13 дней назад
Solutions Architect - AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Solutions Architect - AI (Retail/Open-Source AI): Defining and delivering enterprise AI architectures for retail use cases with an accent on open-source frameworks, end-to-end solution design, observability, security, and MLOps. Focus on designing scalable GenAI and ML platforms, securing LLM deployments, building production monitoring and feedback loops, and integrating AI with retail systems.
Location: Philadelphia, Pennsylvania, United States
Company
is a large retail company operating stores and e-commerce experiences with more than 35,000 crew members.
What you will do
- Define enterprise AI architecture, reference patterns, standards, and solution blueprints for merchandising, supply chain, stores, marketing, and e-commerce.
- Lead the evaluation and integration of open-source AI and ML frameworks, including LLM deployment, fine-tuning, serving, and agentic workflows.
- Architect end-to-end AI systems for search, recommendations, personalization, demand forecasting, inventory, pricing, store assistants, and supply-chain copilots.
- Design AI observability with model monitoring, drift detection, feedback loops, dashboards, alerting, and GenAI quality and cost tracking.
- Own AI security architecture, threat modeling, red-teaming, privacy controls, guardrails, and human-in-the-loop safeguards.
- Establish MLOps, AIOps, governance, AI productivity tooling, and build-versus-buy-versus-open-source practices while supporting implementation.
Requirements
- 9+ years of experience in software, data, or AI engineering, including 5+ years in AI/ML architecture roles.
- Production AI experience in retail, e-commerce, supply chain, or another consumer-facing industry is required.
- Hands-on expertise with open-source AI/ML tools such as Hugging Face Transformers, LangChain, LlamaIndex, MLflow, Ray, Feast, and Evidently.
- Strong Python and ML framework skills, including PyTorch, TensorFlow, and scikit-learn, plus modern lakehouse, streaming, and batch data architectures.
- Experience with AI observability, AI security threat models, secure LLM deployment, cloud AI/ML services, and platforms such as Databricks or Snowflake.
- Established daily use of AI productivity tools and the ability to explain complex architectures to technical and business stakeholders.
Nice to have
- Experience scaling enterprise AI platforms or AI Centers of Excellence.
- Open-source AI contributions or published architecture patterns.
- AI red-teaming, adversarial testing, or formal AI risk assessment experience.
- Experience with Manhattan WMS, Blue Yonder, Aptos POS, Salesforce Commerce Cloud, or equivalent retail platforms.
- Cloud or AI certifications such as AWS ML Specialty, Azure AI Engineer, or GCP Professional ML Engineer.
Culture & Benefits
- Full-time employment at .
- Health coverage and financial and personal wellness support.
- Equal opportunity employment and reasonable accommodations during the hiring process.
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