Enterprise AI Architect: Scalable, Secure Solutions

RiseMe; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

Infosys is seeking an Architecture Consultant 2 in the United States to lead architecture discussions, design secure, scalable solutions, and drive implementation with AI tooling. You will collaborate across teams, validate PoCs, and contribute to deployment automation.

Ideal candidates have hands-on Python, APIs, and cloud experience, with strong leadership and cross-functional collaboration skills, and willingness to relocate if required.

Qualifications

• Bachelor’s degree or foreign equivalent required; relocation/travel may be needed.
• Experience in architecture design, integration strategies, and proof-of-concept validation.
• Experience with AI platforms, security, and end-to-end SDLC delivery.

Responsibilities

• Participate in customer discussions to gather and analyze requirements for performance, security and scalability.
• Provide architecture suggestions, contribute to tech framework, and drive design creation.
• Identify technologies and perform market analyses to propose optimal solutions.
• Develop integration strategies and validate proposed architectures through PoCs.
• Ensure knowledge transfer and align build/deploy automation with standards.
• Collaborate with development teams to resolve complex issues during build, deploy, and support.
• Analyze system performance and identify risks; create architectural artifacts.

Skills

OpenAI Codex

AI Coding Agents

GitHub Copilot Enterprise

AI Agent Engineering

MCP security & IAM

SAML/OAuth/OIDC

AWS IAM/Bedrock

Python (Async)

REST APIs

Solution architecture

Education

Bachelor’s degree or foreign equivalent

Tools

FastAPI

Flask

Job description

Infosys is seeking an Architecture Consultant 2 in the United States to lead architecture discussions, design secure, scalable solutions, and drive implementation with AI tooling. You will collaborate across teams, validate PoCs, and contribute to deployment automation.

Ideal candidates have hands-on Python, APIs, and cloud experience, with strong leadership and cross-functional collaboration skills, and willingness to relocate if required.