Top Remote Senior Level Jobs in Washington DC,

Lead evaluation, selection, and optimization of large language models. Build and maintain eval frameworks, implement RAG and embedding-based pipelines, integrate new models into production on cloud, monitor performance and costs, and own end-to-end deployment, validation, and documentation.

Lead technical discovery, demos, and POCs for Omni's AI analytics platform; partner with sales to qualify use cases, transition trials to customers, mentor junior SEs, and provide product feedback.

Lead business development strategy and execution for value-based pediatric care. Originate and close complex partnerships, manage a BD operations direct report, align cross-functional stakeholders, maintain Medicaid program expertise, and represent the organization externally.

Gather and document business and functional requirements, create user stories and acceptance criteria, support Agile product backlog and sprint activities, conduct stakeholder elicitation and process/gap/impact analyses, coordinate UAT and QA, track product performance and recommend enhancements, and produce BRDs/FRDs and process flows.

Lead UX design for complex user interfaces, create wireframes/prototypes in Figma, drive data-informed design, conduct user research and usability testing, present decisions to stakeholders, integrate design standards into engineering workflows, facilitate workshops, apply AI tools to UX, and ensure clear documentation and developer handoffs to deliver user-centered end-to-end solutions.

Design, implement, test, and maintain scalable Java/J2EE microservices using Spring technologies. Collaborate with architects, follow SDLC, perform unit/system testing, troubleshoot distributed cloud applications, and work in Agile teams to meet enterprise performance and security standards.

Lead and scale the Vertical Platform product layer, translating strategy into multi-year plans. Drive adoption, UX quality, growth experiments, and data-informed decisions. Partner with Design, Engineering, Marketing, and Data to deliver scalable platform-driven user experiences, hire and develop PM teams, and ensure cross-functional alignment and execution.

Execute and optimize paid media campaigns (primarily paid social) including build, trafficking, pacing, QA, daily optimizations, reporting, experimentation, creative evaluation, and supporting media planning and client calls.

Lead end-to-end program management for launching new markets in Americas and EMEA. Drive operational readiness, build 0->1 frameworks and playbooks, coordinate cross-functional Risk, Product, Eng, GTM, and Ops teams, surface risks, unblock dependencies, and ensure disciplined execution and reporting across a complex portfolio.

As a Machine Learning Engineer, you will design, build, and deploy ML models for underwriting at Stripe Capital, ensuring performance while collaborating with multiple teams.

The role involves writing and maintaining fraud rulesets, conducting data analysis to identify and mitigate fraud, and collaborating with cross-functional teams to implement fraud strategies.

Lead learning and development for the Physician & APP Solutions Locums sales organization. Design scalable sales training, competency models, and career pathways; partner with cross-functional leaders; measure training effectiveness; standardize materials and delivery; foster continuous learning, coaching, and retention to drive recruiter productivity and commercial results.

Sell Optro's audit, risk, ESG, and InfoSec SaaS to enterprise accounts through full-cycle sales. Build net-new pipeline, engage C-level stakeholders, demo solutions, create business cases, close deals to exceed >$1M quota, collaborate with SDRs, partners, implementation and success teams, and travel ~25%-30%.

Design and build petabyte-scale multimodal data pipelines and infrastructure (text, audio, images, video). Own and maintain systems like Spark, Ray, and vector databases, partner with pre/post-training teams to improve data recipes through experimentation, and support large-scale dataset storage and processing for AI model training.

Lead data science strategy across complex customer engagements, turn ambiguous business problems into repeatable ML solutions, define modeling and evaluation standards, drive data readiness and MLOps practices, mentor teams, produce reusable IP, and represent Microsoft in executive and thought-leadership forums.

Design, build, and ship frontend, backend, or full-stack services that leverage AI/LLMs to improve M365 user experiences. Define scenarios, architect solutions, mentor engineers, lead technical projects, and collaborate with product, design, and partner teams to deliver customer-focused innovation.