Senior Principal AI Architect

What you'll do

• Define and enforce architecture-first principles for AI and agentic systems
• Review system designs and recommend appropriate models, frameworks, and patterns
• Translate non-functional requirements (latency, reliability, scalability, observability, cost) into concrete designs
• Serve as final technical escalation point for complex AI decisions
• Guide model selection, evaluation, and deployment strategies
• Architect the agent ecosystem as a cohesive platform
• Define shared agent patterns and orchestration frameworks
• Establish standards for autonomy levels, guardrails, and safety
• Ensure alignment between agent behaviour and business logic
• Drive standardization of evaluation and lifecycle management
• Act as the technical voice in company-wide AI discussions
• Clearly articulate system capabilities and trade-offs
• Translate customer and business requirements into architecture
• Partner with product and business teams for scalable AI solutions
• Raise AI maturity across engineering
• Conduct knowledge-sharing sessions on emerging models and frameworks
• Share lessons learned from deployments
• Influence AI engineering best practices organization wide

Requirements

• 12+ years of software engineering experience
• 3+ years designing and deploying AI/ML systems in production
• Deep expertise in LLMs, agentic systems, distributed systems, scalable inference infrastructure
• Strong experience with cloud infrastructure and containerization
• Proven ability to translate business requirements into architecture
• Excellent communication and technical leadership skills
• Strong hands-on experience in designing, implementing, and reviewing AI/ML systems and infrastructure
• Bachelor’s degree in engineering (CS / IT) or equivalent degree from well-known Institutes / Universities

Tech stack

Benefits