AI Technical Architect (retail domain expert)

15+ years of software engineering/technology experience, including substantial hands-on experience architecting and engineering enterprise AI/ML/GenAI systems.
Strong foundation in machine learning, including supervised and unsupervised learning, feature engineering, model selection, evaluation, experimentation and optimization.
Strong deep learning expertise with practical experience in neural network architectures such as transformers, CNNs, sequence models and representation/embedding learning.
Strong expertise in Generative AI, LLMs, RAG, AI Agents and Agentic AI, including tool use, orchestration, memory/context strategies and evaluation.
Hands-on proficiency in Python and modern AI/ML frameworks such as PyTorch, TensorFlow/Keras, scikit-learn and related model development libraries.
Proven experience deploying AI/ML/GenAI solutions to production, including real-time and batch inference, API/model serving, scalability, resilience and performance optimization.
Strong experience with MLOps/LLMOps, including experiment tracking, model/prompt versioning, CI/CD, model registries, automated testing/evaluation, monitoring, drift detection and lifecycle management.
Experience with AWS, Azure and/or GCP, including AI/ML platforms and services such as Azure Machine Learning/Azure OpenAI, AWS SageMaker/Bedrock or Google Vertex AI.
Strong understanding of embeddings, vector databases, retrieval techniques, prompt/context engineering, LLM evaluation and grounding/citation approaches.
Experience with data and feature pipelines, distributed processing and the data engineering patterns required to support production AI systems.
Experience with Docker, Kubernetes, Git, CI/CD, APIs/microservices and modern software engineering practices for production AI applications.
Strong understanding of AI security, privacy, governance, explainability, bias/fairness, model risk and responsible AI.
Proven experience building enterprise AI platforms, reusable accelerators, shared AI services or AI Centers of Excellence.
Ability to make sound architecture trade-offs across classical ML, deep learning and GenAI approaches based on accuracy, latency, cost, maintainability, data availability and business value.
Strong retail, digital commerce or customer experience domain experience preferred.
Excellent communication, consulting, stakeholder management and client-facing skills, with the ability to engage effectively with both CXO-level stakeholders and hands-on engineering teams.

Work arrangement
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