Top Remote Senior Level Jobs in Hampton Roads, VA

Build and operate cloud-native platform infrastructure enabling AI agents in healthcare: safe CI/CD for agent capabilities, agent-focused observability, scalable infrastructure, automation, runbooks, and incident response.

Build and own the graph layer and RAG architecture enabling agent reasoning over full patient context. Select graph DBs, design query patterns, and ensure temporal coherence. Implement event-driven Kafka pipelines for auditable, immutable agent workflows and enforce ReBAC permissions. Prioritize safety and scalable AI-assisted workflows, participate in spec and plan reviews, and drive architecture decisions.

Design interaction patterns and visual language for AI-driven healthcare products across web, tablet, and mobile. Create systems, micro-interactions, and device-consistent experiences that make AI agents feel like natural colleagues. Work embedded with engineering and product, iterate quickly, and define long-term product feel and design standards.

Provide remote sales and use tax compliance services to small and midsize clients: import and reconcile tax data, prepare reports and returns, manage credits and cash requests, reconcile GLs and payments, maintain tax calendars, handle notices, and proactively communicate with clients.

Manage a portfolio of advertising clients for Quora, provide strategic guidance to scale revenue, troubleshoot campaign delivery, optimize performance campaigns, conduct business reviews and check-ins, translate analytics into actionable insights, and share best practices internally and externally.

Lead go-to-market strategy and launch new verticals: identify opportunities, validate via demand generation and direct enterprise selling, build sales playbooks, guide product roadmap, and own deals end-to-end while collaborating with CEO/CRO.

Lead architecture and engineering for AI-powered applications across backend, mobile, and desktop. Own reliability, observability, APIs, and model integrations. Grow and mentor a small senior applications team, drive production readiness, and make high-impact tradeoffs across latency, cost, security, and user experience to deliver reliable, low-latency AI-enabled workflows.

Lead product definition and execution for AI-powered assistant systems. Define end-to-end requirements, translate model capabilities into product decisions, design evaluations, balance trade-offs (quality, latency, cost, reliability), and work closely with ML, backend, and mobile engineers to ship reliable, user-trusted AI features.

Design and implement automated test frameworks and data validation utilities for enterprise data platforms. Validate data transformations, pipelines, lineage, and performance across Databricks, Snowflake, Spark, Hadoop and cloud environments. Integrate tests into CI/CD, perform white-box and performance testing, investigate production defects, and collaborate with Data Engineering, Analytics, and business stakeholders to ensure P&C insurance data quality and regulatory readiness.

Design, build, and operate secure, compliant AWS environments using Terraform and automation. Build CI/CD pipelines, security automation, observability, and support containerized and serverless workloads. Contribute to ISO 27001/SOC 2 compliance, create developer tooling, and troubleshoot complex platform issues in a distributed team.

The Partner Marketing Lead will develop and execute partnership marketing strategies and integrated campaigns for Bright Harbor, focusing on disaster recovery and collaborating with various stakeholders to create impactful narratives.

Build and maintain full‑stack TypeScript web applications, design RESTful APIs and microservices, optimize frontend and backend performance, write tests, participate across the development lifecycle, perform code reviews, and collaborate with product and design to ship scalable travel‑management features.

Design and build the distributed systems layer powering a spatial computing platform: real-time coordination, persistent world state, APIs, AI platform infrastructure (vector search, retrieval, agent orchestration), and scalable services to support many concurrent users and third-party developers.