[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.
Responsibilities
- Partner with stakeholders to re-engineer the high value functionality of current products and move it from on-prem to cloud
- Collaborates 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 environments
- Partners with stakeholders to create and maintain functional roadmaps for AI solutions that prioritize the highest value items while removing technical debt
- Partner with stakeholders to generate strategies for embedding AI solutions into business processes and applications, with a focus on progressive functionality deployment and modularization
- Orchestrate activities to ensure alignment of AI product architecture, software engineering and implementations across the AI product lifecycle
- Plan 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 addressed
- Manage AI integration architectures, providing AI-powered functionality with a high level of interoperability, configurability, and modularization
- Engage with partners to define marketplace deployment models, ensuring accessibility and integration with existing ecosystems
- Collaborate with Membership Experience to define and orchestrate strategies for the success of implementations of AI products with our members, including reviewing solution paths and roadmaps
- Works 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 objectives
- Collaborates with IT to define and execute strategies for production deployment of solutions, ensuring that solutions can be deployed in the preferred way of our members
- Manage the AI product architecture lifecycle end-to-end and represent it in roadmaps and collateral materials
- Support members in the identification and prioritization of AI-powered use cases to ensure integration and deployment requirements are considered
- Partner 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 possible
- Create feedback loops to understand the impact that AI-based functionality has on our members and end users and socialize the information across AF
Skills
- More than 8 years of experience in operationalization of AI models or high definition solutions, and integration with business processes and applications
- More than 6 years of experience in product architecture, product management, and systems interoperability
- Domain and industry knowledge, with deep understanding of how Insurance companies and Claims Management divisions work
- Experience with technology driven transformations and end to end AI solutions lifecycle
- Deep understanding of machine learning/AI principles and concepts, and how AI solutions integrate with existing business processes or applications
- Proficiency in road mapping, definition, and implementation of prioritization frameworks
- Expertise in cloud application solutions, API design and management, and marketplace business and deployment models
- Experience working with Agile teams, writing user stories, and grooming backlogs
- Functional knowledge of composable products with a high level of configurability
- Working knowledge and proficiency in the development of implementation and adoption plans for composable offerings, including documentation of configuration requirements
- Proficiency in the operations of a not-for-profit organization
- Knowledge of advanced data analytics platforms and visualization tools to create reports and dashboards in a self-service approach
- Working 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, Dataiku
- Proficiency in programming languages such as Python, R, or SQL
- Experience designing integrations using tools such as MS Azure API Management, Boomi, MuleSoft, and Apigee
Company Overview