Operate as a trusted technical expert within Crocs Inc. on AI/ML technology and applications, including AI/ML embedded in SaaS or other 3rd party software.
Lead the architecture and design of AI/ML applications and AI/ML components integrated into other enterprise applications.
Hands-on development of rapid prototypes, as well as scaled AI/ML applications, ensuring the technology systems are scalable, reliable and built for growth.
Work closely with multi-functional teams including IT and various business teams to identify, refine and prioritize high impact AI/ML use cases across the enterprise.
Develop architecture and process diagrams and communicate in ways that can be consumed by different levels of the organization with varying degrees of detail to ensure alignment up and down with the same understanding.
Develop and maintain solution architectural documentation that describes current and future technology state, including data flow diagrams, system architecture diagrams, and technical specifications.
Design and implement scalable solutions that support both US and international operations.
Ensure all systems and processes adhere to global industry standards and regulatory requirements, particularly concerning data security and privacy.
Provide guidance and mentorship to junior team members, including external vendor resources, fostering a culture of continuous learning and improvement.
Identify and mitigate risks across the end-to-end solution where subject matter expertise required.
Develop strong relationships with regional leaders, external partners, and vendors.

Requirements

Bachelor’s or graduate (master’s or PhD) degree in a quantitative discipline (e.g., Computer Science, Engineering, Physics, Operations Research, etc.)
7+ years of experience with a bachelor’s OR 5+ years of experience with a master’s OR 2+ years of experience with a PhD.
Professional experience in AI or machine learning roles, which may include AI/ML software engineering roles
Proven experience in designing, implementing and deploying scaled AI/ML enterprise applications, with functional applications in some of the following: AI assistants & custom GPTs, demand forecasting, supply chain optimization, white space & assortment optimization, macro-space optimization, pricing, promotions & markdown optimization, NLP & NLU, product recommendation, targeted marketing & personalization, simulations, labor forecasting & staffing optimization, routing & network optimization, intelligent automation & decisioning, etc.
Expertise in AI/ML algorithms including deep learning frameworks (TensorFlow, PyTorch, etc.)
Deep expertise in Python.
Additional programming languages (such as Spark, Rust, etc.) a plus
Strong knowledge of large language models, GenAI, and RAG frameworks
Familiarity with retail or apparel business is a plus
Excellent problem-solving skills with a strategic attitude
Ability to work in a fast-paced, dynamic environment with multiple priorities.
Exposure to AI ethics and compliant use of data
Effective communication skills to provide complex technical information to both technical and non-technical personnel
Ability to partner with suppliers, business customers, and IT staff on multi-functional projects and service improvements
Skills and proven ability to analyze complex problems and break them down into logical, actionable parts
Excellent analytical skills

Benefits

Medical coverage
Dental coverage
Vision coverage
Life insurance
Short-term disability coverage
Long-term disability coverage
Paid time off
Employee assistance program
Participation in 401k program that includes company match
Other additional voluntary benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AImachine learningAI/ML software engineeringdeep learning frameworksTensorFlowPyTorchPythonlarge language modelsGenAIRAG frameworks

Soft Skills

problem-solvingstrategic attitudeeffective communicationanalytical skillsability to work in a fast-paced environmentability to partner with suppliersmentorshiprisk identificationrelationship buildingcontinuous learning