct reports and assist in hiring talent

Backend Engineer

• Develop and enhance quantitative models to measure key ALM metrics—including Net Interest Income (NII), interest rate risk, liquidity risk, and related enterprise risk indicators.
• Perform forecasting and margin analysis, generating insights on net interest margin (NIM) dynamics across scenarios, portfolios, and economic environments.
• Integrate pricing and risk analytics by collaborating closely with partner quant teams to ensure ALM models incorporate consistent assumptions, methodologies, and valuation frameworks.
• Implement production‑ready models within an industrial‑strength analytics library, ensuring robustness, scalability, and adherence to development and governance standards.
• Partner effectively with business stakeholders, quantitative teams, technology groups, and project managers to ensure successful deployment and ongoing support of ALM models in production environments.
• Continuously assess and improve model development processes, identifying opportunities for efficiency, transparency, and methodological enhancements.

Senior Python Lead – Securities Quantitative Analytics Specialist

Full-stack Engineer

• Lead complex Generative AI initiatives and deliverables within technical domain environments
• Contribute to large scale planning of strategies
• Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
• Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
• Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
• Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
• Lead projects and act as an escalation point, provide guidance and direction to less experienced staff
• Engineer GPUs clusters and node pools; configure NVLink/NVSwitch, NVIDIA GPU Operator, MIG profiles, container runtime, and kernel/driver baselines for high‑throughput LLM/SLM workloads.

Senior Software Engineer, LLM Inferencing, AI Gateway

• Manage, coach, and develop a team(s) of experienced engineers and engineering managers in roles with high/moderate complexity and risk, responsible for building high quality capabilities with modern technology
• Ensure adherence to the Banking Platform Architecture, and meeting non-functional requirements with each release
• Partner with, engage and influence architects and experienced engineers to incorporate Wells Fargo Technology technical strategies
• Function as the technical representative for the product during cross-team collaborative efforts and planning
• Identify and recommend opportunities for driving escalated resolution of technology roadblocks including code, build and deployment
• Manage overall software development cycle and security standards
• Determine appropriate strategies and actions to act as an escalation partner for scrum masters and the teams
• Build engineering skills side-by-side in the codebase, conduct peer reviews to evaluate quality and solution alignment to technical direction
• Ensure security, stability, and scalability within functions of technology with moderate complexity, as well as identify, manage and mitigate technology and enterprise risk
• Collaborate with Product Managers/Product Owners to drive user satisfaction, influence technology requirements and priorities in the product roadmap
• Interact directly with third party vendors and technology service providers
• Manage allocation of people and financial resources to ensure commitments are met and align with strategic objectives in technology engineering
• Hire, build and guide a culture of talent development to have the skills required to effectively design and deliver innovative solutions for product areas

Senior Software Engineering Manager

Risk

• Provide independent oversight of counterparty risk across Prime Services and FCM (Futures Commission Merchant) activities, including futures, cleared swaps, and exchange‑traded derivatives.
• Partner with the clearing business and operations, prime services business, liquidity management, and sales teams to understand business strategies and key risk drivers.
• Review and advise on risk‑taking decisions, margin practices, client onboarding, and exposure management.
• Define and present FCM and Prime Services risk metrics—such as VaR, stress testing, and liquidity risk measures—to senior leadership and risk committees.
• Support regulatory examinations and internal audits through preparation of documentation, detailed analysis, and formal responses.
• Maintain and enhance risk governance frameworks, reporting processes, and procedures across client clearing businesses.
• Lead enhancements to counterparty credit risk methodologies, including exposure modeling, margin analysis (SPAN, VaR‑based, and CCP methodologies), and stress‑testing frameworks.
• Identify emerging market, liquidity, and concentration risks and escalate them through appropriate governance channels.
• Represent Prime Services and FCM Risk in enterprise risk forums, model governance reviews, stress‑testing working groups, and new product approval processes.
• Partner with technology and data teams to strengthen exposure analytics, reporting capabilities, and data quality supporting cleared derivatives risk management.
• Lead and coordinate risk engagement during market stress events, ensuring timely exposure assessment, escalation, and senior‑level communication.
• Mentor and guide junior risk officers, contributing to team development and strengthening overall risk culture within ECRM.

Senior Lead Market Risk Officer – Prime Services, Futures Commission Merchant Risk Management

• Lead complex technology initiatives including those that are companywide with broad impact
• Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines
• Design, code, test, debug, and document for projects and programs
• Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
• Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
• Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
• Lead projects, teams, or serve as a peer mentor
• Engineer GPU clusters and node pools; configure NVLink/NVSwitch, NVIDIA GPU Operator, MIG profiles, container runtime, and kernel/driver baselines for high-throughput LLM/SLM workloads.
• Design and implement OpenAI-compatible APIs (Responses, Interactions) behind the AI Gateway: define OpenAPI contracts, authN/Z (OAuth2/mTLS), rate limits/quotas, SLAs, versioning/deprecation, and SDK generation.
• Build and support MCP servers and tool adapters; manage agent/tool identity and capability metadata; integrate with agent registries and execution flows.
• Develop Agentic AI capabilities (tools/agents/workflows) including disaggregated prefill/decode patterns; contribute to runbooks, guardrails, and safe tool usage.
• Build UI surfaces (developer/ops consoles) for endpoint onboarding, prompt testing, evaluations, observability dashboards, and incident response workflows.
• Apply prompt engineering and evaluation best practices; create golden test suites, regression harnesses, and measurable SLO-aligned criteria for production promotion.

Lead Software Engineer – Gen AI Inferencing Services, Agentic AI

Engineer

• Lead the end‑to‑end strategy and operations of enterprise GPU platforms
• Design and evolve GPU architecture across on‑premises and cloud environments
• Guide POCs through production readiness
• Oversee Day‑2 operations for large‑scale, multi‑cloud deployments
• Act as an advisor to leadership to develop GPU buildout
• Lead the strategy and resolution of complex challenges
• Translate technology experience into engineering solutions
• Provide vision and expertise to leadership
• Maintain knowledge of industry best practices and recommend innovations
• Strategically engage with professionals and managers across the enterprise
• Design and implement GPU cluster topologies and networking

Principal Engineer – GPU, LLM Infrastructure

Content Marketing Manager

• Own and evolve the product vision and roadmap for the Content Assembly Agent, ensuring it supports all campaign assembly needs.
• Define and prioritize the agent backlog, translating marketing, compliance, and operational requirements into epics, user stories, and clear, testable acceptance criteria for content assembly logic, rules, and outputs.
• Partner closely with engineering, AI/ML analytics, and design teams to deliver capabilities such as modular content composition, variation handling, template resolution, and channel‑specific rendering.
• Lead the development of assembly logic and orchestration contracts that enable the agent to consume inputs from upstream systems (creative libraries, offers, disclosures, personalization signals) and produce structured, activation‑ready outputs.
• Ensure enterprise‑grade reliability, observability, and quality by supporting SLAs, telemetry, prompt and output logging, regression testing, and evaluation harnesses focused on content accuracy, completeness, and policy adherence.
• Embed Responsible AI and governance controls into the Content Assembly Agent, including human‑in‑the‑loop review workflows, explainability of assembly decisions, and alignment with model risk management, privacy, and PII standards.
• Collaborate with Marketing, Legal/Compliance, Risk, and InfoSec partners to ensure assembled content consistently meets brand, regulatory, and channel‑specific requirements in a regulated environment.
• Drive continuous discovery and feedback loops with campaign managers, marketing operations, and platform users.
• Define and track product success metrics, including content reuse, time‑to‑launch, defect and rework rates, compliance pass rates, and downstream campaign performance.
• Foster a strong agile discipline that inspires teams to continuously improve delivery evidenced through key agility metrics.
• Build frameworks for complex decision making that enable effective debate and accelerate getting to the right answer

Lead Digital Product Manager – Content Assembly Agent

• Lead complex technology initiatives including those that are companywide with broad impact
• Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines
• Design, code, test, debug, and document for projects and programs
• Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
• Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
• Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
• Lead projects, teams, or serve as a peer mentor

Personal Banker, Bilingual

Senior Lead Corporate Banking Relationship Manager

Branch Manager

Branch Manager

Senior Executive, Human Resources – Enterprise Functions & Technology

Senior Engineering Manager – Generative AI Platform Capabilities, Core, GPU

Branch Manager

Senior Python Lead – Securities Quantitative Analytics Specialist

Senior Software Engineer, LLM Inferencing, AI Gateway

Senior Software Engineering Manager

Senior Lead Market Risk Officer – Prime Services, Futures Commission Merchant Risk Management

Lead Software Engineer – Gen AI Inferencing Services, Agentic AI

Principal Engineer – GPU, LLM Infrastructure

Lead Digital Product Manager – Content Assembly Agent

Lead Software Engineer – AI Gateway, Agentic AI