Specialist II - Data Science

Job Title: GenAI Architect

Location: India

Role Overview

We are seeking a visionary and hands-on GenAI Architect to design, build, and scale AI-powered solutions for our organization and clients. This role is pivotal in advancing innovation within the Healthcare AI Club by leveraging Generative AI, Agentic AI, and cloud-native technologies. The ideal candidate will architect secure, compliant, and scalable AI systems using Google Cloud and modern AI frameworks to transform healthcare delivery and operations.

Key Responsibilities

1. Architecture Design

• Define and implement scalable, secure, and high-performance architectures for Generative AI and Agentic AI solutions.
• Architect AI-powered platforms using Google Cloud Platform and Vertex AI.
• Design APIs, microservices, and distributed systems leveraging Python and FastAPI.
• Establish architectural standards, best practices, and governance frameworks.
• Ensure Responsible AI, scalability, interoperability, and reliability in all solutions.

2. Development Implementation

• Design and develop AI-driven applications and enterprise-grade services.
• Build and integrate Large Language Models (LLMs) and AI agents into healthcare workflows.
• Implement Retrieval-Augmented Generation (RAG) and multimodal AI solutions.
• Utilize frameworks such as LangChain and LlamaIndex.
• Apply prompt engineering, fine-tuning, and model evaluation techniques.

3. Cloud, Data Infrastructure

• Architect and deploy cloud-native AI solutions on Google Cloud.
• Leverage services such as Vertex AI, BigQuery, Cloud Run, GKE, and Cloud Storage.
• Implement MLOps and LLMOps pipelines for continuous integration, deployment, and monitoring.
• Ensure high availability, performance optimization, and cost efficiency.
• Design secure data pipelines aligned with healthcare standards.

4. Healthcare AI Compliance

• Design AI solutions tailored for clinical, operational, and patient engagement use cases.
• Ensure compliance with global healthcare and data privacy regulations such as HIPAA and GDPR.
• Implement secure, ethical, and explainable AI systems.
• Enable interoperability standards such as FHIR and HL7.

5. Leadership Collaboration

• Serve as a technical leader and architect within the Healthcare AI Club.
• Mentor engineers, data scientists, and AI practitioners.
• Collaborate with product managers, domain experts, and clients to deliver impactful solutions.
• Provide architectural guidance, technical roadmaps, and innovation strategies.

6. Innovation Research

• Stay ahead of advancements in Generative AI, Agentic AI, and multimodal systems.
• Evaluate emerging tools, frameworks, and research trends.
• Drive thought leadership through prototypes, whitepapers, and innovation initiatives.

Required Qualifications

• Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 12+ years of experience in software development, cloud architecture, or AI engineering.
• Proven expertise in Generative AI, LLMs, and Agentic AI systems.