Top Remote Jobs in Tampa, FL

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.

Develop and maintain PHP-based WordPress hosting platforms and products. Own features end to end, diagnose performance across application and infrastructure layers, write automated tests, modernize systems, improve deployment tooling, participate in code reviews, mentor engineers, and document decisions. The role requires deep WordPress and PHP expertise, Linux and hosting-stack knowledge, shell scripting, database and caching performance skills, and the ability to work autonomously on a globally distributed remote team.

Lead Nexcess’s product engineering organization, owning architecture, delivery, roadmap, team structure, engineering-manager development, hiring, and production accountability. Improve delivery speed and reliability using DORA metrics, AI-assisted engineering, automated testing, observability, trunk-based development, feature flags, and incident management. Guide modernization of legacy Perl and PHP systems, billing and payment platforms, hosting products, and infrastructure migrations while partnering closely with Product and senior stakeholders.

Lead technical direction across Nexcess’s WordPress hosting platform and product ecosystem. Design target architectures, migrations, automation, and scalable systems while preserving backward compatibility, reliability, performance, and cost efficiency. Work deeply across PHP, WordPress, Linux, hosting infrastructure, databases, caching, and operational tooling. Mentor senior engineers, drive cross-team outcomes, write architecture documents, and serve as an escalation point for complex technical issues.

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.

Leads client engagement and translates construction project controls needs into analytics solution requirements. Conducts meetings, demonstrations, training, and presentations; interprets schedules, costs, risks, and performance metrics; documents requirements and tracks follow-through. Collaborates with analytics teams on prototypes, workflows, onboarding, testing, and implementation while identifying reporting improvements and opportunities to expand client services. Requires strong construction project controls knowledge, communication, business analysis, generative AI experience, and independent remote work capability.