About the Role
We are looking for a senior-level Agentic AI Architect to define and lead the design of enterprise-grade autonomous AI systems. This role focuses on architecture, scalability, governance, and long-term AI strategy, rather than hands-on framework-level implementation. You will work closely with leadership, product, and engineering teams to build robust AI platforms that power intelligent automation across the organization.
Key Responsibilities
AI Strategy & Architecture
- Define the overall architecture for agentic AI platforms and autonomous systems
- Design scalable, secure, and production-grade AI ecosystems
- Drive adoption of agent-based architectures across business units
System Design & Governance
- Establish standards for AI system design, model usage, and deployment
- Define guardrails for responsible AI (bias, hallucination control, explainability)
- Implement governance frameworks including auditability and compliance
Platform & Infrastructure Leadership
- Architect enterprise AI platforms integrating LLMs, APIs, and distributed systems
- Lead decisions on infrastructure, cloud architecture, and scalability patterns
- Drive performance optimization, cost management, and reliability
Cross-functional Leadership
- Partner with business leaders to identify AI transformation opportunities
- Translate business vision into scalable AI solutions
- Mentor engineering teams and define best practices
Innovation & Thought Leadership
- Stay ahead of advancements in AI, multi-agent systems, and autonomous workflows
- Drive innovation initiatives and POCs at an organizational level
Required Skills & Qualifications
- 5 - 10 years of experience in AI/ML, Data Engineering, or Backend Architecture
- Strong experience in system design and distributed architectures
- Experience designing enterprise-scale AI platforms
- Deep understanding of LLM capabilities and limitations
- Strong experience with cloud platforms (AWS/Azure/GCP)
- Expertise in APIs, microservices, and scalable backend systems