• Build, test, and deploy AI applications and services. • Implement data and ML pipelines and wire up retrieval-augmented generation (RAG) and agentic workflows. • Package and serve models via APIs and microservices using containers and orchestration. • Stand up and maintain cloud resources and AI platforms. • Integrate AI capabilities into applications and services. • Collaborate with data scientists, platform engineers, and product teams to iterate on use cases. • Follow responsible AI practices and security/compliance requirements.

• Design, develop, and deploy AI‑driven solutions that support and optimize revenue cycle operations • Build and maintain Python‑based pipelines for data processing, modeling, and automation • Implement and enhance OCR and computer vision solutions to extract and analyze structured and unstructured data • Apply deep learning architectures, including Vision Transformers, to image and document analysis use cases • Leverage AWS Bedrock and other cloud‑based AI services to build scalable, secure AI solutions • Collaborate with product owners, engineers, and business stakeholders to translate requirements into technical solutions • Validate, test, and refine models to ensure accuracy, reliability, and performance • Contribute to best practices for AI development, documentation, and model governance • Partner with subject matter experts to ensure AI outputs are accurate, explainable, and fit for purpose

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role is pivotal in designing, implementing, and deploying enterprise-level data management, analytics, and AI solutions. You will leverage cutting-edge technologies, including Microsoft Fabric and AI Foundry, to enhance our data capabilities. Expect to work collaboratively across various teams to ensure seamless delivery of robust and compliant solutions. Your expertise will not only contribute to our projects but also drive significant impacts in our operational effectiveness and innovation. If you're passionate about data and AI, this is your chance to make a difference in a remote-setting environment. - Design and implement enterprise-scale data management, analytics, and AI capabilities using Microsoft technologies. - Collaborate with teams to define data and AI roadmaps aligning with business objectives. - Develop reference architectures and patterns for data services and AI applications. - Shape data service standards and contribute to project planning and execution. - Provide technical leadership and mentorship to teams. - Coordinate integration with third-party systems and support vendor evaluations. Qualifications - 7+ years of experience in data engineering, analytics engineering, or AI application development. - Deep understanding of data modeling frameworks like Kimbal and Lakehouse Architecture. - Expertise in Microsoft Fabric and AI Foundry technologies. - Proficiency in SQL, Python, and KQL with experience in performance tuning. - Ability to implement retrieval-augmented generation pipelines and secure data applications. - Excellent communication skills to explain complex technical topics to diverse audiences. Benefits - Competitive salary range of $140,000 to $170,000 annually. - Work remotely with flexible hours. - Opportunities for professional development and training. - Collaborative and innovative work environment. - Access to the latest tools and technologies in the field.

• Develop and implement AI systems to solve business problems and improve efficiency. • Handle data preparation and optimize algorithms. • Integrate AI solutions into existing systems. • Collaborate with cross-functional teams. • Monitor and maintain AI models after deployment.