Customer Solution Architect

🕒 vor 16 Tagen

🇺🇸 Vereinigte Staaten – Remote

⏰ Vollzeit

🟠 Senior

🔴 Experte

💻 Lösungsingenieur

👻 Geisterscore 14%

Was es bedeutet: wie wahrscheinlich diese Stelle offen bleibt, ohne dass aktiv eingestellt wird.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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eSimplicity

WebsiteLinkedInAlle Stellen

51 - 200 Mitarbeiter

Gegründet 2016

💼 Beratung

🏥 Gesundheitswesen

⚕️ Krankenversicherung

Consulting • Healthcare • Healthcare Insurance

eSimplicity ist ein Unternehmen aus Designern, Ingenieuren und Strategen, die sich darauf spezialisiert haben, die Komplexität zu durchdringen, um preisgekrönte Produkte und Dienstleistungen zu schaffen. Das Unternehmen konzentriert sich auf die Verbesserung der Kundenerfahrung, die Gesundheit und das Leben von Millionen zu fördern und Amerika zu schützen. eSimplicity ist führend im Bereich Healthcare IT und bietet Lösungen, die die Gesundheitsversorgung und den Zugang für Millionen verbessern, sowie ein effektives Identitätsmanagement für Gesundheitsdienstleister sicherstellen. Sie nutzen Data Science, Machine Learning und Künstliche Intelligenz in verschiedenen Anwendungen, von digitalen Modernisierungen in Gesundheitssystemen bis hin zum Spektrummanagement für Telekommunikation in Regierungsbehörden wie der Air Force und der Navy. eSimplicity verpflichtet sich seiner Mission, indem es kontinuierlich innoviert und sich anpasst, um den Bundes-IT-Sektor und Beratung nachhaltig zu beeinflussen.

Beschreibung

• Own technical solution requirements for enterprise-wide data-driven information systems • Create technical designs, product and vendor selections, application architectures, and technical architectures • Provide technology and platform subject matter expertise and lead technical decision processes • Own complex technology implementations and continuously reengineer and refactor systems • Align technical design and architecture with business growth and direction • Contribute to product roadmaps, backlogs, success criteria, and user stories • Maintain systems and solutions architecture for large data processing and reporting systems • Design complex data, data-centric application, and Big Data cloud architecture solutions • Develop solutions using Agile, AnalyticOps, DataOps, and DevSecOps hyper-automation methodologies • Lead continuous innovation and improvement for projects or programs • Serve as final-tier subject matter expert while remaining directly engaged in execution • Collaborate with the program Chief Architect and potentially augment the Deputy Chief Architect role for AI implementation and adoption • Lead and manage individuals and teams through coaching, mentoring, 1:1 meetings, and career growth support • Configure enterprise platforms involving AI feature management, governance, and model orchestration • Maintain full-lifecycle AI governance frameworks covering policy, risk, bias/fairness, audit logging, transparency, immutability, and compliance • Integrate platforms with CI/CD pipelines, identity/access controls, APIs, repositories, and monitoring systems • Implement secure enterprise deployment models for PII/PHI, access control, and authorization • Train teams and customer end users, develop onboarding and adoption materials, and lead workshops • Build consensus among data science, DevSecOps, compliance, business, and end-user stakeholders • Evaluate and recommend generative AI, LLM, and agentic frameworks • Design, prototype, and iterate AI agent workflows and proofs of concept • Track emerging generative AI and agentic technologies, tools, vendors, and practices • Perform other duties as assigned

🎯 Anforderungen

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Math, or another related scientific or technical discipline • Alternatively, ten years of general information technology experience and at least four years of specialized experience; degree not required • Minimum 10 years leading system architecture of complex cloud-based Data Pipeline and Analytics systems • 6+ years of hands-on data-centric software development and complex architecture design experience • Strong software engineering experience with engineering best practices and iterative/continuous engineering principles • Experience with Databricks, Hadoop, EMR, Spark, Redshift, or similar technologies • Experience applying AI/ML technologies, including generative AI, LLMs, or model orchestration, within enterprise-scale architectures • Experience with data augmentation, data quality analysis, data analytics, data profiling, data algorithms, data maturity models, and data strategy • Experience designing secure data solutions involving PHI and PII and associated governance • Experience collaborating with customers and stakeholders to present solutions and drive adoption • Experience designing cost-optimized, scalable cloud solutions • Experience resolving architecture issues affecting scalability and performance of large-scale systems and datasets • Experience with rapid prototyping and greenfield project creation • Experience aligning consensus across multiple interested or affected groups • Diverse, outcomes-driven consulting experience across client environments • Experience with Atlassian Jira and Confluence • Excellent verbal and written communication • Experience working in an Agile or SAFe environment • Ability to obtain and maintain a Public Trust • Must reside in the United States • Desired: Medicare, Medicaid, healthcare, commercial insurance, or CMS experience • Desired: Databricks, Python, R, and/or AWS certifications • Desired: Applied AI outcomes with meaningful and measurable improvements or planned outcomes • Desired: AI/ML architecture design and implementation certifications or training • Desired: Generative AI application development or deployment, including LLM integration, prompt engineering, RAG, and agentic workflows • Desired: AI orchestration and vector database tooling such as LangChain, LlamaIndex, Bedrock, Azure OpenAI, Vertex AI, or Pinecone • Desired: Experience evaluating or piloting MCP, A2A, or similar AI agent protocols and standards • Expected availability from 9:00 AM to 5:00 PM Eastern unless otherwise directed

🏖️ Vorteile

• Medical coverage • Dental coverage • Vision coverage • 401(k) retirement benefits • Paid time off • Paid holidays • Life insurance • Disability insurance • Wellness and employee support programs • Remote work environment • Hybrid work environment • Occasional travel estimated at less than 5-10% per year