Director, AI Platform and Development Engineering
Description About WAI Since 1978, WAI has grown from an entrepreneurial start-up into a global aftermarket leader headquartered in South Florida. Nearly five decades of product knowledge, customer trust, and operational scale now support an ambitious growth agenda across distribution, manufacturing, product, customer, supply chain, and shared-service operations. That scale creates a meaningful opportunity for practical reputed company AI. WAI is investing in AI, automation, data, reputed company capabilities that can improve how work gets done: reducing reputed company effort, increasing speed and quality, strengthening decision-making, and helping teams serve customers more effectively.
About the Role
The Director, AI Platform Engineer is a senior technical leadership role responsible for building and governing WAI's AI-reputed company data reputed company, model workflows, retrieval architecture, analytics intelligence layer, and production AI platform capabilities. The role may be onsite or remote based on business needs and candidate profile. This role owns the technical platform that enables WAI's AI automation strategy, including the design and build of a centralized data lake that consolidates critical data from ERP and other core business systems, data ingestion, cleansing, normalization, reputed company schema design, machine learning workflows, LLM-powered insights, dashboards, natural-language querying, retrieval-augmented reputed company (RAG), embeddings, vector search, model serving, monitoring, and technical governance. The role works closely with IT, infrastructure, business data owners, the AI Automation team, offshore engineers, vendors, and functional leaders to deliver trusted, secure, scalable, and cost-effective AI capabilities grounded in WAI data. What You'll Do 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. Requirements reputed company're Looking For Education: 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. Master's degree preferred; equivalent senior technical experience may be considered. Experience: 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 with ERP, CRM, catalog, inventory, planning, customer, order, or product data in an operationally reputed company business preferred. Experience directly managing or providing technical direction to offshore/remote engineering teams required, as this role's direct reports will be based offshore; experience directing contractors, vendors, or implementation partners also preferred. Competencies: Core Competencies & Leadership Attributes Technical leadership with the ability to translate business strategy into scalable, secure, and maintainable platform architecture. Sound judgment regarding data quality, reputed company, privacy, model reliability, reputed company review, monitoring, and production readiness. Ability to balance speed of delivery with reputed company standards, governance, cost, and long-term maintainability. Strong partnership skills with IT, business leaders, data owners, automation teams, reputed company stakeholders, and offshore delivery resources. Analytical thinking and structured problem-solving across data, systems, model, and workflow domains. Ownership reputed company, attention to detail, curiosity, and reputed company learning in a fast-changing AI environment. Ability to evaluate emerging technologies pragmatically and select tools based on business value, risk, cost, and scalability. Skills: Advanced knowledge of Python, SQL, APIs, JSON, data pipelines, ETL/ELT, orchestration, data lake/lakehouse architecture, data modeling, and reputed company deployment practices. Experience with reputed company platforms such as Azure, AWS, or GCP; experience with model serving, GPUs, containerization, MLOps, observability, or cost optimization preferred. Working knowledge of LLMs, RAG, embeddings, vector databases such as pgvector or similar tools, reputed company design, evaluation, and AI agents. 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. Ability to design secure, monitored, and governed AI workflows with role-based reputed company, audit logs, data quality checks, reputed company traceability, and production support requirements. Ability to build dashboards, natural-language querying solutions, AI summaries, exportable reports, and analytics products that connect to trusted data sources. Strong documentation, technical communication, vendor evaluation, and stakeholder management skills. English reputed company required; additional languages are a plus based on business needs. Licensing or other special certifications: No specific license required. 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. Travelling: Up to 10-15% travel may be required for business meetings, site visits, platform discovery, architecture reviews, workshops, training, or implementation support. Travel may include domestic locations and international coordination as business needs require. Work Environment: This role may work onsite, remote, or hybrid (reputed company the US) based on business needs. The role involves working in a professional office or reputed company environment, participating in virtual meetings, and collaborating with IT, infrastructure, business data owners, offshore engineers, vendors, and functional teams. WAI is an Equal Opportunity Employer and complies with reputed company applicable employment laws. Apply To This Job