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4 results for Ai Architect in West Palm Beach, FL

Applications Architect

Boca Raton, FL
onsite
Temporary
0 - 0 USD / Yearly
We are seeking an experienced Applications Architect 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. The Applications Architect works closely with business stakeholders, project managers, developers, and infrastructure teams to ensure applications support business objectives while minimizing technical risk.
2026-04-08T00:00:00Z

AI / ML Engineer

Delray Beach, FL
onsite
Temporary
0 - 0 USD / Yearly
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. Key Responsibilities:<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>
2026-04-08T00:00:00Z

AI Governance Manager

Riviera Beach, FL
onsite
Temporary
0 - 0 USD / Yearly
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. Key Responsibilities<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>
2026-04-08T00:00:00Z

AI/ML Engineer

Fort Lauderdale, FL
onsite
Temporary
0 - 0 USD / Yearly
OverviewWe 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.eKey Responsibilities<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>AI Governance & Risk Responsibilities<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