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Lead AI Platform Architect- R
Lead AI Platform Architect- RBrillio • Jersey, New Jersey, USA
Lead AI Platform Architect- R

Lead AI Platform Architect- R

Brillio • Jersey, New Jersey, USA
7 days ago
Job type
  • Full-time
Job description

About Brillio :

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital renowned for its world-class professionals referred to as Brillians distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.

Brillio takes pride in its status as an employer of choice consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary groundbreaking technologies and exclusive digital projects. Brillios relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work certification year after year.

Consultant

Primary Skills

  • Cloud Migration Solution Architecture - GCP GCP RDS Azure DNS GCP Fundamentals Cloud IoT Apigee API Management GCP PaaS Services Cloud SQL No SQL GCP Migrate for Compute Engine GCP Networking

Job requirements

Role Overview

  • We are seeking a highly experienced Lead Architect to drive enterprise-grade cloud Generative AI Platform initiatives in the Healthcare Payer and PBM (Pharmacy Benefit Management) space. This role demands a unique combination of technical leadership domain knowledge and client-facing communication skills. You will be instrumental in architecting and driving implementation of scalable secure and cost-optimized GenAI-powered systems and modern test automation pipelines using cloud services(AWS & Azure)
  • Key Responsibilities

  • Lead solution architecture and implementation for healthcare payer clients with a focus on PBM systems claims management benefits configuration and eligibility workflows.
  • Design cloud-native generative AI solution platforms on AWS and Azure with an emphasis on performance scalability resilience and cost efficiency.
  • Serve as a strategic technical advisor in client engagements translating business requirements into technical solutions.
  • Architect and drive implementation of GenAI-enabled systems particularly RAG (Retrieval-Augmented Generation) patterns for knowledge-based services.
  • Collaborate with product engineering UX and QA teams to embed UX-driven test automation frameworks using Python and JavaScript.
  • Understand architectural governance standards and best practices for multi-region multi-cloud deployments.
  • Stay ahead of the curve on regulatory compliance in healthcare (HIPAA HITRUST) data privacy and security controls.
  • Required Skills and Competencies

    Domain Expertise

  • Understanding of the Healthcare Payer ecosystem including claims adjudication EDI workflows member / provider systems and payer-provider data exchange models.
  • Proven experience in PBM systems including formulary management prior authorization and medication adherence workflows.
  • Cloud and Systems Architecture

  • 5 years of experience in architecting solutions on AWS and / or Azure with proficiency in :
  • IAM EC2 Lambda S3 ECS RDS Redshift (AWS)
  • App Services Azure Functions Cosmos DB Azure DevOps (Azure)
  • Familiarity with cost modeling and optimization in cloud environments.
  • Strong foundation in microservices event-driven architecture and API management.
  • Software Engineering and Automation

  • Hands-on expertise in Python and JavaScript for platform development and scripting.
  • Experience with modern test automation frameworks that are UX-focused (e.g. Cypress Playwright).
  • Ability to drive the design of CI / CD pipelines and integration of quality assurance into release workflows.
  • Generative AI & Advanced Systems

  • Strong knowledge of GenAI platforms including RAG patterns vector databases prompt engineering and LLM lifecycle management.
  • Understanding of how AI can be applied in clinical decision support prior authorization automation and member engagement.
  • Soft Skills

  • Strong client-facing communication and stakeholder management capabilities.
  • Adept at cross-functional collaboration and leading matrix teams across technology product and business groups.
  • Thought leadership and mentoring of technical teams.
  • Preferred Qualifications
  • Bachelors or Masters degree in Computer Science Engineering or a related field.
  • AWS / Azure certifications (e.g. AWS Solutions Architect Professional Azure Solutions Architect Expert).
  • Experience working with FHIR HL7 EHR integrations or healthcare interoperability frameworks.
  • Prior involvement in enterprise AI / ML strategy or innovation programs in healthcare.
  • $80 - $90 an hour

    Equal Employment Opportunity Declaration

    Brillio is an equal opportunity employer to all regardless of age ancestry colour disability (mental and physical) exercising the right to family care and medical leave gender gender expression gender identity genetic information marital status medical condition military or veteran status national origin political affiliation race religious creed sex (includes pregnancy childbirth breastfeeding and related medical conditions) and sexual orientation.

    #LI-PS1

    Know more about Brillio : what its like to work and grow at Brillio : Click here

    We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

    Key Skills

    Administrative Skills,Facilities Management,Biotechnology,Creative Production,Design And Estimation,Architecture

    Employment Type : Gig

    Experience : years

    Vacancy : 1

    Monthly Salary Salary : 80 - 90

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