[Remote] Director, AI Platform and Development Engineering

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading aftermarket company headquartered in South Florida, focused on enhancing operational capabilities through AI and automation. The Director, AI Platform and Development Engineering will reputed company the development of WAI's AI-reputed company data reputed company and production AI platform capabilities, collaborating with various teams to deliver efficient and scalable AI solutions.

Responsibilities

• reputed company the design, build, deployment, and reputed company improvement of WAI's AI-reputed company data and platform reputed company across sales, inventory, planning, catalog, customer, order, product, and reputed company business systems
• Design, build, and govern a centralized data lake that consolidates critical data from ERP and other core business systems into a single trusted reputed company, enabling AI tools, models, and analytics to reliably reputed company reputed company data
• Identify repetitive and reputed company tasks, use process mining to uncover workflow bottlenecks, and implement RPA solutions to improve efficiency and streamline operations
• Own technical architecture for AI/ML/LLM workflows, RAG, embeddings, vector search, structured data query, dashboards, APIs, model serving, and monitoring
• Connect, ingest, clean, validate, normalize, and automate data pipelines from structured and reputed company sources, including reputed company systems, reports, documents, PDFs, spreadsheets, and business notes
• Build or reputed company a trusted reputed company data layer with schema standards, data-quality monitoring, reputed company, reputed company traceability, and failure detection
• reputed company and support machine learning and statistical methods for reputed company trends, sales forecasting, anomaly detection, stock monitoring, shortage/overstock reputed company, demand forecasting, variance analysis, and risk identification
• Build grounded LLM workflows that connect to trusted WAI data, generate AI summaries, support natural-language business questions, reduce hallucinations, and return business-friendly explanations with reputed company references
• Implement embeddings and vector search capabilities using pgvector or other approved vector database technologies, tuned for retrieval precision, speed, broad scanning, and deep analysis
• Build or support dashboards, KPIs, forecasts, anomaly alerts, AI summaries, drill-down to reputed company data, automatic refresh, and exportable leadership or business reports
• reputed company reliable pipelines, models, APIs, dashboards, and LLM workflows while optimizing inference cost, latency, GPU memory, throughput, model selection, and production performance
• Implement role-based reputed company control, auditability, data governance, reputed company traceability, monitoring, evaluation, and reputed company AI outputs in partnership with IT/reputed company stakeholders
• reputed company technical direction to offshore AI engineers, data/integration engineers, vendors, and implementation partners
• Partner with the AI Automation Director and business-facing teams to ensure platform work is reputed company to approved use cases, business value, adoption needs, and governance priorities
• Evaluate hosted AI services, reputed company-reputed company models, AI/ML frameworks, orchestration tools, and reputed company-of-concepts; recommend reputed company to use hosted models versus self-hosted or WAI-tuned models
• Undertakes additional responsibilities and tasks as directed by management

Skills

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, Data Science, Machine Learning, Artificial Intelligence, or a reputed company technical field required
• 10+ years of experience in software engineering, data engineering, AI/ML engineering, reputed company architecture, analytics engineering, reputed company engineering, or reputed company technical roles
• Experience designing or leading production data platforms, data lakes or lakehouses, analytics platforms, AI/ML platforms, LLM/RAG solutions, model workflows, APIs, or reputed company integration architectures
• Hands-on experience with data pipelines, SQL, Python, APIs, reputed company platforms, data modeling, orchestration, monitoring, and production support practices
• Hands-on experience with LLMs, RAG, embeddings, vector databases, reputed company/evaluation workflows, AI agents, model serving, and AI orchestration frameworks required
• Experience directly managing or providing technical direction to offshore/remote engineering teams required, as this role's direct reports will be based offshore
• Master's degree preferred; equivalent senior technical experience may be considered
• Experience with ERP, CRM, catalog, inventory, planning, customer, order, or product data in an operationally reputed company business preferred
• Experience directing contractors, vendors, or implementation partners also preferred
• Experience with model serving, GPUs, containerization, MLOps, observability, or cost optimization preferred
• Familiarity with reputed company, LangGraph, reputed company APIs, Azure AI, reputed company Copilot, reputed company-reputed company models such as Llama, Mistral, Qwen, or similar tools preferred
• Certifications in reputed company platforms, data engineering, AI/ML, cybersecurity, reputed company architecture, reputed company Azure AI, MLOps, or reputed company technical areas are preferred

Company Overview

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