REI
Senior Principal Engineer
We are seeking a highly skilled and experienced Senior Principal Engineer to lead our Agentic and Generative AI initiatives. In this role, you will act as the AI expert and thought leader, defining the strategy and technical roadmap for Agentic AI at REI. You will be a key influencer in our AI transformation, ensuring the ethical, performant, and innovative use of AI technologies, including ML, NLP, LLM, Generative and Agentic AI. You will work closely with cross‑functional teams to deliver agentic solutions that shape both customer and employee experiences.
Responsibilities
Define and lead REI's Agentic AI strategy and roadmap, translating business objectives into scalable, actionable initiatives.
Engineer and oversee the implementation of core AI platforms, models, and integrations, ensuring they are robust, secure, and aligned with REI's technology stack.
Stay at the forefront of Agentic AI advancements, identifying emerging technologies and assessing their applicability to REI's unique needs.
DemonstRATE coding standards, model evaluation methodologies, responsible AI guidelines, and MLOps practices; mentor and upskill technology staff across Commerce and Customer Technology teams.
Collaborate with Product, Merchandising, Marketing, Retail, and Operations to identify high‑impact use cases and drive successful pilot programs and widespread adoption of AI solutions.
Participate in 24/7 incident response for AI systems, ensuring reliability and performance.
Qualifications
Deep experience in strategic vision for AI initiatives and foundational architecture building.
Ability to navigate technical complexity, ethical considerations, and data governance challenges in Generative AI.
Strong influence and standardization skills to drive adoption across engineering teams and departments.
Mentorship and team‑growth mindset; ability to build internal capability and attract specialized talent.
Proven record of rapid impact – assessing current state, identifying critical paths, and initiating high‑value projects with minimal oversight.
Required Skills & Experience
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
10+ years of software engineering experience, with 5+ years specializing in AI/ML systems.
Extensive experience with AI/ML frameworks and libraries such as TensorFlow and PyTorch.
Deep proficiency in Python and the full machine‑learning lifecycle, from data engineering to model deployment.
Expertise in CI/CD for ML (MLOps) with tools like MLflow, Kubeflow, or Argo.
Experience with cloud‑based AI platforms (e.g., AWS SageMaker, Azure ML, GCP Vertex AI).
Strong grasp of AI ethics, fairness, and interpretability.
Proven experience leading AI projects in large‑scale enterprise environments.
Exceptional problem‑solving skills and strategic thinking.
Strong communication and leadership skills with the ability to influence and mentor teams.
Core Technical Expertise
10+ years of software engineering, 5+ years building and deploying AI/ML systems at scale.
Deep Generative AI & LLM expertise:
Hands‑on experience with modern generative AI development frameworks and tools (e.g., LangChain, LlamaIndex).
Deep comprehension of LLM architectures (GPT, BERT, T5) and ability to train, fine‑tune, and deploy these models.
Proficiency in Prompt Engineering, including advanced techniques for model control and optimization.
Experience with advanced retrieval systems and architectures such as RAG and vector databases.
AI/ML Frameworks & Languages:
Expert‑level proficiency in Python.
Hands‑on experience with mainstream AI frameworks (PyTorch, TensorFlow).
MLOps & Productionization:
Designed and implemented full ML lifecycles from data engineering to deployment.
CI/CD for ML with MLflow, Kubeflow, or similar platforms.
Architected and maintained production‑grade machine‑learning pipelines that are scalable and reliable.
Cloud AI Platforms:
Extensive experience with AWS SageMaker, Azure Machine Learning, or GCP Vertex AI.
Deep knowledge of distributed computing and parallel processing for large‑scale datasets and model training.
Experience With AI Agent Platforms
Hands‑on experience building agents and intelligent applications using leading AI platforms and services:
Microsoft Copilot Studio: creating and customizing conversational agents and copilots.
Anthropic: familiarity with Claude models and API for building sophisticated conversational AI.
Amazon Bedrock Agents: building multi‑step, autonomous agents and orchestrating them with company systems and APIs.
Google Vertex AI Agent Builder: developing and deploying multi‑agent systems.
Closing At REI, we believe the outdoors is for all. We are committed to becoming a fully inclusive, anti‑racist, multicultural organization. We know that there is strength in our diversity – each employee brings unique skills, experiences, and perspectives. Every day you are driving change, fostering a culture of respect, and are backed by benefits that support your whole life.
Pay Transparency We are committed to practices that promote pay equity and transparency. As required by applicable Pay Transparency laws, REI provides a range of compensation for roles that may be hired in locations under these requirements. Factors that may be used to determine your actual salary may include a wide array of factors, including your specific skills and experience, geographic location or other relevant factors.
Pay Range $144,000.00 – $244,800.00 per year
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Responsibilities
Define and lead REI's Agentic AI strategy and roadmap, translating business objectives into scalable, actionable initiatives.
Engineer and oversee the implementation of core AI platforms, models, and integrations, ensuring they are robust, secure, and aligned with REI's technology stack.
Stay at the forefront of Agentic AI advancements, identifying emerging technologies and assessing their applicability to REI's unique needs.
DemonstRATE coding standards, model evaluation methodologies, responsible AI guidelines, and MLOps practices; mentor and upskill technology staff across Commerce and Customer Technology teams.
Collaborate with Product, Merchandising, Marketing, Retail, and Operations to identify high‑impact use cases and drive successful pilot programs and widespread adoption of AI solutions.
Participate in 24/7 incident response for AI systems, ensuring reliability and performance.
Qualifications
Deep experience in strategic vision for AI initiatives and foundational architecture building.
Ability to navigate technical complexity, ethical considerations, and data governance challenges in Generative AI.
Strong influence and standardization skills to drive adoption across engineering teams and departments.
Mentorship and team‑growth mindset; ability to build internal capability and attract specialized talent.
Proven record of rapid impact – assessing current state, identifying critical paths, and initiating high‑value projects with minimal oversight.
Required Skills & Experience
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
10+ years of software engineering experience, with 5+ years specializing in AI/ML systems.
Extensive experience with AI/ML frameworks and libraries such as TensorFlow and PyTorch.
Deep proficiency in Python and the full machine‑learning lifecycle, from data engineering to model deployment.
Expertise in CI/CD for ML (MLOps) with tools like MLflow, Kubeflow, or Argo.
Experience with cloud‑based AI platforms (e.g., AWS SageMaker, Azure ML, GCP Vertex AI).
Strong grasp of AI ethics, fairness, and interpretability.
Proven experience leading AI projects in large‑scale enterprise environments.
Exceptional problem‑solving skills and strategic thinking.
Strong communication and leadership skills with the ability to influence and mentor teams.
Core Technical Expertise
10+ years of software engineering, 5+ years building and deploying AI/ML systems at scale.
Deep Generative AI & LLM expertise:
Hands‑on experience with modern generative AI development frameworks and tools (e.g., LangChain, LlamaIndex).
Deep comprehension of LLM architectures (GPT, BERT, T5) and ability to train, fine‑tune, and deploy these models.
Proficiency in Prompt Engineering, including advanced techniques for model control and optimization.
Experience with advanced retrieval systems and architectures such as RAG and vector databases.
AI/ML Frameworks & Languages:
Expert‑level proficiency in Python.
Hands‑on experience with mainstream AI frameworks (PyTorch, TensorFlow).
MLOps & Productionization:
Designed and implemented full ML lifecycles from data engineering to deployment.
CI/CD for ML with MLflow, Kubeflow, or similar platforms.
Architected and maintained production‑grade machine‑learning pipelines that are scalable and reliable.
Cloud AI Platforms:
Extensive experience with AWS SageMaker, Azure Machine Learning, or GCP Vertex AI.
Deep knowledge of distributed computing and parallel processing for large‑scale datasets and model training.
Experience With AI Agent Platforms
Hands‑on experience building agents and intelligent applications using leading AI platforms and services:
Microsoft Copilot Studio: creating and customizing conversational agents and copilots.
Anthropic: familiarity with Claude models and API for building sophisticated conversational AI.
Amazon Bedrock Agents: building multi‑step, autonomous agents and orchestrating them with company systems and APIs.
Google Vertex AI Agent Builder: developing and deploying multi‑agent systems.
Closing At REI, we believe the outdoors is for all. We are committed to becoming a fully inclusive, anti‑racist, multicultural organization. We know that there is strength in our diversity – each employee brings unique skills, experiences, and perspectives. Every day you are driving change, fostering a culture of respect, and are backed by benefits that support your whole life.
Pay Transparency We are committed to practices that promote pay equity and transparency. As required by applicable Pay Transparency laws, REI provides a range of compensation for roles that may be hired in locations under these requirements. Factors that may be used to determine your actual salary may include a wide array of factors, including your specific skills and experience, geographic location or other relevant factors.
Pay Range $144,000.00 – $244,800.00 per year
#J-18808-Ljbffr