AI Architect / Artificial Intelligence ArchitectADROITENT • New York, New York, United States
AI Architect / Artificial Intelligence Architect
ADROITENT
- New York, New York, United States
- New York, New York, United States
Über
Define and own the enterprise AI architecture for retail use cases, aligning with business priorities and technology strategy.
Develop reference architectures, patterns, and standards for AI/ML and Generative AI solutions.
Translate retail business problems into scalable AI solution blueprints with clear data, model, and integration designs.
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: Search, recommendations, and personalization
Demand forecasting, inventory optimization, replenishment, and allocation
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: Multi RAG architectures, MCP and vector search
Prompt orchestration and tool-calling
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: Python and ML frameworks (PyTorch, TensorFlow, scikit-learn)
Modern data architectures (lakehouse, streaming, batch pipelines)
Modern Data Platforms (Databricks, Snowflake)
Cloud platforms and managed AI/ML services
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.
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Sprachkenntnisse
- English
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