Lead the design and implementation of AI-powered solutions, focusing on microservices architecture and regulatory compliance for healthcare applications.
Job Description SummaryWe’re seeking a visionary Solution Architect with deep expertise in GenAI, microservices architecture, and cloud-native application design. The ideal candidate will lead end-to-end solutioning for AI-powered platforms, ensuring scalability, modularity, and compliance across diverse systems and domains.Job Description
Key Responsibilities
- Architect intelligent automation solutions using GenAI, LLMs, and context engineering.
- Design and implement scalable microservices and micro app ecosystems using containerized and serverless technologies.
- Lead the development of modular, decoupled applications that support rapid deployment and high availability.
- Integrate AI models using ONNX Runtime, VertexAI, GeminiAI, and other ML frameworks.
- Collaborate with cross-functional teams including radiologists, product managers, and developers to deliver impactful healthcare and enterprise solutions.
- Ensure infrastructure automation and compliance with ISO 13485, ISO 27001, and other regulatory standards.
- Drive DevOps strategy using Docker, Kubernetes, AWS CDK, and CI/CD pipelines.
Required Skills
- 7+ years in software architecture and enterprise application development.
- Proven experience with GenAI, ML model integration, and voice/image processing (VAD, SAM).
- Strong command of AWS services (Lambda, S3, SNS, SQS) and infrastructure automation.
- Expertise in designing microservices and micro apps using Node.js, Spring, and container orchestration.
- Familiarity with cloud platforms (AWS, Azure) and observability tools (Prometheus, Grafana).
- Knowledge of secure development practices and compliance frameworks.
Leadership:
• Foresee obstacles, identify workarounds, leverage resources, rally teammates.
• Demonstrated ability to work with and/or lead blended teams, including 3rd party partners and customer personnel.
• Demonstrated Change Management /Acceleration capabilities
• Strong interpersonal skills, including creativity and curiosity with ability to effectively communicate and influence across all organizational levels
• Proven analytical and problem resolution skills
• Ability to influence and build consensus with other Information Technology (IT) teams and leadership
Relocation Assistance Provided: No
Top Skills
Aws Cdk
Ci/Cd
Cloud-Native Applications
Docker
Geminiai
Genai
Kubernetes
Microservices
Node.js
Onnx Runtime
Spring
Vertexai
Similar Jobs
Database
As an AI Solution Architect, you will design and validate AI solutions, partner with teams to win business, and lead customer engagement, focusing on AI-driven data protection solutions.
Top Skills:
BashClaudeCohereCohesity DataprotectCudaGaiaGeminiKubernetesLlama 2MilvusMistralMlopsNvidia GpusOpenaiOpenshiftPineconePowershellPythonSmartfilesTensorrt
Consumer Web • Other • Retail • Appliances
Design and implement a modern data and AI platform leveraging GCP, focusing on data architecture, AI integration, and collaborative leadership to enhance supply chain operations.
Top Skills:
BigQueryCi/CdData LakeDataflowGoGoogle Cloud PlatformIotJavaKubernetesLookerMaster Data ManagementPub/SubPythonTerraformVertex Ai
Healthtech • Telehealth
Lead the design and implementation of AI and automation solutions in healthcare; manage architecture, evaluate technologies, develop prototypes, and provide mentorship.
Top Skills:
AIAPIsAutomationAWSC#Cloud Platforms (AzureDistributed SystemsGcp)JavaMicroservicesPython
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
