At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Description: This job is...

At NVIDIA, our mission is to transform industries through the power of accelerated computing and artificial intelligence. For more than two decades, we have pioneered visual computing and redefined how technology solves the world’s most complex problems. Today, our GPUs and AI platforms empower breakthroughs in deep learning, robotics, healthcare, self-driving cars, and more. Within our global IT organization, the IT PMO acts as the Strategy & Planning Office, encouraging alignment across IT programs, portfolios, and central initiatives. We are launching a new IT Data Analytics & Insights Org to define, manage, and scale the analytics platforms, metrics, and dashboards used to measure IT efficiency. This is a Director-level position. Initially, the role will involve hands-on work, blending technical tasks with long-term vision. As the groundwork is laid, the Director will take on the task of forming and overseeing an effective team. Duties include designing...

Are you an experienced AI/GenAI engineer who loves shipping real systems with a passion for working with enterprise data? Join Stanford’s Enterprise Technology team to design, implement, and support AI solutions across university use cases. In this role, you will influence strategic direction, requirements, and architecture for AI‑driven information systems, incorporating new capabilities (LLMs, RAG, agentic frameworks, MLOps) to improve workflow, efficiency, and decision-making. You may serve as the technical lead for specific AI tracks and interrelated applications. This role blends hands-on engineering with mentorship and thought leadership. You will prototype and productionize—presenting proofs of concept, demoing solutions to stakeholders, and partnering with project managers, technical managers, architects, security, infrastructure, and application teams (ServiceNow, Salesforce, Oracle Financials, etc.) Core Duties: AI/ML System Implementation &...