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7 results for Ai Architect in Fort Lauderdale, FL

ERP Architect
  • Miami, FL
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • <p>We are seeking an experienced ERP Architect to design, lead, and govern enterprise‑wide ERP solutions that support scalable business operations. This role bridges business strategy and technical execution, ensuring ERP platforms are optimized, integrated, secure, and aligned with organizational goals.</p><p>Key Responsibilities</p><ul><li>Own the end‑to‑end ERP architecture, including system design, data models, integrations, and security frameworks</li><li>Translate business requirements into scalable ERP solutions that support finance, operations, supply chain, HR, and manufacturing functions</li><li>Define ERP architecture standards, best practices, and governance frameworks</li><li>Lead ERP implementations, upgrades, and migrations (cloud, hybrid, or on‑prem)</li><li>Design and oversee system integrations between ERP and third‑party applications (CRM, WMS, BI, payroll, etc.)</li><li>Partner with business stakeholders to optimize ERP processes and drive continuous improvement</li><li>Provide architectural guidance to internal teams, implementation partners, and vendors</li><li>Ensure data integrity, performance, compliance, and system reliability</li><li>Support ERP roadmap planning, technology evaluations, and platform selection decisions</li><li>Troubleshoot complex system issues and guide long‑term architectural decisions</li></ul><p><br></p>
  • 2026-03-31T00:00:00Z
Software Architect
  • Fort Lauderdale, FL
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • <p><strong>Software Architect</strong></p><p>We are seeking an experienced <strong>Software Architect</strong> to guide the design, structure, and implementation of enterprise-level software systems. This role is ideal for someone who enjoys defining technical strategies, leading development standards, and designing scalable system architectures. The ideal candidate will have deep technical expertise, strong leadership, and the ability to collaborate across multiple teams.</p><p><strong>Responsibilities</strong></p><ul><li>Define architecture for enterprise applications including APIs, microservices, and distributed systems</li><li>Create high-level and detailed design documents, diagrams, and technical blueprints</li><li>Guide development teams on patterns, standards, and best practices</li><li>Evaluate tools, frameworks, and platforms to support technology strategy</li><li>Collaborate with DevOps and cloud teams to ensure scalable, secure, cloud-native designs</li><li>Conduct architectural reviews, code assessments, and system performance evaluations</li><li>Lead modernization efforts including refactoring legacy systems into modern architectures</li><li>Support integration strategies using APIs, queues, event-driven architectures, and cloud services</li><li>Mentor developers and ensure high-quality software delivery</li><li>Participate in roadmap planning, estimation, and cross-team collaboration</li></ul><p><br></p>
  • 2026-04-23T00:00:00Z
AI / ML Engineer
  • Delray Beach, FL
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • <p>The AI/ML Solutions Architect will lead the design, development, and deployment of advanced AI/ML solutions. This role combines deep technical expertise with strategic thinking to ensure AI/ML initiatives are successfully integrated into business operations. You will work closely with data scientists, engineers, and stakeholders to create architectures that maximize performance, scalability, and reliability.</p><p> </p><p><strong>Key Responsibilities:</strong></p><ul><li>Design end-to-end AI/ML architectures, including data pipelines, model training, deployment, and monitoring.</li><li>Collaborate with stakeholders to define AI/ML solution requirements aligned with business objectives.</li><li>Provide technical leadership and guidance to teams implementing AI/ML models and systems.</li><li>Develop scalable and secure solutions using cloud platforms (AWS, Azure, GCP) and MLOps best practices.</li><li>Ensure seamless integration of AI/ML models into existing IT systems and workflows.</li><li>Conduct feasibility studies, prototyping, and performance evaluations for new technologies and frameworks.</li><li>Stay updated on advancements in AI/ML and recommend innovative solutions to meet emerging needs.</li><li>Document technical designs, workflows, and implementation plans to ensure clarity and reproducibil</li></ul><p><br></p>
  • 2026-04-08T00:00:00Z
AI Governance Manager
  • Riviera Beach, FL
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • <p>The AI Governance Manager is responsible for establishing, implementing, and maintaining the organization’s artificial intelligence governance framework. This role ensures AI systems are designed, deployed, and managed in a secure, ethical, compliant, and business-aligned manner. The AI Governance Manager partners with IT, Security, Legal, Risk, Compliance, Data, and business stakeholders to create policies, assess risks, and oversee responsible AI practices across the enterprise.</p><p> </p><p><strong>Key Responsibilities</strong></p><ul><li>Develop and maintain enterprise-wide AI governance policies, standards, and procedures.</li><li>Establish frameworks for responsible AI, including fairness, transparency, explainability, accountability, and human oversight.</li><li>Lead AI risk assessments and evaluate models for regulatory, operational, reputational, and cybersecurity risks.</li><li>Create and manage AI inventory, model documentation, approval workflows, and lifecycle governance processes.</li><li>Partner with Legal, Compliance, Privacy, and Information Security teams to ensure adherence to applicable regulations and internal policies.</li><li>Monitor emerging AI-related regulations, standards, and industry best practices.</li><li>Oversee third-party AI vendor assessments, including due diligence, data handling, model risk, and contractual requirements.</li><li>Develop controls for data privacy, intellectual property protection, data retention, and acceptable use of generative AI tools.</li><li>Coordinate governance reviews for new AI initiatives, including approval, escalation, and remediation processes.</li><li>Design and deliver training programs on AI governance, responsible AI, and acceptable use policies.</li><li>Prepare executive-level reporting and dashboards on AI usage, compliance status, key risks, and remediation activities.</li><li>Support internal and external audits related to AI governance, model risk, privacy, and compliance.</li></ul><p><br></p>
  • 2026-04-08T00:00:00Z
AI/ML Engineer
  • Fort Lauderdale, FL
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • <p>Overview</p><p>We are seeking an AI / Machine Learning Engineer to design, build, deploy, and govern scalable ML and AI solutions across the enterprise. This role combines hands‑on model development with strong ownership of AI governance, risk management, and responsible AI practices to ensure models are explainable, secure, compliant, and production‑ready.</p><p>eKey Responsibilities</p><ul><li>Design, develop, train, and deploy machine learning and AI models for structured and unstructured data use cases</li><li>Build end‑to‑end ML pipelines including data ingestion, feature engineering, training, evaluation, deployment, and monitoring</li><li>Implement MLOps practices for versioning, CI/CD, model lifecycle management, and automated retraining</li><li>Collaborate with data engineers, product managers, and business stakeholders to translate requirements into AI solutions</li><li>Monitor model performance, drift, bias, and data quality in production environments</li><li>Optimize model accuracy, scalability, latency, and cost efficiency</li><li>Develop reusable ML components, libraries, and frameworks to accelerate delivery</li></ul><p>AI Governance &amp; Risk Responsibilities</p><ul><li>Embed AI governance controls across the model lifecycle (design, development, testing, deployment, decommissioning)</li><li>Ensure models meet enterprise standards for explainability, transparency, fairness, and auditability</li><li>Implement model documentation, lineage, and traceability (data sources, features, assumptions, limitations)</li><li>Perform model validation activities including bias testing, robustness testing, and performance benchmarking</li><li>Support regulatory, compliance, and legal requirements (e.g., model risk management, data privacy, internal audits)</li><li>Partner with security teams to ensure secure model development and protection of sensitive data</li><li>Contribute to responsible AI policies, standards, and best practices across the organization</li></ul>
  • 2026-04-09T00:00:00Z
AI/ML Engineer
  • Miami, FL
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • <p>Overview</p><p>We are seeking an AI / Machine Learning Engineer to design, build, deploy, and govern scalable ML and AI solutions across the enterprise. This role combines hands‑on model development with strong ownership of AI governance, risk management, and responsible AI practices to ensure models are explainable, secure, compliant, and production‑ready.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, develop, train, and deploy machine learning and AI models for structured and unstructured data use cases</li><li>Build end‑to‑end ML pipelines including data ingestion, feature engineering, training, evaluation, deployment, and monitoring</li><li>Implement MLOps practices for versioning, CI/CD, model lifecycle management, and automated retraining</li><li>Collaborate with data engineers, product managers, and business stakeholders to translate requirements into AI solutions</li><li>Monitor model performance, drift, bias, and data quality in production environments</li><li>Optimize model accuracy, scalability, latency, and cost efficiency</li><li>Develop reusable ML components, libraries, and frameworks to accelerate delivery</li></ul><p>AI Governance &amp; Risk Responsibilities</p><ul><li>Embed AI governance controls across the model lifecycle (design, development, testing, deployment, decommissioning)</li><li>Ensure models meet enterprise standards for explainability, transparency, fairness, and auditability</li><li>Implement model documentation, lineage, and traceability (data sources, features, assumptions, limitations)</li><li>Perform model validation activities including bias testing, robustness testing, and performance benchmarking</li><li>Support regulatory, compliance, and legal requirements (e.g., model risk management, data privacy, internal audits)</li><li>Partner with security teams to ensure secure model development and protection of sensitive data</li><li>Contribute to responsible AI policies, standards, and best practices across the organization</li></ul>
  • 2026-04-09T00:00:00Z
Sr Applications Architect
  • Coral Gables, FL
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • <p>We are seeking an experienced Application Architect to design, guide, and govern complex, scalable application systems across multiple product lines. This role partners closely with engineering, product, security, and infrastructure teams to ensure software solutions are robust, maintainable, and aligned with long‑term business and technical strategy.</p><p>The ideal candidate combines deep software engineering expertise with strong architectural judgment, and can influence teams without direct authority.</p><p><br></p><p>Key Responsibilities</p><ul><li>Define and evolve application architecture standards across distributed, cloud‑native systems</li><li>Design scalable, secure, and highly available application architectures for web, API, and service‑based platforms</li><li>Partner with engineering teams to translate business requirements into technical designs and reference architectures</li><li>Review system designs, code patterns, and technical proposals to ensure alignment with architectural principles</li><li>Guide technology selection, framework adoption, and integration strategies</li><li>Ensure architectures meet non‑functional requirements (performance, reliability, security, observability, cost)</li><li>Collaborate with infrastructure and platform teams on cloud, container, and deployment strategies</li><li>Influence technical roadmaps and drive architectural consistency across teams</li><li>Identify technical debt and propose pragmatic modernization strategies</li><li>Serve as a technical mentor to senior engineers and technical leads</li></ul>
  • 2026-04-27T00:00:00Z