Enterprise architect - artificial intelligence
At MVP Health Care, we're on a mission to create a healthier future for everyone - which requires innovative thinking and continuous improvement. To achieve this, we're looking for an Enterprise Architect - Artificial Intelligence to join #TeamMVP. If you have a passion for architecting AI solutions and aligning AI capabilities with business strategy, this is the opportunity for you.
What's In It For You- Growth opportunities to uplevel your career
- A people-centric culture embracing and celebrating diverse perspectives, backgrounds, and experiences within our team
- Competitive compensation and comprehensive benefits focused on well-being
- An opportunity to shape the future of health care by joining a team recognized as a Best Place to Work for and one of the Best Companies to Work For in New York
- A Bachelor's or Master's in Computer Science, AI/ML, Data Science, or related field is preferred.
- The availability to work full-time, virtually in New York State
- 5+ years of experience in enterprise architecture, with at least 2 years focused on AI/ML.
- 5+ years of experience in cloud computing technologies with Azure experience preferred.
- Ability to articulate new ideas and concepts to technical and nontechnical audiences. Proficiency in Python, TensorFlow/PyTorch, or similar ML frameworks.
- Strong understanding of NLP, computer vision, and predictive/generative AI modeling. Experience with cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes).
- Curiosity to foster innovation and pave the way for growth
- Humility to play as a team
- Commitment to being the difference for our customers in every interaction
- Develop and maintain the enterprise AI architecture strategy aligned with business goals. Translate business requirements into AI-driven user experiences that are intuitive and accessible.
- Stay current on AI trends, emerging technologies, and industry best practices.
- Collaborate with leadership to prioritize and roadmap AI initiatives.
- Design enterprise data architectures that support AI/ML workloads and analytics.
- Ensure data governance, quality, and lineage practices are in place to support responsible AI.
- Architect scalable, secure, and high-performance AI platforms and services.
- Evaluate and integrate AI tools, frameworks, and cloud-native technologies.
- Define reference architectures and reusable components for AI development.
- Work closely with data scientists, engineers, and business stakeholders to deliver AI solutions.
- Identify and mitigate risks related to AI model bias, data privacy, and system reliability. Contribute to the AI Center of Excellence with a balanced view of governance and AI driven innovation.
- Contribute to our humble pursuit of excellence by performing various responsibilities that may arise, reflecting our collective goal of enhancing healthcare delivery and being the difference for the customer.
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