• Support the creation, maintenance, and updating of business process models (BPMN 2.0) and business use cases (UML). • Document business requirements and prepare results using Confluence and Jira. • Create and maintain process documentation, overview pages, and functional profiles. • Assist in preparing workshops, recurring meetings, and stakeholder meetings, including documenting meeting outcomes and minutes. • Participate in the analysis of business processes and identify opportunities for process optimization. • Support the preparation of management presentations, decision papers, and status reports. • Conduct research on market, technology, and industry trends in the Connected Car and automotive sectors. • Assist in the development of strategy documents, roadmaps, and business cases. • Perform quality assurance on documentation and maintain project artifacts in accordance with defined modeling and documentation standards. • Support the project team in coordinating with business departments and following up on open action items.

Role Description We are seeking an experienced AI Solutions Architect to design and deliver artificial intelligence, machine learning, and generative AI solutions for state agencies, local governments, K-12 districts, and higher education systems. - Partner with public sector executives, agency leaders, CIOs, CTOs, chief data officers, program leaders, security teams, academic stakeholders, and delivery teams to translate mission and operational challenges into scalable, responsible AI-enabled solutions. - Lead solution design across areas such as: - Constituent services - Benefits administration - Permitting - Public safety support - Transportation - Workforce services - Education operations - Student services - Grants management - Contact centers - Case management - Administrative automation If you are a proven AI leader with experience in the public sector—and a passion for transformation through technology—this is an opportunity to shape the future of our business. Qualifications - Bachelor’s degree in computer science, information systems, engineering, data science, public administration, education technology, analytics, or a related field. - 8+ years of experience in technology architecture, data architecture, analytics, AI/ML, enterprise solution delivery, or public sector technology consulting. - 4+ years of experience supporting state government, local government, higher education, K-12 education, public sector agencies, or public institutions. - Hands-on experience designing AI, machine learning, generative AI, analytics, automation, or digital service solutions in production environments. - Strong understanding of SLED business and mission processes, including: - Constituent services - Program eligibility - Case management - Permitting - Licensing - Inspections - Grants - Procurement - Education administration - Student services - Contact centers - Public-facing digital services - Experience with public sector data, integration, and security considerations. - Experience with major cloud platforms such as AWS, Azure, or Google Cloud. - Familiarity with modern AI patterns such as RAG, vector databases, prompt engineering, model evaluation, MLOps, LLMOps, AI governance, model risk management, and responsible AI controls. - Ability to communicate complex technical concepts to various audiences. - Strong consulting, facilitation, problem-solving, stakeholder management, and executive presentation skills. Requirements - Bachelor’s degree in computer science, information systems, engineering, data science, public administration, education technology, analytics, or a related field. - 8+ years of experience in technology architecture, data architecture, analytics, AI/ML, enterprise solution delivery, or public sector technology consulting. - 4+ years of experience supporting state government, local government, higher education, K-12 education, public sector agencies, or public institutions. Benefits - Medical, dental, and vision insurance - Flexible spending or health savings account - Life and AD&D insurance - Short and long term disability coverage - Paid time off - Employee assistance - Participation in a 401k program with company match - Additional voluntary or legally-required benefits

Role Description We are seeking an experienced AI Solutions Architect to design and deliver artificial intelligence, machine learning, and generative AI solutions for healthcare systems, hospitals, academic medical centers, physician groups, and integrated delivery networks. This role will partner with clinical, operational, financial, digital, data, and technology leaders to translate provider business challenges into scalable AI-enabled solutions. The ideal candidate has strong knowledge of provider operations, electronic health record ecosystems, clinical workflows, healthcare data standards, cloud architecture, analytics platforms, and responsible AI practices. The AI Solutions Architect will lead solution design across areas such as: - Clinical documentation - Revenue cycle - Patient access - Capacity management - Care coordination - Population health - Quality improvement - Provider experience - Patient engagement - Supply chain - Administrative automation Location: Remote in the United States What You’ll Do - Design end-to-end AI and generative AI solutions for provider use cases, including architecture, data flows, integration patterns, model selection, workflow integration, governance, security, and deployment approach. - Partner with healthcare system stakeholders to identify high-value AI opportunities, define business outcomes, assess feasibility, and shape implementation roadmaps. - Lead solutioning for provider-specific domains such as electronic health records, clinical documentation, patient access, scheduling, revenue cycle, coding, billing, denials management, care coordination, population health, quality reporting, command centers, and patient engagement. - Develop reference architectures using cloud platforms, EHR integration services, data lakes, warehouses, lakehouses, MLOps pipelines, APIs, interoperability layers, workflow tools, and enterprise integration patterns. - Guide teams on applying large language models, retrieval-augmented generation, predictive analytics, natural language processing, computer vision, intelligent automation, and decision support in healthcare delivery settings. - Collaborate with data scientists, engineers, clinicians, informaticists, compliance teams, security architects, revenue cycle leaders, and delivery teams to move concepts from prototype to production. - Define responsible AI controls, including model monitoring, explainability, clinical safety review, human-in-the-loop validation, bias assessment, auditability, privacy, cybersecurity, and regulatory compliance. - Support pre-sales and client advisory activities, including solution presentations, proposals, estimates, demos, workshops, executive briefings, and innovation strategy sessions. - Evaluate vendor platforms and AI tools across EHR ecosystems, cloud, clinical documentation, revenue cycle, patient engagement, workflow automation, and analytics. - Create reusable assets, including provider AI solution blueprints, architecture patterns, implementation playbooks, data requirements, governance frameworks, and value case templates. Qualifications - Bachelor’s degree in computer science, information systems, engineering, data science, healthcare informatics, clinical informatics, or a related field. - 8+ years of experience in technology architecture, data architecture, analytics, AI/ML, enterprise solution delivery, or healthcare technology consulting. - 4+ years of experience supporting healthcare providers, health systems, hospitals, academic medical centers, physician groups, or integrated delivery networks. - Hands-on experience designing AI, machine learning, generative AI, analytics, or automation solutions in production environments. - Strong understanding of provider business and clinical processes, including patient access, EHR workflows, clinical documentation, care delivery, revenue cycle, quality reporting, population health, and patient engagement. - Experience with healthcare data standards and regulations, such as HIPAA, FHIR, HL7, CDA, X12, USCDI, interoperability requirements, and clinical data exchange. - Experience with major cloud platforms such as AWS, Azure, or Google Cloud, including data, AI, security, integration, and governance services. - Familiarity with modern AI patterns such as RAG, vector databases, prompt engineering, model evaluation, MLOps, LLMOps, clinical validation, and AI governance. - Ability to communicate complex technical concepts to executive, clinical, operational, financial, and technical audiences. - Strong consulting, facilitation, problem-solving, stakeholder management, and executive presentation skills. Requirements - 8+ years of experience in designing and developing AI/ML solutions. - 4+ years of experience in healthcare Provider technology, consulting, or systems integration.

Role Description We are seeking an experienced AI Solutions Architect to design and deliver artificial intelligence, machine learning, and generative AI solutions for health plan clients. This role will partner with payer executives, data leaders, and engineering teams to translate business challenges into scalable AI solutions. The ideal candidate has deep knowledge of health plan operations, payer data ecosystems, cloud architecture, analytics platforms, and responsible AI practices. This person will lead solution design across areas such as: - Member engagement - Care management - Utilization management - Claims operations - Risk adjustment - Stars - Quality - Provider network optimization - Administrative automation Location: Remote role to be located in the US. If you are a proven AI leader with deep healthcare Payer expertise—and a passion for transforming healthcare through technology—this is an opportunity to shape the future of our business. What You’ll Do - Design end-to-end AI and generative AI solutions for health plan use cases, including architecture, data flows, integration patterns, model selection, governance, security, and deployment approach. - Partner with health plan stakeholders to identify high-value AI opportunities, define business outcomes, assess feasibility, and shape implementation roadmaps. - Lead solutioning for payer-specific domains such as claims, enrollment, benefits, prior authorization, medical management, provider data, quality measures, risk adjustment, member services, and regulatory reporting. - Develop reference architectures using cloud platforms, data lakes, warehouses, MLOps pipelines, APIs, workflow tools, and enterprise integration patterns. - Guide teams on applying large language models, retrieval-augmented generation, predictive analytics, natural language processing, intelligent automation, and decision support in healthcare settings. - Collaborate with data scientists, engineers, clinicians, compliance teams, security architects, and delivery leaders to move concepts from prototype to production. - Define responsible AI controls, including model monitoring, explainability, human-in-the-loop review, bias assessment, auditability, privacy, and regulatory compliance. - Support pre-sales and client advisory activities, including solution presentations, proposals, estimates, demos, workshops, and executive briefings. - Evaluate vendor platforms and AI tools across cloud, payer technology, data management, workflow automation, and clinical operations ecosystems. - Create reusable assets, including solution blueprints, architecture patterns, implementation playbooks, data requirements, and governance frameworks. - Strengthen alliances with key partners (Epic, Oracle Health, Microsoft, AWS, ServiceNow, cybersecurity vendors, Google, Leading AI players). - Build and mentor a high-performing team of AI leaders. - Develop sales collateral for all solutions and services catering to healthcare payers. Qualifications - Bachelor’s degree in computer science, information systems, engineering, data science, healthcare informatics, or a related field. - 8+ years of experience in technology architecture, data architecture, analytics, AI/ML, or enterprise solution delivery. - 4+ years of experience supporting health plans, payers, managed care organizations, or healthcare administrative platforms. - Hands-on experience designing AI, machine learning, generative AI, analytics, or automation solutions in production environments. - Strong understanding of health plan business processes, including claims, membership, provider, utilization management, care management, quality, risk adjustment, and customer service. - Experience with healthcare data standards and regulations, such as HIPAA, FHIR, HL7, X12 EDI, CMS interoperability requirements, and payer data exchange. - Experience with major cloud platforms such as AWS, Azure, or Google Cloud, including data, AI, security, and integration services. - Familiarity with modern AI patterns such as RAG, vector databases, prompt engineering, model evaluation, MLOps, LLMOps, and AI governance. - Ability to communicate complex technical concepts to executive, clinical, operational, and technical audiences. - Strong consulting, facilitation, problem-solving, and stakeholder management skills. Requirements - 8+ years of experience in designing and developing AI/ML solutions. - 4+ years of experience in healthcare Payer technology, consulting, or systems integration. Benefits - Medical, dental, and vision insurance - Flexible spending or health savings account - Life and AD&D insurance - Short and long term disability coverage - Paid time off - Employee assistance - Participation in a 401k program with company match - Additional voluntary or legally-required benefits