Top Remote Senior Level Jobs in Baltimore, MD

Lead and stabilize mainframe production operations, handle incident escalation and complex job recovery, coordinate with system programmers and application teams, support change management and disaster recovery, and mentor junior operations staff while improving runbooks and operational processes.

Design, develop, maintain, and optimize ADABAS database structures and data solutions. Support mainframe data processing (Natural, COBOL, JCL), perform migrations to modern platforms, tune performance, ensure data integrity/security, troubleshoot issues, and collaborate with developers, architects, and analysts on modernization, API/cloud integration, and data warehousing initiatives.

Lead global sales strategy and operations: design GTM and coverage models, run forecasting and operating cadence, drive productivity through analytics and AI, partner cross-functionally to execute GTM transformations and scale revenue.

Lead end-to-end FOIA data migration projects into RelativityOne, define and prioritize migration tooling, author requirements and runbooks, engage agency customers, ensure FedRAMP-compliant handling of DT1 data, and drive continuous improvement and product feedback.

Provide senior legal counsel on commercial technology transactions including SaaS, software, cloud, AI-enabled and data processing agreements; draft, review, and negotiate contracts; advise cross-functional stakeholders; streamline contracting processes and pricing governance; use legal tech and AI tools to increase efficiency; engage customers and support strategic initiatives.

Embed with brokerage operations to observe and automate manual workflows; design, build, deploy, and monitor auditable backend services and UIs; measure impact with operations metrics; produce RFCs; collaborate with compliance/security; own CI/CD, on-call, and incident response for production systems.

Lead and manage IT-focused contract delivery under the PWS: plan, execute, staff, track schedules, mitigate risks, produce program reporting, maintain PMP/QMP/SOPs, direct transitions, ensure contract compliance, and mentor program staff while serving as primary government interface.

Lead Appian Associate to plan, lead, and manage Appian software development projects for FMS. Work with clients and stakeholders to design and implement solutions, mentor junior developers, handle database and system integrations, and apply BPM best practices in an Agile environment.

Design, build, and deploy scalable distributed deep learning pipelines and infrastructure. Optimize hardware utilization, profile and benchmark training, manage large datasets, and enable reproducible ML workflows in cloud environments. Collaborate with ML scientists and engineers to align pipelines with research goals and drive performance, reliability, and operational best practices for large-scale model development.

Own net-new mid-market hotel group growth across the Southeast US. Manage full sales cycle from outbound prospecting to close, run high-volume outreach (120+ activities/week), maintain 8-10 active opportunities, multi-thread deals across stakeholders, forecast pipeline, partner with Customer Success for expansion, attend regional industry events, and close 3-4 deals/month averaging €3-5k MRR.

Lead design, research, and productionization of advanced NLP and LLM systems (NER, classification, generation, RAG/GraphRAG, semantic search). Drive experiments, model evaluation, data labeling strategy, and integration of NLP models into production workflows while providing technical leadership across engineering, product, and data teams.

Lead research, design, and production implementation of computer vision and ML solutions. Define architectures, run experiments, own model lifecycle (data, training, evaluation, deployment), optimize inference, set MLOps standards, mentor engineers, and collaborate with product and engineering teams to deliver production-quality CV features.

Lead strategy, roadmap, and lifecycle for Members, Chapters, and Agentic Ecosystem APIs. Define API specs (GraphQL/REST), governance, developer experience, and integrations with engineering, data, security, and partners. Enable safe AI agent integrations, enforce consent/privacy, monitor adoption and reliability, and drive API observability, versioning, and deprecation practices.