AI Solutions Architect
- Sunquest Information
- 3 - 8 years
- Bengaluru
- 4 days ago
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Job Description
Essential FunctionsAI Architecture Design: Lead the design of AI-enabled, GenAI, LLM and RAG, solutions that integrate with LIMS/LIS platforms to support sample tracking, test result interpretation, anomaly detection, and workflow optimization.
o Architect scalable, secure, and compliant AI systems using Microsoft Azure services:
Azure OpenAI, Azure Machine Learning, Azure Functions, Azure Service Bus
o Design agentic workflows that allow an LLM-powered assistant to autonomously build and modify configurations within LIMS/LIS products
o Create reference implementations and reusable components for full-stack engineers to extend AI functionality
o Lead architecture reviews and technical workshops to align engineering practices across teams
o Define API contracts and integration patterns between AI services and product backends:
.NET (C#), RDBMS, SQL Server , Oracle, NoSQL, Azure Cosmos, MongoDB, RESTful APIs
Data Integration & Governance: Architect secure and scalable pipelines for ingesting structured and unstructured lab data (e.g., HL7, FHIR, ASTM, DICOM) while ensuring compliance with CLIA, CAP, HIPAA, and GDPR.
Collaboration: Partner with lab directors, pathologists, and clinical informatics teams to translate diagnostic and operational needs into AI capabilities.
o Collaborate with product engineering teams to embed AI capabilities into existing UIs and workflows
Model Development & Deployment: Oversee the lifecycle of AI models, including training, validation, deployment, and monitoring in regulated environments.
Automation & Efficiency: Drive intelligent automation initiatives such as auto-verification of results, smart routing of samples, and predictive maintenance of lab instruments.
Compliance & Explainability: Ensure AI solutions meet regulatory standards and provide explainable outputs suitable for clinical environments.
Innovation Leadership: Evaluate emerging technologies (e.g., LLMs and RAG for lab report summarization, computer vision for slide analysis) and lead proof-of-concept initiatives.
Skills needed to be successful
Strong architectural thinking with the ability to design scalable, modular, and secure AI systems
Deep understanding of large language models (LLMs) and RAG, agentic systems, and workflow orchestration
Proficiency in both Python and .NET (C#) for building production-grade AI services and APIs
Expertise in Microsoft Azure services, including Azure OpenAI, Azure ML, and Azure DevOps
Ability to translate business and domain-specific requirements into technical solutions
Strong communication and mentoring skills to guide engineers and influence cross-functional teams
Familiarity with regulatory and compliance frameworks relevant to healthcare and life sciences
Comfortable working in a fast-paced, cross-functional environment with evolving priorities
Strong problem-solving and debugging skills.
Excellent communication and collaboration skills.
Required Experience & Education
Bachelor s degree in Computer Science, Engineering, or a related technical field
8+ years of experience in software architecture or engineering
3+ years of experience designing and implementing AI/ML systems in production environments
Demonstrated experience with Microsoft Azure cloud services and infrastructure
Proven track record of integrating AI systems into enterprise software products
Preferred Experience & Education
Master s degree in Computer Science, Data Science, or a related field
Experience in regulated industries such as healthcare, life sciences, or environmental sciences
Familiarity with laboratory information systems (LIMS/LIS) or scientific data workflows
Experience with embedding AI assistants or chatbots into enterprise applications
Knowledge of prompt engineering, vector databases, and retrieval-augmented generation (RAG)
Supervisory Responsibilities
This role does not have direct reports initially but will:
o Provide technical leadership and mentorship to AI engineers and full-stack contributors
o Influence architectural decisions across multiple engineering teams
o Help define future team structure and hiring needs as the AI initiative scales
- AI Architecture Design: Lead the design of AI/ML solutions that integrate with LIMS/LIS platforms to support sample tracking, test result interpretation, anomaly detection, and workflow optimization.
- Data Integration & Governance: Architect secure and scalable pipelines for ingesting structured and unstructured lab data (e.g., HL7, FHIR, ASTM, DICOM) while ensuring compliance with CLIA, CAP, HIPAA, and GDPR.
- Clinical Collaboration: Partner with lab directors, pathologists, and clinical informatics teams to translate diagnostic and operational needs into AI capabilities.
- Model Development & Deployment: Oversee the lifecycle of AI models, including training, validation, deployment, and monitoring in regulated environments.
- Automation & Efficiency: Drive intelligent automation initiatives such as auto-verification of results, smart routing of samples, and predictive maintenance of lab instruments.
- Compliance & Explainability: Ensure AI solutions meet regulatory standards and provide explainable outputs suitable for clinical environments.
- Innovation Leadership: Evaluate emerging technologies (e.g., LLMs for lab report summarization, computer vision for slide analysis) and lead proof-of-concept initiatives.
Merged accordingly.
Job Classification
Industry: Software ProductFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Solution ArchitectEmployement Type: Full timeContact Details:
Company: Sunquest InformationLocation(s): Bengaluru
Keyskills: Automation RDBMS Enterprise applications Debugging Healthcare Oracle Monitoring SQL Python
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Sunquest Information
Sunquest Information Systems Inc. provides diagnostic informatics solutions to laboratories worldwide. Since 1979, Sunquest has helped laboratories and healthcare organizations enhance efficiency, improve patient care, and optimize financial results. Our capabilities include multi-site, multi-discip...
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