Agentic AI Architect

ingrammicro; Irvine (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Ingram Micro is seeking a seasoned technologist to定义 and design enterprise-grade agentic AI architectures. You will lead end-to-end reference architectures, architecture blueprints, and standards for integrating AI agents across ERP, CRM, SCM, and WMS platforms.

You will guide the selection of frameworks and tools (LangChain, AutoGen, CrewAI) and mentor engineers while collaborating with cross-functional teams to ensure scalable, secure, and cost-effective AI solutions.

Qualifications

• Master's or Ph.D. in Computer Science, AI, Software Engineering, or related field.
• 10+ years in software engineering and AI/ML system development.
• 5–7 years designing complex distributed AI systems.
• Hands-on expertise in Agentic AI or autonomous intelligent agents.

Responsibilities

• Lead the definition and design of the end-to-end reference architecture for enterprise-grade agentic AI systems.
• Develop architectural blueprints, patterns, and standards for AI agents across ERP/CRM/SCM/WMS.
• Design components like reasoning engines, planning modules, perception interfaces, and memory systems.
• Ensure scalability, security, reliability, maintainability, and cost-effectiveness.
• Evaluate and select frameworks, platforms, and tools for the agentic AI stack.
• Mentor engineers on architectural concepts and best practices in agentic AI.
• Collaborate with data scientists, security architects, and stakeholders to align solutions.

Skills

AI architectures

Multi-agent systems

LLMs

Distributed systems

Education

Master's or Ph.D. in Computer Science/AI/Software Engineering

Tools

LangChain

AutoGen

CrewAI

Gogole ADK

Job description

Accelerate your career. Join the organization that's driving the world's technology and shape the future.

Ingram Micro is a leading technology company for the global information technology ecosystem. With the ability to reach nearly 90% of the global population, we play a vital role in the worldwide IT sales channel, bringing products and services from technology manufacturers and cloud providers to business‑to‑business technology experts. Our market reach, diverse solutions and services portfolio, and digital platform Ingram Micro Xvantage™ set us apart. Learn more at www.ingrammicro.com

Come join our team where you'll make technology happen in surprising ways. Let's shape tomorrow - it'll be a fun journey!

Your role:

Agentic AI Architecture & System Design:

Lead the definition and design of the end‑to‑end reference architecture for enterprise‑grade agentic AI systems, encompassing agent lifecycle management, interaction protocols, knowledge integration, and action execution frameworks.

Develop detailed architectural blueprints, patterns, and standards for building, deploying, and integrating AI agents across diverse business domains and existing enterprise platforms (ERP, CRM, SCM, WMS).

Design core components of the agentic ecosystem, including reasoning engines (leveraging LLMs), planning modules, perception interfaces, memory systems, and tool/API integration layers.

Ensure architectural designs meet critical non‑functional requirements, including scalability, reliability, security, maintainability, and cost‑effectiveness.

Drive the technical evaluation and selection of appropriate frameworks (e.g. Gogole ADK, LangChain, AutoGen, CrewAI), platforms, and tools for our agentic AI stack.

Technical Leadership & Prototyping:

Serve as a senior technical expert and thought leader on agentic AI architecture, multi‑agent systems, LLM‑driven autonomy, and related technologies.

Lead the development of advanced prototypes and proof‑of‑concepts for core architectural components and novel agentic capabilities to validate design choices and mitigate technical risks.

Provide expert technical guidance and architectural oversight to development teams working on specific AI agent projects.

Collaborate with the Agentic AI Lead and other stakeholders to align architectural decisions with the overall AI strategy and roadmap.

Standards, Governance & Best Practices:

Establish and promote engineering best practices, coding standards, and design patterns for agentic AI development within the CoE.

Contribute to the development of Agentic AI Tech Ops/MLOps/LLMOps strategies specifically tailored for the lifecycle management of AI agents.

Ensure that architectural designs and implementations adhere to ethical AI principles (fairness, transparency, accountability, privacy) and relevant compliance requirements.

Create and maintain comprehensive architectural documentation.

Mentorship & Technical Evangelism:

Mentor and coach AI engineers and developers on advanced architectural concepts, design principles, and new technologies in the agentic AI space.

Foster a culture of technical excellence, innovation, and knowledge sharing.

Act as an internal evangelist for sound architectural practices in AI development.

Cross‑Functional Collaboration:

Work closely with data scientists, data engineers, security architects, infrastructure teams, and business stakeholders to ensure holistic and well‑integrated agentic solutions.

Translate complex business requirements and domain‑specific challenges into effective and scalable architectural designs.

Clearly articulate and defend architectural decisions to both technical and non‑technical audiences.

What you bring to the role:

Master's or Ph.D. in Computer Science, Artificial Intelligence, Software Engineering, or a closely related technical field.

10+ years of experience in software engineering and AI/ML system development, with at least 5-7 years focused on architecting and designing complex, distributed AI systems.

Deep, hands‑on expertise in architecting and implementing Agentic AI systems or autonomous intelligent agents. This includes practical experience with: