Specialist - Architecture

Role Overview
We are looking for an experienced Senior AI Engineer with strong Google Cloud Platform experience and preferably a healthcare domain background The ideal candidate will design develop and support secure scalable cloud native healthcare applications while leveraging Google Vertex AI and AI assisted engineering practices to improve delivery speed code quality and solution intelligence.

Key Responsibilities
  Build and deploy cloud native applications on Google Cloud Platform using services such as Cloud Run Cloud Functions Pub Sub Cloud Storage and managed databases
  Integrate Google Vertex AI capabilities into healthcare applications including generative AI model endpoints prompt based workflows and intelligent automation use cases
  Apply responsible AI and vibe coding practices to accelerate development improve developer productivity and support rapid prototyping while ensuring code quality security and maintainability
  Collaborate with product owners architects business analysts QA DevOps and healthcare stakeholders to translate business and clinical requirements into technical solutions
  Ensure application designs and data handling practices align with healthcare security privacy and compliance expectations including protection of PHI PII and HIPAA aligned controls
  Participate in code reviews unit testing integration testing CICD automation performance tuning production support and incident resolution
  Contribute to architecture discussions reusable frameworks technical documentation and engineering best practices across delivery teams
Required Skills and Experience
  Min 10 years of hands on software engineering experience with strong backend development expertise
  Hands on experience with Google Cloud Platform services and cloud native application development
  Practical experience using Google Vertex AI or related AIML platforms for generative AI model integration embeddings prompt workflows or intelligent automation
  Experience with CICD pipelines Git based source control automated testing containerization and DevOps practices
  Healthcare domain experience including familiarity with payer provider pharmacy claims clinical patient engagement or healthcare data platforms
  Understanding of healthcare data privacy PHI PII handling HIPAA aligned security controls auditability and production support expectations
  Ability to use AI assisted development or vibe coding approaches responsibly validating generated code for correctness reliability security and maintainability
Preferred Qualifications
  Experience with healthcare interoperability standards such as HL7 FHIR EDI X12 or similar healthcare integration patterns
  Knowledge of BigQuery Dataflow Cloud Composer Apigee Kubernetes Terraform Jenkins GitHub Actions or observability tools
  Experience working in Agile or SAFe delivery environments with distributed onshore offshore teams
  Strong communication skills with the ability to explain technical designs risks and tradeoffs to business and technology stakeholders.

Good to Have
Design develop and maintain enterprise grade backend services using Java Spring Boot REST APIs and microservices architecture
Strong proficiency in object oriented design and secure coding practices