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! 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. AI Strategy & Technical Leadership: 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. Collaboration & Influence: 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. Advanced Analytics & Model Performance: 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-dive 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. Mentorship & Thought Leadership: 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 improvement and definition of the CoE s agent development processes, analytical tools, and validation standards. Mentor & Develop Talent: Actively mentor and coach junior and mid-level AI Engineers and Data Scientists, fostering their technical growth and contributions to the team. What you bring to the role: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Statistics, Machine Learning, or a related technical field. A PhD is a plus. 7 years of hands-on experience in software engineering and/or data science, with a significant focus on building and deploying production-grade AI/ML systems. Strong foundation in statistics, probability, and experimental design (e.g., A/B testing, causal inference). Demonstrated expertise in architecting and developing complex AI systems, with deep, direct experience in Agentic AI or autonomous agents. This includes mastery of: One or more agentic AI frameworks and libraries (e.g., Google s agentic stack including Vertex AI ADK, Agent Engine, Agent Builder, LangChain, AutoGen, CrewAI, LlamaIndex, Microsoft Semantic Kernel, or similar). Advanced application of Large Language Models (LLMs) for complex reasoning, planning, and function calling (e.g., via APIs for GPT series, Claude, Gemini, Llama models). Expert-level proficiency in Python and its ecosystem of AI/ML and data analysis libraries (e.g., scikit-learn, Pandas, NumPy, Hugging Face Transformers, PyTorch/TensorFlow, SciPy, StatsModels). Deep understanding and application of advanced software engineering principles, architectural design patterns, and best practices (e.g., SOLID, version control with Git, CI/CD). Extensive experience with API design, development, and integration (RESTful APIs, gRPC). Deep experience with cloud computing platforms (e.g., GCP, AWS, Azure) and designing solutions using their AI/ML services (e.g., Google Vertex AI, Amazon SageMaker). Exceptional problem-solving, analytical, and critical thinking skills. Excellent verbal and written communication skills, with the ability to articulate complex technical and statistical concepts to both technical and non-technical audiences. Preferred Qualifications & Experience: Extensive experience building, deploying, and maintaining high-availability AI solutions in a large-scale production environment. Experience with advanced statistical modeling techniques (e.g., causal inference, time series analysis, Bayesian methods). Experience with large-scale data processing and analysis frameworks (e.g., Spark, Dask). Expertise in designing and implementing RAG systems, including deep knowledge of vector databases. Contributions to open-source AI/ML projects or publications in relevant academic conferences. Experience in strategic business domains such as supply chain, finance, logistics, or enterprise automation. Why Join Us? Be a key contributor to building innovative Agentic AI solutions that will shape the future of a major global IT distributor. Gain hands-on experience with cutting-edge AI technologies and frameworks. Work in a dynamic, collaborative, and supportive team environment focused on learning and growth. Opportunity to make a tangible impact on real-world business problems. Competitive salary, bonus, and benefits package. #LI-SK1 The typical base pay range for this role across the U.S. is USD $112,200.00 - $190,700.00 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.

Requirements

Must-haves

Accelerate your career. Join the organization that s driving the world s technology and shape the future.
Come join our team where you’ll make technology happen in surprising ways. Let’s shape tomorrow - it’ll be a fun journey!
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.
Architectural Partnership: Partner with AI Architects and business stakeholders to translate strategic objectives and architectural blueprints into tangible, high-impact AI solutions.
Agile Process Improvement: Guide and improve agile development practices within the team, enhancing velocity and outcomes in sprint planning, stand-ups, and reviews.
Process & Standards Definition: Drive the continuous improvement and definition of the CoE s agent development processes, analytical tools, and validation standards.
Mentor & Develop Talent: Actively mentor and coach junior and mid-level AI Engineers and Data Scientists, fostering their technical growth and contributions to the team.
7 years of hands-on experience in software engineering and/or data science, with a significant focus on building and deploying production-grade AI/ML systems.
Strong foundation in statistics, probability, and experimental design (e.g., A/B testing, causal inference).
Advanced application of Large Language Models (LLMs) for complex reasoning, planning, and function calling (e.g., via APIs for GPT series, Claude, Gemini, Llama models).
Expert-level proficiency in Python and its ecosystem of AI/ML and data analysis libraries (e.g., scikit-learn, Pandas, NumPy, Hugging Face Transformers, PyTorch/TensorFlow, SciPy, StatsModels).
Deep understanding and application of advanced software engineering principles, architectural design patterns, and best practices (e.g., SOLID, version control with Git, CI/CD).
Extensive experience with API design, development, and integration (RESTful APIs, gRPC).
Deep experience with cloud computing platforms (e.g., GCP, AWS, Azure) and designing solutions using their AI/ML services (e.g., Google Vertex AI, Amazon SageMaker).
Exceptional problem-solving, analytical, and critical thinking skills.
Excellent verbal and written communication skills, with the ability to articulate complex technical and statistical concepts to both technical and non-technical audiences.
Extensive experience building, deploying, and maintaining high-availability AI solutions in a large-scale production environment.
Experience with advanced statistical modeling techniques (e.g., causal inference, time series analysis, Bayesian methods).
Experience with large-scale data processing and analysis frameworks (e.g., Spark, Dask).
Expertise in designing and implementing RAG systems, including deep knowledge of vector databases.
Contributions to open-source AI/ML projects or publications in relevant academic conferences.
Experience in strategic business domains such as supply chain, finance, logistics, or enterprise automation.

Nice-to-haves

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Statistics, Machine Learning, or a related technical field. A PhD is a plus.
Competitive salary, bonus, and benefits package.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlagilemachine learningpythonci/cdapigcpawsazure

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

401(K)

Paid Time Off

Parental Leave