AI Architect

Job Description

? Lead the technical solutioning process for all AI-related projects, ensuring alignment with business objectives, architectural standards, and the overall AI/ML strategy.

? Define and maintain the architectural vision and roadmap for AI solutions, incorporating best practices, emerging technologies, and the evolving needs of the Healthcare IT domain.

? Design end-to-end AI solutions, including data ingestion, processing, model development, deployment, and monitoring, with a focus on scalability, reliability, and security.

? Work closely with business stakeholders to understand requirements and translate them into technical specifications, while also contributing to the overall strategic direction of AI initiatives.

? Collaborate with data scientists, engineers, and other technical experts to ensure successful project execution, providing technical guidance and mentorship throughout the development lifecycle.

? Develop and maintain comprehensive documentation of AI solutions, including architecture diagrams, design specifications, and implementation guidelines, to facilitate knowledge sharing and collaboration.

? Evaluate and recommend AI technologies, platforms, and tools to support the organization’’s AI initiatives, with a focus on leveraging Google Cloud Platform (GCP) services where appropriate.

? Provide technical guidance and mentorship to project teams, fostering a culture of innovation, excellence, and continuous improvement.

? Lead proof-of-concept (POC) projects to validate the feasibility and value of proposed AI solutions, ensuring that they align with the organization’’s strategic goals.

? Ensure that AI solutions are scalable, secure, and compliant with relevant regulations and standards, including HIPAA and other Healthcare IT requirements.

? Stay abreast of the latest trends and advancements in AI and related fields, and proactively identify opportunities for innovation and competitive advantage.

? Work with US and Thryve leaders to provide project status, risk assessment, and strategic recommendations, ensuring that stakeholders are informed and aligned on project goals and timelines.

? Effectively communicate complex technical concepts to both technical and non-technical audiences, fostering collaboration and alignment across the organization.