Add your latest resume to match with open positions.
5 results for Ai Architect in Miami, FL
- 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
- Boca Raton, FL
- onsite
- Temporary / Contract
- 0 - 0 USD / Yearly
- <p>We are seeking an experienced <strong>Applications Architect</strong> to design, govern, and optimize enterprise application landscapes. This role is responsible for defining application architecture standards, ensuring integration and alignment across business systems, and guiding the implementation of scalable, secure, and maintainable technology solutions.</p><p><br></p><p>The Applications Architect works closely with business stakeholders, project managers, developers, and infrastructure teams to ensure applications support business objectives while minimizing technical risk.</p>
- 2026-04-08T00:00:00Z
- 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
- 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 & 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
- 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 & 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