Agentic AI Architect

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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

Come join our team where youll make technology happen in surprising ways. Lets shape tomorrow - itll be a fun journey!

We are seeking a highly experienced and innovative Agentic AI Architect to join our AI this role you will be a primary technical authority responsible for designing the foundational architecture and engineering blueprints for our next-generation AI agent ecosystems. You will translate strategic AI objectives into robust scalable and secure technical designs ensuring our agentic solutions effectively address complex business challenges in areas such as supply chain optimization intelligent automation and enhanced customer/vendor experiences. As a Principal Engineer you will provide deep technical guidance mentor other engineers and champion architectural best practices for building cutting-edge agentic AI systems.

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:

• Masters 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:

  • Designing architectures for systems utilizing agentic frameworks and libraries (e.g. LangChain AutoGen CrewAI LlamaIndex Microsoft Semantic Kernel Googles agentic stack including Vertex AI Search and Conversation Agent Builder or similar).

  • Architecting solutions that leverage Large Language Models (LLMs) for core agent functionalities like reasoning planning and complex interaction (e.g. GPT series Claude Gemini Llama models) including strategies for prompt management context handling RAG and robust function calling.

• Strong proficiency in Python and relevant AI/ML libraries (e.g. TensorFlow PyTorch scikit-learn Hugging Face Transformers).

• Expert understanding of software architecture principles design patterns (e.g. microservices event-driven architecture SOA) APIs and distributed systems engineering with a proven ability to apply them to AI/agentic systems.

• Solid experience with MLOps/LLMOps practices and tools for model/agent lifecycle management and a clear vision for how these apply to agentic AI.

• Significant experience with data architecture data engineering data pipelines vector databases and knowledge graphs as they pertain to enabling intelligent agents.

• In-depth knowledge of cloud computing platforms (e.g. GCP AWS Azure) and experience designing AI solutions on these platforms.

• Proven ability to lead the architectural design of complex technical projects and make critical technology choices.

• Exceptional analytical problem-solving and system-thinking skills.

• Strong communication and collaboration skills with the ability to influence and guide technical teams.

Preferred:

• Demonstrated experience architecting agentic AI solutions for sales automation customer service or vendor management supply chain management logistics or inventory optimization ideally within the IT distribution or a similar complex B2B industry.

• Expertise in multi-agent systems (MAS) architecture inter-agent communication protocols and coordination strategies.

• Experience architecting systems incorporating reinforcement learning (RL).

• Familiarity with designing and implementing simulation environments for testing and validating complex agent behaviors.

• Deep understanding of security architecture principles as applied to AI and autonomous systems.

• Track record of defining and driving the adoption of new architectural standards or technology platforms within an organization.

• Experience contributing to or leading technical governance bodies (e.g. Architecture Review Boards).

Why Join Us

• Be a foundational architect in building the next generation of AI for a major global IT distributor.

• Design and implement cutting-edge agentic systems that solve real-world large-scale business problems.

• Work in a highly collaborative environment with a passionate team of AI experts.

• Opportunity to make a significant technical impact and drive innovation.

• Competitive salary bonus and benefits package.

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The ranges above reflect the potential annual base pay across the U.S. for all roles; the applicable base pay range will depend on the candidates primary work location pay grade and variable compensation plan. Individual base pay within each range depends on various factors in addition to primary work location such as complexity and responsibility of role job duties/requirements and relevant experience and skills. Base pay ranges are reviewed and typically updated each year. Offers are made within the base pay range applicable at the time of hire. New hires starting base pay generally falls in the bottom half (between the minimum and midpoint) of a pay range.

At Ingram Micro certain roles are eligible for additional rewards including merit increases annual bonus or sales incentives and long-term incentives. These awards are allocated based on position level and individual performance. U.S.-based employees have access to healthcare benefits paid time off parental leave a 401(k) plan and company match short-term and long-term disability coverage basic life insurance and wellbeing benefits among others.

This is not a complete listing of the job duties. Its a representation of the things you will be doing and you may not perform all these duties.

Please be prepared to pass a drug test and successfully pass a pre-employment (post offer) background check.

Ingram Micro Inc. is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion gender gender identity or expression sexual orientation national origin genetics disability age veteran status or any other protected category under applicable law.