Artificial Intelligence

• Identify opportunities to leverage AI and automation to improve business processes, product capabilities, and client outcomes.
• Research emerging AI technologies, tools, and industry trends relevant to healthcare and enterprise software.
• Build prototypes, prompts, workflows, and proof-of-concepts using generative AI and automation platforms.
• Assist with documenting business requirements, current-state processes, and future-state AI-enabled workflows.
• Partner with Product, Engineering, Operations, Marketing, and Sales teams on strategic AI initiatives.
• Analyze business processes and recommend opportunities for increased efficiency through automation.
• Support AI pilots by collecting feedback, measuring results, and documenting lessons learned.
• Prepare presentations, reports, and executive-ready materials summarizing recommendations and project outcomes.
• Participate in cross-functional meetings and contribute ideas that support SS&C Health's innovation strategy.
• Complete assigned projects independently while managing priorities and meeting established deadlines.

Healthcare AI & Automation Intern

• Lead discovery workshops to clarify business objectives, constraints, and measurable success criteria for AI/ML initiatives
• Translate requirements into end-to-end target-state architectures across data, ML/AI, application integration, security, and governance
• Define pragmatic tradeoffs across accuracy, latency, cost, reliability, privacy, and risk—and communicate decisions to exec and engineering audiences
• Design the data + model lifecycle (pipelines, training/finetuning, serving, monitoring, drift detection, retraining) and the required MLOps/LLMOps foundations
• Establish integration patterns with enterprise systems (APIs/events/workflows, IAM, observability) so solutions are operable and supportable in production
• Partner with security, privacy, and risk teams to embed controls (access, auditability, data handling, responsible AI) into solution designs
• Produce core delivery artifacts (architecture diagrams, reference patterns, implementation roadmap, runbooks) and drive architecture reviews
• Mentor teams and build reusable assets/accelerators (reference architectures, templates, evaluation scorecards) to scale repeatable delivery quality

AI-ML Director

• Developing and implementing AI-powered contact center solutions using tools such as Dialogflow and Amazon Lex
• Designing and prototyping user interfaces with a focus on usability and accessibility, utilizing Figma and HTML5
• Conducting user research and analysis to inform the design and customization of interactive systems
• Collaborating with cross-functional teams to integrate Agentic AI protocols and enhance customer experience strategies
• Creating and refining mock-ups and prototypes to align with client requirements and feedback
• Analyzing industry trends to identify opportunities for innovation in user interaction engineering
• Leading the development of natural language interfaces and voice design for enhanced user engagement
• Utilizing AngularJS frameworks to build responsive and dynamic web applications
• Managing workflow development and analysis to optimize processes and improve efficiency
• Applying human-centered design principles to create intuitive and user-friendly digital products

Senior Associate, Conversational AI, Agentic AI

• Conduct training sessions for SNHU community members to ensure use of AI tools and technologies
• Provide support in the form of hands-on guidance and consultation
• Help optimize existing AI-driven processes to improve operational and educational efficiency
• Collaborate with cross-functional teams to support AI Proofs of Concept, projects, and product exploration
• Assist in brainstorming and planning for faculty and staff ideas related to AI integration
• Develop training materials, guides, and resources to support AI tool adoption across the institution
• Attendance, punctuality, and reliability are essential functions of this role
• Other responsibilities as assigned

AI Integration Specialist

• Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout.
• Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy.
• Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards.
• Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation.
• Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation.

Manager, AI Agents and Automation

• Design and build training content across formats, including: Self-paced eLearning modules, Video tutorials and screen recordings, Recorded webinars and walkthroughs, Onsite training materials (guides, decks, exercises), Written documentation and help content
• Work directly within the product to understand workflows and translate them into clear, user-friendly training
• Partner primarily with customer-facing teams (e.g., customer success, support) to gather input and identify content needs
• Create scripts, outlines, and structured content for video and digital learning
• Use AI tools (writing, video, voiceover, editing, etc.) to increase speed and consistency of content production
• Maintain consistency in tone, structure, and quality across all materials
• Update and improve content as the product evolves
• Organize and manage content within LMS or knowledge base systems

Instructional Designer – Digital, AI-Enabled

• Leverage expertise in crafting innovative solutions for Kyndryl’s largest accounts
• Guide multi-disciplinary teams through complex consulting engagements
• Responsible for creating and positioning strategic change agendas within Kyndryl's larger accounts
• Build and maintain relationships with CXO-level customers
• Achieve financial outcomes through signings and revenue targets
• Support identification and pursuit of business development opportunities
• Enhance customer satisfaction as measured by Net Promoter Score (NPS)

Associate Partner, Consulting Partner – Agentic AI for Business Workflows

• Serve as the lead AI/ML technical expert supporting data-driven operations across planning, execution, and assessment activities for Combatant Commands (CCMDs).
• Design, develop, and deploy machine learning, artificial intelligence, and advanced statistical models to support operational analysis, campaign assessment, and decision support.
• Develop and operationalize AI-enabled capabilities that automate data ingestion, processing, and analysis across structured and unstructured data sources.
• Build and maintain scalable model pipelines and architectures supporting cross-domain and enterprise-level data integration.
• Apply AI/ML techniques (e.g., predictive modeling, clustering, natural language processing, network analysis) to identify patterns, trends, narratives, and adversary behaviors in the information environment.
• Integrate AI/ML outputs into operational workflows, enabling support to planning, integration, data operations, assessment, and operational execution.
• Collaborate with planners, Assessment Integrators, Data Scientists, and operational staff to translate analytic outputs into actionable insights for decision-makers.
• Develop and support AI-enabled dashboards, decision-support tools, and analytic platforms that provide real-time or near-real-time insights.
• Support the development of reusable models and frameworks that can scale across multiple CCMDs and mission sets.
• Ensure models are transparent, explainable, and aligned to mission requirements, including measurement of effectiveness and operational impact (ROI-informed outputs).

Senior AI Modeling Specialist

• Serve as EnerSys’ executive leader and single point of accountability for enterprise AI strategy, execution, and outcomes.
• Translate enterprise and business strategies into a clear, multi‑year AI vision and roadmap.
• Advise the CIO, ELT, and Board on AI trends, risks, opportunities, and competitive implications.
• Represent EnerSys externally with strategic AI partners, technology providers, and industry forums.
• Design and implement the enterprise AI operating model, including governance forums and funding processes.
• Establish enterprise standards for responsible AI, data usage, security, privacy, and risk management.
• Own AI investment governance, ensuring alignment with capital planning and transformation funding.
• Own the global AI use case portfolio and prioritization framework.
• Define, track, and report enterprise AI value metrics.
• Orchestrate cross-functional delivery across IT, data, and business units.
• Partner with HR to lead enterprise-wide change management and AI literacy initiatives.
• Build, lead, and develop a high performing enterprise AI organization with clear roles.

VP, Enterprise AI Enablement

• Support the operational design and execution of AI agents and multi-agent workflows used across business and technology teams.
• Monitor agent behavior, outputs, and reliability in production environments, identifying performance issues, errors, or unexpected behaviors.
• Tune and optimize agent configurations, prompts, workflows, and execution logic to improve output quality and operational stability.
• Integrate AI agents with enterprise systems, APIs, Model Context Protocols (MCP), and internal or external data sources.
• Implement and maintain runtime guardrails, escalation paths, and human‑in‑the‑loop controls to ensure safe and compliant AI operation.
• Investigate and resolve operational issues related to agent performance, data access, or system integration.
• Document workflows, configurations, and operational procedures to support repeatability and governance.
• Collaborate with AI engineers, data teams, platform teams, and business stakeholders to support the controlled rollout of AI capabilities.

AI Agent Engineer

• Identify, evaluate, and implement AI-driven solutions that improve operational efficiency, productivity, and business outcomes.
• Design and optimize workflows that incorporate generative AI, machine learning, automation, and intelligent knowledge retrieval.
• Lead continuous improvement initiatives across operational functions, leveraging AI technologies to reduce manual effort and increase scalability.
• Monitor emerging AI technologies and recommend practical applications aligned with organizational goals.
• Drive adoption of new Salesforce capabilities (Agentforce, Tableau, Data Cloud) within operations workflows.
• Support and enhance systems, tools, and processes used for bid management, proposal development, framework management, and contract-related operations.
• Manage and improve knowledge repositories, content libraries, and structured information sources used across operational functions.

AI Operations Engineer

• Build a career on your terms with a remote, self-employed opportunity in life insurance and annuities.
• Work remotely with individuals and families to help identify life insurance and annuity solutions.
• Educate clients on financial protection options in a clear, ethical, and professional way.
• Build and manage your own pipeline through referrals, marketing, networking, and follow-up.
• Attend virtual training, mentorship, and team development sessions.
• Grow a personal book of business while building long-term client relationships.

Sales AI

• Manages, directs, and supervises staff responsible for AI Risk Governance activities, and implements policies and tactical plans relative to the governance, oversight, and management of AI-related risks.
• Manages one or more processes related to the identification, assessment, control, and ongoing monitoring of AI use cases across the enterprise, including AI lifecycle governance, risk assessment execution, and inventory management.
• Conceptualize and implement frameworks, tools, and methodologies to independently identify, assess, and oversee operational and regulatory risks related to Artificial Intelligence, ensuring effective risk management practices, compliance with regulations, and adherence to enterprise risk appetite.
• Oversee and independently review and challenge functional and operational risk processes, including root cause analysis, risk assessments, and the design and implementation of internal controls.
• Develop and implement Key Risk Indicators (KRI) to provide independent risk insight and monitoring of risk exposure across AI use cases.
• Oversee and independently challenge the identification and remediation of control deficiencies, conduct quality control reviews, assess the effectiveness of controls, and oversee corrective actions to support informed management decisions and risk mitigation.
• Communicate risk governance standards, quality assurance procedures, and effective control practices to support consistent application of enterprise risk expectations.
• Evaluate the adequacy and effectiveness of corrective actions taken on past reviews and provide independent reporting and challenge on the status of approved recommendations.
• Partner with management and key staff from other business units to provide independent guidance and effective challenge on operational risk issues, risk identification, and solution design.

Manager I, Risk – AI Risk Governance

• Support the organization by contributing to relevant projects.
• Work closely with experienced professionals to develop key skills.
• Support various departmental functions.
• Assist with preparation and analysis of information, reports, and presentation materials.
• Participate in routine tasks including database management and data analysis.
• Shadow experienced staff to gain broader exposure.
• Provide support for customer service activities.

AI Intern, Level 1

• Lead the end-to-end development of AI solutions that directly serve our franchisees, including complex conversational interfaces, autonomous agents, and intelligent automation systems
• Architect systems that handle real-world ambiguity, integrate with brand data, and operate reliably at the scale of Tim Hortons, Burger King, Popeyes, and Firehouse Subs
• Build and deploy production-grade autonomous agents capable of executing multi-step workflows, reasoning over brand and operational data, and acting on behalf of franchisees and corporate users
• Design and build chatbot experiences that go beyond simple Q&A to deliver genuine business value
• Partner with brand and data teams to identify automation opportunities, scope solutions, and ship working software quickly
• Translate ambiguous business problems into well-architected technical solutions and move them from prototype to production with appropriate engineering rigor
• Mentor junior engineers, contribute to engineering standards and best practices, and help shape the technical direction of the AI Enablement function.

Senior AI Enablement Engineer

• Designing and implementing identity and access management strategies to protect sensitive information
• Managing user identities and access rights using tools like Azure Active Directory and CyberArk Management
• Developing secure systems and processes to prevent unauthorized access and data breaches
• Collaborating with team members to address cybersecurity challenges and deliver client-focused solutions
• Utilizing encryption technologies and identity-based encryption to safeguard data integrity
• Conducting vulnerability assessments and implementing measures to mitigate identified risks
• Applying IT governance and risk management principles to enhance security frameworks
• Creating technical documentation and system requirements specifications for identity management solutions
• Engaging in continuous learning to stay updated with the latest cybersecurity trends and technologies

Identity and Access Management, AI Focus – Experienced Associate

• Serve as deputy to the Enterprise Knowledge Management leader, helping define and execute the enterprise knowledge strategy, roadmap, and operating model.
• Drive the convergence of knowledge management and content management, ensuring a cohesive approach across structured and unstructured information.
• Translate business needs into scalable knowledge solutions that support enterprise-wide adoption.
• Lead the application of AI to knowledge and content, including discovery, summarization, classification, tagging, and retrieval.
• Design and implement contextualization strategies so AI systems surface the right knowledge, to the right people, at the right time.
• Own the knowledge architecture within Microsoft 365, with deep expertise in SharePoint, Teams, copilot search, metadata, and integration patterns.
• Optimize M365 as a knowledge platform, including governance models, information architecture, and user experience.
• Lead information lifecycle management practices, including creation, classification, retention, archiving, and disposition.
• Ensure knowledge and content governance balances compliance, risk management, and usability.
• Act as a trusted advisor to senior stakeholders on knowledge, content, and AI capabilities.

Knowledge Management Associate Director – AI Enablement

• Designing user experiences that enhance interaction between humans and AI systems
• Collaborating with cross-functional teams to develop innovative software solutions
• Conducting user research and usability testing to inform design decisions
• Creating user personas and journey maps to guide design development
• Utilizing human-centered design principles to improve product usability
• Analyzing industry trends to incorporate emerging technologies into design strategies
• Developing user interface prototypes to visualize design concepts
• Applying analytical thinking to solve complex design challenges
• Gathering and interpreting user feedback to refine design solutions
• Building meaningful client relationships to understand and anticipate their needs

Senior Human-AI Interaction Designer

• Turn AI transformation ambition into adoption that sticks
• Operationalize the business case, outcomes, and partnerships
• Partner closely with technical leads to ensure adoption
• Build change narratives for affected stakeholders
• Own the initiative plan and track progress against goals
• Produce clear, honest status for stakeholders and governance forums

Director, AI Change Adoption

• Act as the go-to AI resource for your assigned team by meeting with stakeholders, understanding their workflows and pain points, and identifying where AI can provide practical value
• Triage incoming AI requests and determine the right path forward, whether that’s building a quick solution yourself, guiding someone to do it, or escalating to the broader AI or platform team
• Design and build low-code AI solutions such as prompts, workflows, agents, and rapid prototypes, then test, iterate, and refine them based on real user feedback
• Lead working sessions and provide hands-on coaching to help teams adopt AI tools, improve how they work, and build their own solutions with confidence
• Analyze AI usage and adoption trends to identify where teams are getting stuck and proactively deliver targeted support and enablement
• Contribute to firm-wide AI initiatives by collaborating with other AI Coaches, supporting internal programs and content, and helping execute trainings, events, and workshops
• Continuously stay current on emerging AI tools and capabilities while expanding your own skill set and sharing best practices across the firm

Artificial Intelligence jobs in Florida

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