Technical Lead / Architect – Agentic AI

EazyML, ( recognized by Gartner, specializes in Responsible AI. Our solutions enable proactive compliance and sustainable automation for enterprises adopting AI at scale. We're also associated with breakthrough startups like Amelia.ai, giving our team exposure to cutting-edge AI products at enterprise scale.

We're looking for a Senior Technical Lead/Architect to shape the technical vision and architecture for our Agentic AI ecosystem, with a focus on accelerating platform capabilities for clinical operations data. This is a high-impact, strategic role for someone who combines deep hands-on engineering expertise with the ability to think several steps ahead of where the industry is heading.

Key Responsibilities:

• Architect and lead the technical vision for agentic AI systems supporting clinical operations data platforms
• Define and build core platform capabilities that accelerate development and execution across projects
• Apply modern software architecture principles — reimagined for a world shaped by autonomous, multi-agent systems
• Establish best practices, design patterns, and engineering standards for agentic AI development
• Partner with cross-functional stakeholders to translate business needs into scalable technical architecture
• Stay ahead of industry trends in agentic AI, LLM orchestration, and autonomous systems, and translate emerging capabilities into practical platform improvements
• Mentor engineering teams and elevate technical rigor across the organization
• Drive architectural decisions that balance innovation with the reliability, security, and compliance demands of clinical operations data

Required Qualifications

• 8+ years of experience in software engineering, with demonstrated depth in modern software architecture (distributed systems, microservices, cloud-native design, API design, data platforms)
• Strong, hands-on expertise in Agentic AI engineering — building, deploying, and scaling autonomous or multi-agent systems
• Proven ability to think strategically and translate ambiguous problems into a clear technical roadmap
• Track record of defining platform-level capabilities (not just feature-level solutions) that accelerate teams
• Familiarity with LLM frameworks, orchestration tools, and agentic design patterns (e.g., tool use, planning/reasoning loops, multi-agent coordination, RAG architectures)
• Experience working with healthcare, life sciences, or clinical operations data a strong plus
• Excellent communication skills — able to influence technical direction across engineering, product, and leadership
• Genuine passion for staying current with the fast-evolving agentic AI landscape