- Partner with business and product leaders to identify and prioritize high-impact AI opportunities across merchandising, supply chain, marketing, stores, and e-commerce.

AI Solutioning & Design :

- Architect end-to-end AI solutions, including data ingestion, feature engineering, model training, inference, and system integration.

- Design AI systems for core retail domains such as :

1. Search, recommendations, and personalization

2. Demand forecasting, inventory optimization, replenishment, and allocation

3. Pricing and markdown optimization

- AI assistants and copilots for store, merchandising, and supply-chain teams

- Define integration patterns between AI services and retail platforms (POS, OMS, WMS, CRM, e-commerce).

- Lead architectural reviews, ensuring solutions meet performance, scalability, security, cost, and reliability requirements.

MLOps, GenAI & Governance :

- Establish MLOps and AIOps practices, including CI/CD for models, automated retraining, monitoring, drift detection, and cost controls.

- Define standards for Generative AI and LLM usage, including :

1. Multi RAG architectures, MCP and vector search

2. Prompt orchestration and tool-calling

3. Safety, guardrails, and human-in-the-loop workflows

- Ensure AI solutions comply with data privacy, security, and responsible AI principles.

- Partner with Security, Legal, and Enterprise Architecture to align AI solutions with governance and risk standards.

Technology Evaluation, Implementation & Delivery Leadership :

- Work closely with AI Engineers, ML Engineers, Data Engineers, and platform teams to ensure architectures are production-ready and executable.

- Provide hands-on guidance during implementation, including reference code, pipelines, schemas, and infrastructure patterns.

- Evaluate and recommend AI SAAS solutions, cloud services, and frameworks (AWS, Azure, GCP, Databricks, etc.).

- Lead build vs. buy decisions and support vendor selection for AI capabilities.

Required Qualifications :

- 9+ years of experience in software, data, or AI engineering, with 5+ years in AI/ML architecture roles.

- Proven experience designing and delivering production AI solutions in retail, e-commerce, supply chain, or adjacent domains.

- Strong hands-on expertise in :

1. Python and ML frameworks (PyTorch, TensorFlow, scikit-learn)

2. Modern data architectures (lakehouse, streaming, batch pipelines)

3. Modern Data Platforms (Databricks, Snowflake)

4. Cloud platforms and managed AI/ML services

5. MLOps practices (model lifecycle, monitoring, CI/CD)

- Solid understanding of LLMs, Generative AI patterns, and AI system integration.

- Excellent communication skills with the ability to explain complex architectures to both technical and business stakeholders.

Preferred Qualifications :

- Deep experience in retail or consumer-facing industries (merchandising, stores, supply chain, digital commerce).

- Experience building or scaling enterprise AI platforms or AI Centers of Excellence.