Top AI & Machine Learning Jobs

Designs and leads enterprise AI solutions for internal and external clients. Develops AI strategies, architecture standards, reusable frameworks, and production-ready solutions using Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, and Power Platform. Advises executives, guides discovery through optimization, evaluates emerging technologies, establishes security and governance requirements, assesses AI readiness and risk, and mentors delivery teams across client engagements.

Leads enterprise infrastructure and artificial intelligence integration across UCF. Develops AI adoption strategies, infrastructure and technology roadmaps, cloud and data center services, enterprise applications, collaboration platforms, and digital workplace capabilities. Partners with executives to scale AI initiatives, establish governance and responsible AI practices, manage vendors and technology portfolios, and present investment priorities to leadership and governing boards.

Develop and operate scalable AI inference solutions for scientific workflows on HPC systems and AI accelerators. Build Python REST services, integrate AI models, optimize inference performance, and support distributed workloads involving batching, scheduling, memory management, and observability. Collaborate with scientific application teams, academic and industry partners, national laboratories, and agencies to advance AI-enabled scientific computing.

Administer and secure the AI Workbench platform across hybrid, cloud, and on-premises environments. Manage access controls, users, agents, workflows, integrations, RAG pipelines, vector knowledge bases, LLM connections, monitoring, governance, and deployment workflows. Coordinate with DevOps, DataOps, security, engineering, and client teams to maintain platform performance, availability, compliance, and operational readiness. The role requires extensive enterprise platform experience, AI/ML platform expertise, and an active Secret clearance.

Leads AI transformation and technology strategy across a portfolio of software companies. Responsibilities include establishing AI-first development practices, modernizing engineering organizations, setting architecture and security standards, guiding technical roadmaps, recruiting technical leaders, creating AI-native ventures, and leading technical due diligence and integration for acquisitions.

Summer quantitative trading intern supporting commodities and capital markets through quantitative research and production-grade predictive models. The role develops deep learning, neural network, and large language model applications in PyTorch using large datasets to support trading strategies involving futures, options, and structured products. Responsibilities include model development, quantitative investment strategy support, stakeholder presentations, and collaboration with a lead strategist in an in-person trading environment.

Build custom reports and data products from client requirements through coding and ongoing delivery. Apply quantitative analysis, data mining, and research to generate strategic insights from raw datasets and algorithms. Partner with Engineering and Advisory Services teams to scale solutions and answer complex business questions. Independently manage projects while communicating with clients and stakeholders.

Design and build real-time, highly concurrent software and cloud-native systems for an AI-powered emergency communications platform. Integrate and deploy LLMs, optimize voice and audio-processing pipelines, and support speech recognition, synthesis, detection, and filtering. Contribute to infrastructure, observability, security, scalability, and fault tolerance. Provide technical leadership through architecture decisions, code reviews, mentoring, and engineering best practices.

Implements AI-enabled workflows across PGA Tour departments by documenting processes, translating stakeholder needs into requirements, configuring enterprise AI tools, building prototypes, integrating systems, and supporting rollout. The role evaluates platforms, integrations, and vendor solutions; troubleshoots workflows; trains users; maintains documentation; and partners with engineering, data science, cybersecurity, privacy, operations, and vendors to deliver secure, reliable, measurable improvements.

Lead client-facing AI program governance and delivery as PMO manager. Translate business objectives into AI roadmaps and OKRs, oversee AI/ML lifecycle, ensure data readiness, model validation, deployment, and responsible AI compliance. Manage PMO standards, portfolio prioritization, AI-augmented reporting, and lead executive communications while mentoring PMs, TPMs, and analysts.