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Position Overview
As a AI Engineer / Senior Machine Learning Engineer – GenAI & Agentic AI at Arrow Electronics, you will play a key role in developing and deploying intelligent AI solutions that address complex business and engineering challenges.
The role is built on a strong foundation in machine learning and data science, with a strong focus on Generative AI, Large Language Models (LLMs), RAG, knowledge bases, and agentic AI systems.
You will work across the full AI lifecycle, from data exploration and model development to production deployment, evaluation, optimization, and continuous improvement. You will collaborate with software engineers, data engineers, product teams, and domain experts across a multinational environment.
Key Responsibilities
- Design, develop, evaluate, and deploy machine learning and AI solutions for real-world problems.
- Apply strong ML and data science fundamentals and model evaluation.
- Develop Generative AI and LLM-powered applications using modern foundation models.
- Design and implement RAG pipelines, knowledge bases, semantic/hybrid search, and vector-based retrieval systems.
- Develop agentic AI and multi-step workflows using frameworks such as LangGraph and LangChain.
- Build agents capable of tool usage, reasoning, routing, state management, and multi-step task execution.
- Develop evaluation and monitoring approaches for ML, LLM, RAG, and agentic AI systems.
- Collaborate with technical and business stakeholders to translate complex problems into practical AI solutions.
Qualifications
Required
- 3–6 years of professional experience in data science, machine learning, AI engineering, or a related field.
- Strong machine learning and data science fundamentals are mandatory.
- Strong proficiency in Python and common ML/AI libraries.
- Hands-on experience developing and deploying ML/AI solutions in production.
- Practical experience with Generative AI and Large Language Models (LLMs).
- Experience with RAG, embeddings, vector databases, semantic search, or knowledge-based AI systems.
- Hands-on experience with LLM orchestration and agentic AI frameworks, preferably LangGraph and/or LangChain.
- Understanding of agentic architectures, tool calling, workflow orchestration, state management, and multi-step AI workflows.
- Strong analytical, problem-solving, and communication skills.
Preferred / Plus
- Experience building production-grade AI agents or multi-agent systems.
- Experience with LLM/RAG evaluation, observability, guardrails, and reliability techniques.
- Experience with cloud AI platforms such as AWS Bedrock, Azure OpenAI, or Google Vertex AI.
- Experience with Elasticsearch, OpenSearch, Solr, FAISS, pgvector, Pinecone, Milvus, or similar technologies.
Skills Required
- 2 to 5 years experience developing and deploying machine learning models in production
- Proficiency in Python
- Experience with data libraries such as pandas, matplotlib, NumPy
- Strong knowledge of machine learning frameworks and libraries
- Expertise in data preprocessing, feature engineering, and model selection
- Familiarity with large language models and AI agent design
- Strong communication skills to convey technical concepts to non-technical stakeholders
- Experience with text-based NLP, information extraction, and entity recognition
- Experience with vectorized databases and unstructured search engines
- Master's degree in Computer Science, Statistics, Data Science, or related field
- Publications or contributions to open-source projects
Arrow Electronics, Inc. Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Arrow Electronics, Inc. and has not been reviewed or approved by Arrow Electronics, Inc..
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Affordable Benefits — Medical coverage includes multiple options with income-tiered employer contributions that substantially reduce costs for lower-wage employees (the base plan was heavily subsidized for earners under $55,000). These affordability measures, alongside EAP and telemedicine, help the overall package offset middling base pay in some roles.
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Parental & Family Support — New parents receive fully paid leave (six weeks at 100% pay in prior materials, with more recent reporting of up to 12 weeks fully paid for the delivering parent in the U.S.). Backup dependent care and related family supports are also provided.
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Leave & Time Off Breadth — Many salaried roles have unlimited PTO, while hourly staff receive competitive accrual-based PTO, with added flexibility from floating holidays and observance of MLK Day. These options indicate a broad time-off framework across employee groups.
Arrow Electronics, Inc. Insights
What We Do
A Fortune 500 company, ranked #133 in 2024, with over 22,000 employees worldwide, Arrow guides innovation forward for over 220,000 leading technology manufacturers and service providers. With 2023 sales of $33 billion, Arrow develops technology solutions that improve business and daily life. Arrow.com is the easiest place for innovators to create, make and manage technology.
Why Work With Us
Arrow is much more than products and services. We are a team of many backgrounds in a global ecosystem, working toward one common goal: to help customers create a better tomorrow, where innovation improves the quality of life and the benefits of technology are more accessible to all. Join us in building a better tomorrow for many!
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