Senior Staff Engineer, AI Governance

Responsibilities

• Design, develop, and maintain scalable and reliable AI governance service.
• Apply robust architectural principles to create effective and efficient solutions.
• Work closely with interdisciplinary teams, including data scientists, product managers, and legal experts, to ensure compliance of AI systems with ethical standards and regulatory requirements.
• Develop an advanced Responsible AI platform utilizing the latest Generative AI technology.
• Address the evolving challenges in AI governance, ensuring the creation of responsible and trustworthy AI solutions.
• Investigate and assess emerging technologies and third-party solutions, prototyping and strategizing their integration within Visa.

Qualifications

• Basic Qualifications: 8+ years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience.
• Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD MS or Ph.D. degree in Computer Science, Engineering, or related field. 10+ years’ work experience in the software technology industry. Experience in software development, big data, and machine learning processes. Experience in all phases of development - the design, coding, testing, debugging, deployment, and monitoring of applications. Experienced with high-performance imperative languages including Python, Java, Golang, React.js, Next.js Built predictive models using Python and ML libraries and managed their lifecycle, from development to production. Experienced Big data and distributed computing platforms such as Hadoop, Spark, Docker, Kubernetes, and Airflow. Experience working in an agile environment. Evaluate vendor and opensource software, write proof of concepts and design new systems. Present ideas and share with other architects and brainstorm ideas. Build and deliver products with self-effort, without supervision and work with junior members in accomplishing our goals. Experience in ML, AI and Generative AI model and applications development. Strong understanding of agentic frameworks such as LangChain, LangGraph, AutoGen, CrewAI, etc. Experience with OpenAI or Anthropic or Llama models and developing applications that leverage its capabilities. Familiarity with Retrieval-Augmented Generation (RAG) techniques. Hands on experience with Pre-Training, Fine-Tuning, Reinforcement Learning. Understanding of Model Bias, Fairness, Model Explainability and Model Drift. Prior experience in Google Cloud Vertex AI, AWS SageMaker or Azure Machine Learning Studio is a plus. Previous experience in mentoring and leading engineering teams.

Pay

The estimated salary range for this position is $192,200.00 to $ 307,700.00 USD per year, which may include potential sales incentive payments (if applicable).

Schedule

Variates based on department needs. Travel Requirements: 5-10% of the time. Mental/Physical Requirements: Will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.