Senior AI Architect, IT at UPMC

, , United States -

Full Time

Start Date

Immediate

Expiry Date

08 Jun, 26

Salary

0.0

Posted On

10 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Solution Development, Data Science, Security, Cloud, Integrations, Healthcare IT, Strategy Alignment, Best Practices Creation, Use Case Piloting, Stakeholder Collaboration, Model Selection, Model Training, Model Deployment, Continuous Monitoring, ML Workflows, Deep Learning Workflows

Industry

Hospitals and Health Care

Description

Purpose: The Senior AI Architect position requires a high degree of technical expertise in at least 2 relevant domains such as AI solution development, data science, security, cloud, integrations, Healthcare IT or similar. As a Senior AI Architect, you will be challenged with aligning the AI strategy with the business strategy of multiple projects and/or department initiatives. You will lead the creation of best practices, policies, procedures, and other applicable AI documentation. You will collaborate with data scientists and other AI professionals to augment digital transformation efforts by identifying and piloting use cases. You will align technical implementation with existing and future requirements by gathering inputs from multiple stakeholders — business users, data scientists, security professionals, data engineers and analysts, and those in IT operations. Fully Remote Opportunity! Must be able to work eastern standard time. Responsibilities: The AI architect role spans the life cycle of AI solution development. The following paragraphs summarize the key responsibilities at each AI development stage. Develop Business Case - The AI architect works with business stakeholders and business owners to develop the architecture needed and clearly define the outcomes and success metrics. Data Discovery - The AI architect must work with information/data architects, analytics team members and data scientists to identify and make available the data required. In addition, the AI architect must be sensitive to the data’s privacy, security and compliance issues. Model Selection- Depending on the business outcome sought, the AI solution development team will need to select the right foundation model to deliver the services needed. The AI architect will support the identification of the foundation model and ensure that it can address the needs of the business architecture. Model Training and Testing-The AI architect must work with stakeholders from across the IT organization to ensure that the right environment and computing resources are available for training and testing. This extends to ensuring that the data needed for testing and training is made available to the development team. The AI architect also supports the development of a training and testing plan, as well as the analysis of results and opportunities for improvement. Model Deployment- The AI architect will work with business and IT stakeholders to develop a roll-out plan for the AI solution. Continuous Monitoring- The AI architect will support the development of the monitoring plan and participate in the governance model if needed. Bachelor's Degree in a related field with 10 years of relevant work experience OR 14 years total relevant work experience. Holds deep technical mastery and business knowledge across multiple technology domains. Strategic thinking and analytical skills with demonstrated ability to combine broad technical, business, clinical and political factors. Has a broad background implementing different architectures to meet differing needs. Strong written and verbal communication skills and possesses good presentation skills. Demonstrated ability to direct the implementation of diverse technologies in a complex organization. Diplomacy and interpersonal skills to lead others to provide inputs for the purpose of sharing with customers, partners, and higher management on vision and need for key technologies. Demonstrated experiences innovating beyond the state of the art. Maximizing technical efficiency and setting technical direction. MUST HAVES: Understand the workflow and pipeline architectures of ML and deep learning workloads. An in-depth knowledge of components and architectural trade-offs involved in data management, governance, model building, deployment and production workflows of AI. Demonstrates a good understanding of product management, agile principles and development methodologies Translates business and technical requirements into an architectural blueprint to achieve business objectives; documents all AI solution architecture design and analysis work Supports the development and delivery of data strategy for AI solution training, testing and deployment Creates architectural designs to guide and contextualize AI solution development across products, services, projects and systems, including applications, technologies, processes and information Leads evaluation, design and analysis for the implementation of an AI solutions architecture across a group of specific business applications or technologies, based on enterprise business strategies, business capabilities, value streams, business requirements and enterprise standards. Develops data management strategies for AI model development, training and deployment Articulates the business impact of AI solutions that translate technical performance into business success metrics Deliver presentation skills to relevant stakeholders and technical audiences Demonstrates a broad background implementing different architectures to meet differing needs. Experience in software development and coding in various languages (C#, .NET, Java etc.) PREFERRED: Healthcare IT experience preferred. Has a Healthcare Payers knowledge of business and processes Deliver presentations to senior-level executives Experience with such AI techniques as natural-language processing (NLP); computer vision; deep learning tools, such as PyTorch, TensorFlow and AI/ML; libraries, such as GitHub and Hugging Face Licensure, Certifications, and Clearances: N/A UPMC is an Equal Opportunity Employer/Disability/Veteran

Responsibilities

The AI Architect is responsible for leading the creation of AI best practices and aligning AI strategy with business strategy across multiple projects, collaborating with data scientists to pilot use cases and augment digital transformation efforts. This role spans the entire AI solution life cycle, from developing the business case and data discovery to model selection, training, deployment, and continuous monitoring.