Senior Director

Infinite Computer Solutions; Campus (IL); On-site; USD 210,000 - 270,000; Full time

Job summary

Infinite Computer Solutions seeks an experienced AI Architect to join its AI Center of Excellence and lead the architecture, building, and scaling of the Infinite AI Platform. This hands-on technical leadership role requires deep expertise in enterprise architecture, Generative AI, agentic AI, and platform engineering to deliver production-grade AI capabilities.

Responsibilities include designing scalable architecture, enabling LLM-based applications, RAG and multi-agent systems, cloud-native

Qualifications

• 20+ years of enterprise tech with solution architecture and large-scale platform delivery.
• Strong hands-on experience with Generative AI, LLMs, Agentic AI, RAG, and multi-agent architectures.
• Expertise in Python, microservices, REST APIs, distributed systems, and cloud-native architecture.

Responsibilities

• Lead AI Platform Architecture for scalable, secure enterprise-grade AI.
• Architect LLM-based apps, RAG solutions, autonomous agents, and orchestration.
• Define APIs, microservices patterns, and cloud-native infrastructure.
• Ensure seamless enterprise integration with data platforms and cloud environments.
• Provide hands-on architectural leadership from design to production.
• Mentor architects and engineers and set technical standards.

Skills

Generative AI

LLMs

Agentic AI

RAG

Multi-agent architectures

Python

Microservices

REST APIs

Distributed systems

Cloud-native architecture

Observability

Security

Responsible AI

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science/Engineering

Tools

AWS

Azure

Google Cloud

Kubernetes

CI/CD

MLOps/LLMOps

Job description

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

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.

Qualifications

BE

Range Of Year Experience-Min Year

20

Range Of Year Experience-Max Year

25