Top Remote Senior Level Jobs in Richmond, VA

Lead a portfolio of enterprise health system clients to drive implementation, adoption, and value realization of AI-powered clinical documentation. Build executive and clinical relationships, run governance and business reviews, coordinate cross-functional teams, monitor adoption and outcomes, advocate client needs to Product, and support renewals and account growth.

Design, deploy, and operate scalable multi-cloud data and AI platform infrastructure. Build IaC, CI/CD pipelines, containerized workloads, self-service ML provisioning, observability, and secure production practices while driving architecture, standards, and mentoring.

Lead MLOps for production ML lifecycle: deploy and serve models, build scalable reproducible pipelines for large protein-design workloads, implement CI/CD and observability, optimize GPU/accelerated compute, and enable self-service tooling for researchers.

Lead design, development, testing, and deployment of Workday integration solutions for State & Local Government customers. Manage integration workstreams, run discovery and knowledge-transfer sessions, ensure delivery milestones, and support post-production success while participating in process improvement.

Lead PIM/PXM strategy and architecture to enable product activation and digital shelf performance. Define governance, data models, workflows, and syndication; run workshops, mentor delivery teams, and translate business needs into implementation plans.

Lead product vision and roadmap for an application development team, translate high-level strategy into user stories and acceptance criteria, drive stakeholder alignment, analyze product metrics, and champion continuous improvement. Serve as subject-matter expert on product functionality, contact center capabilities, and AI-enhanced tooling while owning delivery and PI objectives in a Scrum environment.

Founding member of the Platform team owning infrastructure, security, CI/CD, and reliability. Design and operate AWS account architecture and services (ECS Fargate, RDS/Aurora, ElastiCache, SQS, ALB), author Terraform IaC, harden IAM and S3, enable AWS security tooling, maintain SOC 2 readiness, improve GitHub Actions pipelines, build PR and local dev environments, integrate observability, and lead incident reviews and runbook creation.

Lead and build Burq's data and ML platform: own warehouse, ingestion, semantic layer, and BI; architect and ship forecasting, optimization, matching, and reliability models; implement feature pipelines, training/serving, and monitoring; drive AI agent initiatives; hire and grow a data/ML team; set governance, intake processes, and partner with product, engineering, and commercial stakeholders to align models with business impact.

Lead end-to-end delivery of cross-functional AI/ML and SDLC modernization initiatives. Plan and drive projects, manage risks and dependencies, run Agile rituals, embed AI across requirements, development, testing, and release, and use tooling (Jira/Confluence) and engineering metrics to ensure aligned, measurable outcomes.

Lead the rollout of a pricing and packaging program for MeridianLink, overseeing annual updates and ongoing pricing evaluations while collaborating across teams to optimize revenue and minimize customer loss.

Own accounting and financial operations including month-end close, audit coordination, tax and payments, accounts payable/expense management, and partner/vendor oversight. Improve systems over time and potentially bring accounting in-house.

As a Senior Client Manager, you will manage employer relationships, drive product adoption, and ensure client retention for Modern Health's mental health platform. You will collaborate with HR leaders and use data insights to improve service delivery.

The Machine Learning Engineer will work on unstructured data classification and clustering, utilizing their expertise in AI systems and various programming languages.

The Senior Machine Learning Engineer will utilize deep experience and insights to enhance communication and digital interactions through advanced machine learning tools and algorithms, focusing on unstructured data.

Assess, prioritize, and mitigate organizational risks; develop and implement risk management plans, policies, and standards; conduct risk assessments; collaborate with compliance, audit, and operations; track regulatory trends.

Lead product development and launches, define vision and roadmap, collaborate with engineering/design/marketing, conduct market research, prioritize features, manage timelines and budgets, and monitor industry trends.

Design, implement, and maintain LAN, WAN, and wireless network infrastructure; ensure availability, security, and performance; develop architecture standards; perform network assessments and recommend improvements; collaborate with security, operations, and development teams; track industry trends and emerging networking technologies.