Top Remote Jobs in Tampa, FL

Lead product, cloud, application, infrastructure, and internal security across Hipp’s healthcare SaaS platform. Responsibilities include architecture reviews, threat modeling, vulnerability management, cloud and identity security, monitoring, incident response, AI-agent security, compliance controls, vendor risk, customer security reviews, and security mentorship.

Build Hipp Health’s outbound sales engine by personally booking 20 qualified meetings monthly, developing prospecting sequences and qualification standards, maintaining HubSpot dashboards, and documenting a scalable BDR playbook. The role also shapes junior BDR hiring and onboarding, coaches new representatives, manages pipeline syncs, and partners with Sales, Marketing, and Product on messaging and market feedback. The position is remote and supports healthcare IT sales to ABA and behavioral health organizations.

Build and ship production features across backend services, APIs, frontend systems, AI-native healthcare infrastructure, EMR, and billing platforms. Collaborate with engineers, product managers, and designers; write clean, tested code; participate in code reviews; and own projects from concept through production.

Designs, operates, and improves cloud and infrastructure security across AWS and multi-cloud environments. Responsibilities include cloud governance, identity and access controls, network security, infrastructure as code, CI/CD and software supply-chain security, container and Kubernetes security, monitoring, threat modeling, incident response, and security automation. The role also contributes to AI security initiatives involving LLMs, AI agents, and MCP integrations, communicates risks across teams, leads complex initiatives, and mentors engineers.

Own system-level testing for Lance and LanceDB across correctness, reliability, scalability, performance, data integrity, fault recovery, upgrades, and compatibility. Build automated test frameworks, realistic workloads, fault-injection scenarios, performance and soak tests, and reproducible CI environments. Investigate failures using logs, metrics, traces, and source code, create minimal reproductions, and partner with engineers on fixes. Apply AI tools responsibly to accelerate test development, failure analysis, and debugging.

Own the strategy, roadmap, and success metrics for AI security capabilities across the Pathfinder platform. Serve as the internal expert on agentic AI threats, identity security, and emerging attack techniques. Define requirements for securing AI agents, MCP servers, and orchestration frameworks; conduct market and competitive research; lead design partner programs; coordinate cross-portfolio product work; and support analyst, customer, marketing, and pre-sales engagements.

Design, develop, and maintain scalable cloud-based microservices and foundational platform capabilities for authentication, authorization, onboarding, RBAC, reporting, auditing, notifications, and APIs. Improve reliability through observability, monitoring, alerting, infrastructure automation, and operational reviews. Provide technical leadership, collaborate across teams, guide architecture and best practices, reduce technical debt, and improve engineering efficiency.

Design and build production agentic AI systems and internal automation workflows across business functions. Responsibilities include prioritizing high-impact automation, developing multi-step and multi-agent workflows, integrating agent platforms, implementing human-in-the-loop controls, improving reliability and observability, evaluating performance, and shaping reusable AI engineering patterns. The role requires collaboration with nontechnical stakeholders and ownership of ambiguous problems from definition through measurable business impact.

Owns a portfolio of NovaOS capabilities from concept through delivery, adoption, and continuous improvement. Manages backlogs, roadmaps, prioritization, requirements, user stories, release planning, and product metrics. Partners with stakeholders, Engineering, AI, UX, Data Science, and Architecture teams to deliver enterprise AI-enabled products aligned with governance, Responsible AI, and business objectives.

Leads implementation and adoption strategy for enterprise transformation initiatives, partnering with business and technology teams from solution design through deployment and stabilization. Assesses stakeholder impacts, readiness, behavioral changes, risks, and adoption metrics; develops deployment, training, communications, and sustainment plans; equips leaders and sponsors; removes barriers; and captures reusable practices. The role requires influencing executives and frontline teams across business, technology, learning, communications, and operational functions.

Leads end-to-end business analysis for U.S. Department of Veterans Affairs systems, including requirements elicitation, documentation, user stories, process models, acceptance criteria, and traceability. Serves as the liaison between business stakeholders and technical teams, supports Agile ceremonies, manages Jira backlogs, performs impact analysis, supports testing and UAT, and mentors other analysts. Ensures solutions comply with VA security, accessibility, privacy, and delivery standards.

Senior software engineering individual contributor responsible for owning systems or feature areas, making customer- and business-focused technical decisions, improving an agentic AI development framework, managing automated quality and defect reduction, leading design discussions, mentoring engineers, and driving cross-pod technical initiatives. The role requires hands-on software engineering leadership without direct people management, with emphasis on AI-assisted development, testing, safety, and organizational technical strategy.

Secure AI/ML models, data pipelines, and AI-enabled applications by conducting vulnerability assessments, threat modeling, incident response, and security reviews. Build guardrails, monitoring, detection, access controls, encryption, and data-segmentation measures. Partner with engineering and analytics teams throughout the AI development lifecycle, assess third-party AI tools, document remediation plans, and translate emerging threats such as prompt injection, data poisoning, jailbreaks, and model-supply-chain risks into practical mitigations.

Architects and delivers enterprise AI, machine learning, generative AI, RAG, and agentic workflow solutions. Designs secure integrations across Claude, ServiceNow, cloud platforms, enterprise data, APIs, and business workflows. Leads architecture workshops, technical discovery, model development, evaluation, governance, observability, and responsible AI controls. Builds data pipelines, ML/NLP applications, dashboards, and production integrations while collaborating with clients, consultants, engineers, and stakeholders. Travel to clients and conferences may be required as needed.

Build and deploy enterprise AI solutions using Claude, LLMs, RAG, agentic workflows, tool use, and structured outputs. Integrate AI applications with ServiceNow and enterprise systems, develop secure APIs and supporting services, evaluate model quality, implement responsible AI safeguards, troubleshoot production workflows, and collaborate directly with customers. The role also contributes reusable accelerators, platform capabilities, documentation, and deployment best practices while supporting discovery, prototyping, implementation, and production rollouts.

Deploys enterprise AI and agentic workflows for customers using Claude, LLM integrations, RAG, tool use, structured outputs, and responsible AI controls. Builds full-stack integrations across ServiceNow and enterprise systems, develops prototypes and production solutions, evaluates AI quality and safety, troubleshoots deployments, and contributes reusable components to NewRocket’s AI platforms. The role is highly customer-facing and requires approximately 70% travel.