Submitting more applications increases your chances of landing a job.
Here’s how busy the average job seeker was last month:
Opportunities viewed
Applications submitted
Keep exploring and applying to maximize your chances!
Looking for employers with a proven track record of hiring women?
Click here to explore opportunities now!You are invited to participate in a survey designed to help researchers understand how best to match workers to the types of jobs they are searching for
Would You Be Likely to Participate?
If selected, we will contact you via email with further instructions and details about your participation.
You will receive a $7 payout for answering the survey.
Job Description Summary
Job Description
RESPONSIBILITIES
Defining Vision and Strategy for AI platforms, align with overall business objectives, Identify key stakeholders and secure executive sponsorship, develop a clear mission statement and goals
Responsible for Implementing AI platforms and solutions, while adopting agile methodologies for AI projects, Proof of Concepts (POCs) and Points of View (POVs) Implement iterative development and continuous improvement, Ensure clear communication and stakeholder engagement
Conduct activities to explore new use cases, evaluate emerging generative AI models and frameworks, and drive innovation. Foster collaboration and knowledge sharing among different teams and departments working with generative AI, ensuring consistency and alignment across the organization.
Establish clear objectives and governance processes for managing priorities, risks, with a strategic foresight and cross-functional collaboration with business units. define reporting lines and decision-making processes, Engage steering committee for oversight
Stay Informed on industry AI/AI Trends, attend industry conferences, consortiums and standards bodies and workshops, engage with AI communities and forums, engage with AI startups and technology providers, foster partnerships and collaborations.
Establishing a framework for measuring Key Performance Indicators (KPIs) for AI implementations, such as business impact metrics, operational metrics (e.g., process efficiency, time saved), Innovation metrics (e.g., new products/services developed)
Develop future AgentOps, LLM/LLMOps capability, operating model, function services related to monitoring, measuring and optimizing. Operationalize LLMOps function and drive continuous improvement
Align with organizational/EDM data strategy and management principles, develop data collection and preparation processes, Ensure data quality, security, and compliance for AI solutions
Minimum Requirements
Familiarity with architecting and developing complex AI applications
Experience with NLP, FMs, LLMs, and other AI/GenAI models
Experience with cloud computing platforms like AWS or Microsoft Azure. Understanding of how to deploy LLMs to cloud/ on-premises and use APIs, Agents to build solutions.
Familiarity with the development of model lifecycles e.g. AgentOps, MLOps. LLMOps
Programming such as Python, R, SPARK, SQL, NLP libraries, AI tools like BERT
IT Strategy & Planning ,Influencing and persuading, Managing resources, Priority & goal setting and Quality decision making
Implement Enterprise AI platforms adhering to organizational responsible AI practices, conduct regular ethical impact assessments, implement explainable AI techniques, Establish processes for human oversight and intervention
Ensure compliance with data privacy and security, implement robust data protection measures, Collaborate with Information security to conduct regular security audits and vulnerability assessments
Develop change management strategies for AI adoption, document successful implementations and lessons learned, create reusable components and templates, establish processes for scaling solutions across the organization
Evaluate and select appropriate generative AI tools and platforms, Integrate AI solutions with existing systems and workflows, develop custom solutions when necessary
Promote the adoption and effective utilization of generative AI across the organization, while mitigating potential risks and ensuring compliance with relevant regulations and policies
Serve as a hub for knowledge sharing, learning, and support training related to generative AI technologies and applications.
Why Novartis?
Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us!
Learn more here:
https://www.novartis.com/about/strategy/people-and-culture
Commitment to Diversity and Inclusion:
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here:
https://talentnetwork.novartis.com/network
Skills Desired
You'll no longer be considered for this role and your application will be removed from the employer's inbox.