Top Remote Entry Level Artificial Intelligence Jobs

Lead technical design and hands-on execution for complex products and systems. Design scalable architectures, write and review code, solve production issues, make technical trade-offs, mentor engineers, improve engineering practices, and drive initiatives from problem definition through production. Collaborate with product, design, and AI teams while owning system reliability, security, testing, observability, and continuous improvement in a distributed global environment.

Lead and develop a distributed software engineering team building scalable financial products. Own engineering delivery, architecture, system reliability, technical standards, production outcomes, and continuous improvement across frontend, backend, APIs, databases, infrastructure, and customer-facing systems. Coach engineers, manage performance, resolve incidents, make technical trade-offs, and collaborate with product, design, mobile, backend, and AI teams to deliver high-quality products quickly.

Lead a distributed engineering team building and scaling customer-facing products. Own delivery, architecture, reliability, technical quality, production outcomes, engineering standards, and team development. Collaborate across product, design, mobile, backend, and AI teams to turn ambiguous problems into shipped solutions. Coach engineers, manage performance, improve processes and automation, resolve incidents, and build a high-performing culture focused on ownership, speed, and technical excellence.

Open application for roles across engineering, product, operations, and customer success at an AI-native EMR startup. Candidates may build AI-agent workflows, improve clinical operations, support implementations, or drive growth and adoption. Emphasis on communication, ownership, and curiosity about AI and healthcare.

Own marketing for the company’s At-Need business, including positioning, packaging, product and market launches, consumer messaging, referral-partner marketing, and the full demand funnel. The role partners with Sales and Growth to develop offerings from concept through launch, build repeatable expansion playbooks, and shape the customer journey. Success requires hands-on ownership, strong prioritization, numerical rigor, consumer empathy, and the ability to build trust and conversion in a sensitive, high-consideration category.

Conduct high-volume outbound prospecting through calls, email, and social selling; qualify leads through discovery conversations; schedule product demonstrations for Account Executives; manage sales activities and pipeline using sales technology; collaborate on sales strategies and handoffs; and continuously improve through coaching and feedback.

Leads complex technical programs across engineering, product, infrastructure, security, and operations teams. Defines objectives, roadmaps, milestones, dependencies, and success metrics; coordinates APIs, data flows, integrations, and non-functional requirements. Manages risks, escalations, stakeholder communication, launch readiness, cutovers, rollback plans, monitoring, SLOs, runbooks, and post-launch validation. Requires strong program management fundamentals, technical fluency, and experience driving cross-team software, platform, or infrastructure programs.

Develop and execute strategic account plans across UK healthcare accounts to drive revenue growth and market expansion. Build relationships with clinical, procurement, operational, and executive stakeholders; identify and progress sales opportunities; support tenders and contract implementation; and collaborate with commercial, clinical, and technical teams. Maintain accurate forecasts, pipelines, and CRM records while working extensively in the field across the assigned territory.

Perform calibration, testing, troubleshooting, preventative maintenance and installations of Image-Guided vascular systems. Serve as customer-facing subject matter expert after training, maintain service records, order parts, escalate and resolve issues, and support account community. Role requires frequent travel (up to 85%), on-call availability, and physical ability to handle equipment.

Leads the integrated technical architecture for an enterprise-scale application hosting, compute, and storage program. Establishes target-state architecture, engineering standards, modernization roadmaps, reusable cloud and platform patterns, and governance processes across AWS, Azure, on-premises, hybrid, Kubernetes, OpenShift, storage, and virtualization environments. Guides security, resiliency, observability, FinOps, disaster recovery, migration, and operational readiness decisions while presenting solutions to government executives and mentoring technical teams.

Generate qualified analytics sales pipeline by researching target accounts, prospecting CFOs and finance leaders, conducting discovery conversations, qualifying opportunities, scheduling meetings for Account Executives, and maintaining accurate Salesforce records. The role requires outbound communication across phone, email, and LinkedIn, collaboration with Sales and Marketing, and familiarity with financial reporting, business intelligence, Power BI, Microsoft Fabric, and Azure Data.

Lead cross-functional Revenue Operations programs that improve seller efficiency through process, systems, and data transformation. Own initiatives such as quoting, forecasting, Salesforce modernization, territory rollouts, and workflow automation. Coordinate Sales, Revenue Operations, GTM Systems, Finance, Marketing, Legal, and Enablement; manage plans, dependencies, risks, communications, training, and adoption. Measure program outcomes, eliminate operational friction, and report status and decisions to leadership.

This job is for candidates with AI infrastructure experience to submit their resumes for future opportunities. No specific role is posted.