Top Entry Level Artificial Intelligence Jobs

Generate qualified sales meetings through personalized email outreach, LinkedIn messaging, and cold calling to customer experience and support leaders. Maintain accurate HubSpot pipeline records, collaborate with sales and marketing on outbound campaigns, test messaging, and help founders refine the ideal customer profile and sales process. This in-person startup role offers rapid growth toward an account executive or management position.

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.

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.

Creates plain-language technical documentation, standard operating procedures, process maps, business requirements, traceability matrices, use cases, training materials, and test cases for a taxation system modernization project. Documents AS-IS and TO-BE processes, supports requirements and testing activities, manages SharePoint content, leads subject matter experts, coordinates discovery meetings, reviews security configurations, and guides contract staff through the transition to the modernized system.

Build full-stack web and mobile APIs and interfaces using SvelteKit, TypeScript, and Node.js. Develop responsive real-time creative tools, optimize frontend performance, manage PostgreSQL and Redis services, and support image and video generation pipelines. Additional work includes public API development, WebSocket and HTTP/3 troubleshooting, observability, enterprise authentication features, and infrastructure scaling with Kubernetes and AWS EKS GPU clusters.

Leads hardware engineering for Eridu’s AI data center infrastructure solutions spanning silicon, packaging, and systems. The posting provides no specific responsibilities, minimum qualifications, preferred qualifications, technologies, travel requirements, or clearance requirements. The manager will help advance high-performance infrastructure products intended to improve AI data center communication, GPU utilization, cost efficiency, power consumption, and reliability.

Engage directly with customer stakeholders, build and maintain systems supporting critical operations and onboarding, deliver reporting and insights, and lead platform improvements based on customer feedback. The role requires strong full-stack engineering, excellent communication, customer-facing comfort, and the ability to work effectively in ambiguous, fast-paced environments.

Supports the Missile Defense Agency with cost estimating, cost analysis, sensitivity and risk analysis, budget formulation, and cost research. Prepares alternatives analyses, business case analyses, architecture planning studies, and cost models. Reviews contract performance and cost data reports, incorporates findings into estimates, and communicates analytical results in writing and presentations under general supervision.

Process and analyze LiDAR datasets and GIS data; learn and use new geospatial software tools; ensure data quality and meet deadlines; communicate with team; complete training provided with potential for full- or part-time placement.