AI Architect

RADcube; Indianapolis (IN); On-site; USD 140,000 - 210,000; Full time

Job summary

A technology firm is seeking an AI Architect in Indianapolis to lead the design and delivery of enterprise AI solutions. The ideal candidate will have deep expertise in enterprise architecture, a strong Java background, and experience with cloud ecosystems and AI/ML frameworks. Responsibilities include defining the AI/ML roadmap and driving adoption of innovative platforms.

Qualifications

• Deep expertise in enterprise architecture and Java-based platforms.
• Experience with cloud ecosystems (AWS/Azure/GCP) and AI/ML frameworks.
• Strong leadership, communication, and cross-functional collaboration skills.

Responsibilities

• Lead the design and delivery of enterprise AI solutions.
• Define the AI/ML roadmap and establish reference architectures.
• Drive adoption of cloud-native and generative AI platforms.
• Provide technical leadership, governance, and mentorship.
• Ensure responsible and efficient AI integration.

Skills

Enterprise architecture

Java-based platforms

Cloud ecosystems (AWS/Azure/GCP)

AI/ML frameworks

Leadership and communication

Cross-functional collaboration

Job description

Overview

We are seeking an AI Architect with a strong full-stack Java background to lead the design and delivery of enterprise AI solutions. This role focuses on strategic architecture, governance, and innovation, ensuring that AI initiatives are scalable, secure, and aligned with business objectives.

The AI Architect will define the AI/ML roadmap, establish reference architectures, and drive adoption of cloud-native and generative AI platforms. Partnering with business leaders, engineering teams, and data scientists, this role provides technical leadership, governance, and mentorship, ensuring responsible and efficient AI integration across the enterprise.

Responsibilities

• Lead the design and delivery of enterprise AI solutions with a focus on scalable, secure architectures.
• Define the AI/ML roadmap and establish reference architectures.
• Drive adoption of cloud-native and generative AI platforms.
• Partner with business leaders, engineering teams, and data scientists to provide technical leadership, governance, and mentorship.
• Ensure responsible and efficient AI integration across the enterprise.

Qualifications

• Deep expertise in enterprise architecture and Java-based platforms.
• Experience with cloud ecosystems (AWS/Azure/GCP) and AI/ML frameworks.
• Strong leadership, communication, and cross-functional collaboration skills.

Employment type

• Full-time

Location

• Indianapolis, IN