Senior Agentic AI Engineer
Listed on 2026-07-27
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Ingram Micro is a leading global IT distributor, connecting technology solution providers with vendors worldwide. We are at the forefront of leveraging cutting‑edge technologies to drive innovation and efficiency across the IT ecosystem. Our AI Center of Excellence (CoE) is a dynamic and strategic group dedicated to solving complex business problems and creating new value streams through the application of Artificial Intelligence, with a strong focus on developing autonomous and intelligent Agentic AI systems.
Your role :We are seeking a talented and motivated Agentic AI Engineer to join our AI CoE. In this hands‑on role, you will be responsible for the design, development, testing, and deployment of AI agents that can perceive their environment, make decisions, and take autonomous actions. You will work closely with AI Architects, Data Scientists, and business stakeholders to build innovative agentic solutions that address key challenges in areas such as supply chain optimization, intelligent automation, and enhanced customer/vendor experiences.
This is an exciting opportunity to contribute to the development of cutting‑edge AI systems that will have a significant impact on our global operations.
- Lead Agent Architecture & Development:
Lead the end‑to‑end design, development, and deployment of complex, scalable, and secure enterprise‑grade AI agents. Define the architectural patterns and technical standards for agentic systems across the organization. - Strategic System Integration:
Architect and oversee the integration of AI agents with critical enterprise systems (ERP, CRM, SCM, WMS), ensuring robust data flows and operational efficiency. - Own Core Functionality & Innovation:
Drive the development and implementation of advanced agent functionalities, including sophisticated reasoning chains, multi‑agent collaboration, long‑term memory, and dynamic tool creation. - Code Excellence & Mentorship:
Champion and enforce standards for clean, highly efficient, well‑documented, and rigorously tested code. Mentor junior and mid‑level engineers in advanced programming techniques and best practices.
- Architectural Partnership:
Partner with AI Architects and business stakeholders to translate strategic objectives and architectural blueprints into tangible, high‑impact AI solutions. - Cross‑Functional Leadership:
Act as a key technical leader in collaborations with Data Scientists, Platform Engineers, and Product Managers, guiding the analytical approach and ensuring the rigorous application of statistical methods in AI/ML models. - Drive Prototyping & Feasibility:
Lead the ideation and development of innovative prototypes and proof‑of‑concepts to demonstrate the art of the possible, de‑risk new technologies, and validate complex analytical approaches. - Agile Process Improvement:
Guide and improve agile development practices within the team, enhancing velocity and outcomes in sprint planning, stand‑ups, and reviews.
- Lead Experimentation & Validation Strategy:
Design and implement comprehensive A/B testing and experimentation frameworks to validate agent performance and drive data‑driven decisions. Establish rigorous statistical benchmarks for model reliability, accuracy, and business impact. - Own Model Lifecycle & Analysis:
Take ownership of the analytical aspects of the model lifecycle, from feature engineering and selection to post‑deployment performance analysis. Conduct deep‑diving analyses to understand model behavior and identify opportunities for improvement. - Advanced Troubleshooting & Root Cause Analysis:
Serve as the escalation point for complex issues related to model performance and data drift. Utilize advanced statistical analysis to diagnose root causes and implement robust, long‑term solutions.
- Continuous Learning & Evangelism:
Stay at the forefront of advancements in agentic AI, LLMs, and statistical learning theory, and act as a subject matter expert, evangelizing new analytical techniques and methodologies within the AI CoE. - Process & Standards Definition:
Drive the continuous…
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