About this role
Job description
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.
Required Skills & Experience
- 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.
Preferred Qualifications
- 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.
Key Expectations
The successful candidate will be a core technical leader to the Infinite AI Platform, combining deep AI architecture expertise with hands-on engineering leadership to build scalable, secure, and differentiated enterprise AI capabilities.