Agentic AI Architect [Remote]

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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 you’ll make technology happen in surprising ways. Let’s shape tomorrow - it’ll be a fun journey!

We are seeking a highly experienced and innovative Agentic AI Architect to join our AI CoE. In 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:

• Technical Leadership & Prototyping:

• Standards, Governance & Best Practices:

• Mentorship & Technical Evangelism:

• Cross-Functional Collaboration:

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:

• 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 typical base pay range for this role across the U.S. is USD $158,900.00 - $270,100.00 per year.

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 candidate’s 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.  It’s 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.