Role Description Gainwell Technologies is seeking a highly skilled AI Engineer to design, develop, and deploy advanced AI solutions, including Generative AI (GenAI), across our healthcare technology platforms. This role involves building and optimizing AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards. - AI Model Development: Design and build AI Solutions that use machine learning models, including GenAI, NLP, and predictive analytics solutions for healthcare applications. - End-to-End AI Solution Deployment: Develop, test, and deploy AI solutions in cloud and on-premise environments, ensuring reliability, scalability, and real-world impact. - Data Engineering & Processing: Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards. - System Integration: Implement and optimize AI solutions within Gainwell’s existing technology stack, collaborating with engineering teams to ensure seamless integration. - Performance Optimization: Continuously monitor, refine, and optimize AI solutions for accuracy, efficiency, and speed, leveraging MLOps best practices. - AI Research & Innovation: Stay updated with the latest AI/ML advancements, exploring new technologies and methodologies to enhance solution effectiveness. - Compliance & Security: Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards. - Automation & Workflow Enhancement: Identify opportunities to automate workflows and optimize business processes using AI-driven solutions. Qualifications - Master’s or Ph.D in Computer Science, AI, Data Science, or a related field. - 5+ years of experience in AI/ML engineering, with a focus on developing and deploying AI solutions. - Hands-on expertise in production operations involving machine learning, deep learning and GenAI. - Strong programming skills in Python, AI Agent Frameworks (Langchain, Crew.ai), TensorFlow, PyTorch, and other AI frameworks. - Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization, and inference efficiency. - Experience with cloud platforms (AWS, Azure, or GCP) and MLOps for scalable AI deployments. - Proficiency in working with big data technologies (Spark, Hadoop, SQL, NoSQL databases). - Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions. - Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus. Requirements - Fully Remote Opportunity – Work from anywhere in the U.S. - Minimal Travel Required – Occasional travel opportunities (0-10%). - Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment. - Video cameras must be used during all interviews, as well as during the initial week of orientation. Benefits - Generous, flexible vacation policy. - 401(k) employer match. - Comprehensive health benefits. - Educational assistance. - Leadership and technical development academies to help build your skills and capabilities.

Role Description The Lead Data Engineer analyzes, develops, and maintains complex logical data designs in support of corporate and customer information system requirements. Through proper data design and governance, this role maintains and monitors the use of standards and procedures and the integration of systems. This individual contributes to the enterprise architecture as a representative of data design and governance. Our ideal candidate uses expert specialist skills and knowledge to define and deliver data solutions and to contribute to the development and implementation of IT plans in line with the overall strategy of IT and the business. - Provides vision, leadership, and strategic direction on data management and enterprise information management and leads & coaches junior Data Engineers. - Defines, develops, and delivers consistent information and data standards, methodologies, guidelines, best practices, and approved modeling techniques on data/information management, data quality, and data governance. - Designs enterprise data architecture, including conceptual architectures for solution strategies, for data stores supporting transactional processing, data warehouses, operational data stores, data marts, and analytics. - Provides assistance and guidance to the development team regarding data model, SQL, and Stored procedures, including code review of complex SQL and Stored procedures and performance tuning as needed by development teams. - Develops data models as required by project teams. - Collects, maintains, and publishes corporate metadata related to the modeling in an enterprise asset repository. - Simplifies the existing data architecture and data architecture SDLC process, delivering reusable services and cost-saving opportunities in line with the policies and standards of the group. - Utilizes skills with the appropriate tools and business requirements to model entity relationships, multi-dimensionality, subject areas, state transitions, data flows and integrations, and reference data. - Leads the design, development, implementation, and maintenance of complex data systems and solutions ensuring technology solutions are in alignment with data architecture principles and target state. - Creates and maintains accurate, complete, and consistent governed conceptual, logical, and physical data models with lineage and implementation traceability metadata. - Responsible for source to target mapping where business rules are clearly documented and defined. Qualifications - Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field. - 7 years’ experience with data warehousing, including 5 years’ experience with relational modeling. - 7+ years of SQL development. - Experience with DLM and Enterprise Platforms for managing data movement. - Thorough understanding of the insurance industry (including claims processes, how attribution works, and the core business concepts of insurance). - Understanding of Scrum and Agile development practices. - Proven data governance and information management experience. - Strong interpersonal communication and follow-through skills and demonstrated initiative in autonomous environments. - Experience with database technologies (e.g., SQL, NoSQL, Snowflake, and Data Lake design). - Experience with ETL and other business intelligence tools. - Experience analyzing, organizing, and preparing data for use through the development of proprietary systems. - Experience designing multi-dimensional data models using Kimball Methodology. - Very effective interpersonal skills. Requirements - Master’s degree in Business Administration, Computer Science, Information Systems, or a related field of study. - 3 years’ experience in the healthcare industry. - 7+ years in IT. - Ability to lead, guide, motivate, and direct the work of others. - Experience with source to target mapping where business rules are clearly documented and defined. - Highly technical with hands-on experience using Python, or JVM language (Java, Scala, Clojure, or Kotlin). - Experience implementing, managing, and developing in Apache Airflow or other orchestration tools. - Experience implementing data solutions in a major cloud provider (Azure, AWS, or GCP). - Experience with semi-structured formats (Avro, Parquet, ORC, YAML, JSON, or XML). - Experience with MDM Implementation. - Experience with MDM Tools (Informatica, Profisee, or similar). - Experience implementing Kafka, Schema Registry, and Kafka Streaming and/or Spark Streaming. - Experience with Microsoft Azure. - Experience with Apache Airflow and Celery. - Experience with Docker, Kubernetes, and Terraform. - Experience with Snowflake or Synapse. - Experience with Informatica IDQ, EDC, IICS, and Axon. - Experience with Scala, Python, and Java. - Experience with NodeJS and React. - Experience with Azure Data Lake Storage Gen2. - Experience with cloud platforms such as Azure, AWS. Benefits - Highly competitive total rewards package, including comprehensive medical, dental, and vision benefits as well as a 401(k) plan that both the employee and employer contribute. - Annual incentive bonus plan based on company achievement of goals. - Time away from work including paid holidays, paid time off, and volunteer time off. - Professional development courses, mentorship opportunities, and tuition reimbursement program. - Paid parental leave and adoption leave with adoption financial assistance. - Employee discount program. Company Description Blue Cross and Blue Shield of Kansas City is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, or disability.

• Own 1–4 concurrent migration projects end-to-end: scoping, planning, execution, and customer handoff • Be the primary customer contact: run weekly check-ins, manage stakeholder expectations, and escalate risks early before they compound • Configure Datafold's Migration Agent and oversee the migration execution • Partner with Datafold's engineering team to execute migrations • Help refine and scale our product and delivery playbook as the team grows

Role Description The Data Entry Specialist is responsible for accurately inputting patient information into Sharecare’s internal systems and client Electronic Medical Record (EMR) platforms. This role requires keen attention to detail, efficient data management, and strict adherence to HIPAA compliance standards, supporting the Release of Information (ROI) process. The ideal candidate thrives in a fast-paced, collaborative environment, demonstrating a strong commitment to accuracy, productivity, and the protection of sensitive patient data. - Accurately enter and update patient data in internal and client-facing systems - Access and navigate multiple EMR platforms to retrieve, validate, and process patient health information (PHI) - Ensure data accuracy and consistency while meeting productivity benchmarks - Maintain strict confidentiality and comply with HIPAA and company privacy policies - Collaborate with team members to support process improvements and service quality - Provide courteous, timely, and professional communication with internal and external stakeholders as needed Qualifications - Proficiency in Microsoft Office applications - Strong organizational and multitasking skills essential - Demonstrated ability to manage time effectively and meet task deadlines - Willingness to learn programs and processes quickly - Strong documentation, communication, and customer service skills - Self-motivated, dependable, and able to work independently or as part of a team - Proven ability to maintain productivity, utilization, and quality performance standards Requirements - Ability to sit or stand for extended periods of time - Physical capacity to lift and carry 25 lbs. - Manual dexterity sufficient for long periods of typing, writing, and handling documents - Visual acuity to read documents and use a computer monitor - Clear speaking and hearing ability for communication - Adequate hand-eye coordination and sensory abilities for job-related tasks HIPAA/Compliance - Maintain the confidentiality of patient and client information - Comply with HIPAA standards and all relevant corporate integrity and security obligations - Report unethical, fraudulent, or illegal behavior - Maintain current HIPAA certification annually Company Description Sharecare is a digital healthcare company that delivers software and tech-enabled services to stakeholders across the healthcare ecosystem to help improve care quality, drive better outcomes, and lower costs. Through its data-driven AI insights, evidence-based resources, and comprehensive platform – including benefits navigation, care management, home care resources, health information management, and more – Sharecare helps people easily and efficiently manage their healthcare and improve their well-being.