[Remote] Artificial Intelligence Engineer

Note: The job is a remote job and is open to candidates in USA. Envision is a company focused on leveraging emerging technologies and Artificial Intelligence in the insurance claims process. The AI Product Architect will be responsible for designing and implementing AI-powered solutions, collaborating with various stakeholders to enhance product functionality and ensure seamless integration within the claims management ecosystem.ResponsibilitiesPartner with stakeholders to re-engineer the high value functionality of current products and move it from on-prem to cloudCollaborates in the development of strategies and roadmaps for the sunsetting, refactoring, or redefinition of current functionality in new AI-based architectures on cloud or hybrid environmentsPartners with stakeholders to create and maintain functional roadmaps for AI solutions that prioritize the highest value items while removing technical debtPartner with stakeholders to generate strategies for embedding AI solutions into business processes and applications, with a focus on progressive functionality deployment and modularizationOrchestrate activities to ensure alignment of AI product architecture, software engineering and implementations across the AI product lifecyclePlan AI-based initiatives, including timeframes and deliverables, and work closely with Advanced Analytics, IT, Marketing, Operations, and AI Innovation to ensure capacity is reserved and obstacles that derail delivery are addressedManage AI integration architectures, providing AI-powered functionality with a high level of interoperability, configurability, and modularizationEngage with partners to define marketplace deployment models, ensuring accessibility and integration with existing ecosystemsCollaborate with Membership Experience to define and orchestrate strategies for the success of implementations of AI products with our members, including reviewing solution paths and roadmapsWorks closely with software engineers, AI and data engineers, IT, and other stakeholders to understand requirements and define scalable APIs that meet user needs and business objectivesCollaborates with IT to define and execute strategies for production deployment of solutions, ensuring that solutions can be deployed in the preferred way of our membersManage the AI product architecture lifecycle end-to-end and represent it in roadmaps and collateral materialsSupport members in the identification and prioritization of AI-powered use cases to ensure integration and deployment requirements are consideredPartner with AI QA Engineers and IT QA Testers to ensure that there are test cases to cover integrations and that test scripts are automated when possibleCreate feedback loops to understand the impact that AI-based functionality has on our members and end users and socialize the information across AFSkillsMore than 8 years of experience in operationalization of AI models or high definition solutions, and integration with business processes and applicationsMore than 6 years of experience in product architecture, product management, and systems interoperabilityDomain and industry knowledge, with deep understanding of how Insurance companies and Claims Management divisions workExperience with technology driven transformations and end to end AI solutions lifecycleDeep understanding of machine learning/AI principles and concepts, and how AI solutions integrate with existing business processes or applicationsProficiency in road mapping, definition, and implementation of prioritization frameworksExpertise in cloud application solutions, API design and management, and marketplace business and deployment modelsExperience working with Agile teams, writing user stories, and grooming backlogsFunctional knowledge of composable products with a high level of configurabilityWorking knowledge and proficiency in the development of implementation and adoption plans for composable offerings, including documentation of configuration requirementsProficiency in the operations of a not-for-profit organizationKnowledge of advanced data analytics platforms and visualization tools to create reports and dashboards in a self-service approachWorking knowledge of cloud services (MS Azure, AWS) and data platforms (Azure ADF, Databricks)Experience with AI tools, such as MS Azure AI Foundry, Azure ML, Snowflake Cortex AI, DataikuProficiency in programming languages such as Python, R, or SQLExperience designing integrations using tools such as MS Azure API Management, Boomi, MuleSoft, and ApigeeCompany OverviewEnvision expertise in recruiting and staffing augmentation services such as direct-hire, contract to hire and right to hire. It was founded in 1983, and is headquartered in St Louis, Missouri, USA, with a workforce of 201-500 employees. Its website is http://www.envision.com/.