Want to leverage the power of AI/ML to innovate and reinvent the future? Our team will give you the platform to do amazing things. 

As a Strategy Lead in the Strategic AI Governance & Enablement team, you’ll be responsible for overseeing the integration of AI into production environments, ensuring that they are scalable, reliable, and user-friendly. Additionally, you will ensure that each project follows the Risk Management & Compliance (RM&C) AI/ML Lifecycle, with agreed upon roles and responsibilities across technology teams and business units.

Job Responsibilities

Develop and implement strategies for integrating AI models into existing and new applications, while ensuring that integration processes align with business goals and technical requirements Partner with data scientists to understand the models being developed and application development team to understand functionality to drive operational testing and validation Collaborate with software engineers, product managers, data science and other stakeholder teams to ensure seamless integration of AI solutions Oversee the technical aspects of AI model deployment, including API development, microservices architecture, and cloud infrastructure; monitor and troubleshoot issues related to model integration and deployment Leverage strong project management skills to ensure each project follows the defined lifecycle, with agreed upon roles and responsibilities across technology teams and business units Stay updated on the latest advancements in AI and integration technologies Propose and implement improvements to integration and governance processes and tools Guide training and resources to employees on AI governance, ethical considerations, and best practices while fostering a culture of continuous learning and improvement Execute governance frameworks and processes to ensure effective oversight of the LLM lifecycle. Produce reporting and MIS for program governance forums, senior management, and wider stakeholder groups

Required Qualifications, Capabilities, And Skills

Bachelor’s degree in Computer Science, Software Engineering, or a related field and 7 years applicable experience Proven experience in integrating AI models into production environments Strong background in software engineering and development lifecycle Experience with cloud platforms such as AWS, Azure and programming languages such as Python Experience with RESTful APIs, and microservices architecture Understanding of machine learning concepts and algorithms Well organized, detail oriented, process driven and able to work systematically Strong project management skills, with the ability to coordinate between multiple teams Familiarity with Agile and Scrum methodologies Excellent communication skills to convey technical concepts to non-technical stakeholders