AI Architect

We are seeking an experienced AI Architect to lead the design and implementation of enterprise AI and Generative AI solutions aligned with Life Sciences, Clinical Research, and Healthcare business needs.

The AI Architect will be responsible for designing scalable, secure, and enterprise-grade AI/ML and Generative AI solutions supporting CRO, Clinical, Healthcare, and Enterprise Digital Transformation initiatives.

• Position Title : AI Architect
• Experience : 10+ years
• Location : Hyderabad
• Design and develop enterprise AI/ML and Generative AI solution architectures
• Architect scalable AI platforms, frameworks, and reusable components
• Design and implement RAG-based AI solutions using LLMs and vector databases
• Define AI solution roadmaps aligned with business and digital transformation goals
• Collaborate with Clinical, Biometrics, Data Engineering, and IT teams to identify AI use cases
• Translate business requirements into scalable and secure AI architectures
• Design end-to-end data flow and integration architecture across enterprise systems
• Evaluate and recommend AI/ML models, cloud platforms, and AI technologies
• Lead architecture discussions for AI copilots, intelligent assistants, and automation solutions
• Architect AI solutions on cloud platforms such as AWS, Azure, or GCP
• Define MLOps / LLMOps strategies for model deployment, monitoring, and lifecycle management
• Ensure AI solutions are scalable, secure, high-performing, and cost-optimized
• Establish AI governance, compliance, and responsible AI frameworks
• Ensure adherence to GxP, HIPAA, GDPR, and other regulatory requirements where applicable
• Define security controls for AI applications including access management and data privacy
• Drive integration of AI solutions with enterprise applications, APIs, and analytics platforms
• Support pre-sales, solution consulting, RFP responses, and client presentations
• Engage with clients and stakeholders to define AI transformation strategies
• Mentor and guide AI engineers, data scientists, and technical teams
• Conduct architecture reviews, technical evaluations, and solution assessments
• Stay updated with emerging AI, GenAI, LLM, and cloud technology trends
• Identify opportunities for AI-driven innovation and operational efficiency
• Support proof-of-concepts (POCs), pilot implementations, and production deployments
• Collaborate with leadership teams on AI capability development and strategic initiatives
• Define best practices, standards, and reusable templates for enterprise AI implementations
• Skills: natural language processing,data modeling,deep learning,machine learning