Senior Director

Designation – E8 (Senior Director )
Role: AI Solution Architect
Experience: 20–25 Years
Role Overview
Infinite is seeking an experienced AI Architect to join its AI Center of Excellence and play a pivotal role in architecting, building, and scaling the Infinite AI Platform. The ideal candidate will bring deep expertise in enterprise architecture, Generative AI, Agentic AI, and platform engineering, with a proven track record of building scalable, production-grade AI solutions.
This is a hands-on technical leadership role requiring strong architectural expertise, engineering depth, and the ability to translate emerging AI technologies into enterprise-ready capabilities. Key Responsibilities

• AI Platform Architecture: Lead the architecture, design, and development of the Infinite AI Platform, ensuring scalability, modularity, security, and enterprise readiness.
• Generative & Agentic AI: Architect LLM-based applications, RAG solutions, autonomous agents, multi-agent orchestration, and intelligent workflow automation.
• Platform Engineering: Define technical frameworks, APIs, reusable components, integration patterns, and cloud-native architecture to accelerate AI platform development.
• Enterprise Integration: Design AI architectures that integrate seamlessly with enterprise applications, data platforms, cloud environments, and existing technology ecosystems.
• Engineering Leadership: Provide hands-on architectural guidance, resolve complex technical challenges, and drive engineering excellence from design through production.
• AI CoE Leadership: Collaborate with the core AI CoE team to establish technical standards, evaluate emerging technologies, mentor architects and engineers, and build differentiated AI capabilities.

• 20–25 years of experience in enterprise technology, with significant expertise in solution architecture, software engineering, and large-scale platform development.
• Strong hands-on experience with Generative AI, LLMs, Agentic AI, RAG, and multi-agent architectures.
• Strong understanding of Python, microservices, REST APIs, distributed systems, and cloud-native architecture.
• Expertise in AWS, Azure, or Google Cloud, along with containerization, Kubernetes, CI/CD, and MLOps/LLMOps.
• Knowledge of vector databases, model integration, AI orchestration, observability, security, and responsible AI practices.
• Proven ability to architect and deliver complex enterprise platforms, lead technical teams, and drive solutions from concept to production.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline.
• Prior experience as a Principal Architect, AI Architect, Chief Architect, or senior platform engineering leader.
• Demonstrated experience building enterprise AI platforms, SaaS products, or reusable technology frameworks.

Qualifications

BE

Range of Year Experience-Min Year

20

Range of Year Experience-Max Year

25