Top Entry Level Artificial Intelligence Jobs

Build and ship secure, high-performance software across frontend, backend, full-stack, infrastructure, and applied AI teams. Collaborate with AI Research, Product, Design, and Legal Engineering; contribute to retrieval, document intelligence, workflow automation, enterprise agents, and infrastructure. Evaluate LLMs and AI systems, participate in design discussions and code reviews, and develop production features alongside experienced engineers.

Leads technical programs for Robotics facilities from planning and design through construction, commissioning, equipment installation, and handover. Consolidates requirements across research, engineering, and operations teams; translates workflows into facility and infrastructure requirements; coordinates design reviews; manages milestones, dependencies, risks, changes, and decisions; and partners with Legal, Finance, Security, IT, EHS, and facilities stakeholders to ensure operational readiness.

Designs and implements Dynamics 365 Finance solutions supporting general ledger, payables, receivables, cash management, fixed assets, consolidations, reporting, integrations, and project accounting. Partners with finance and technology stakeholders to optimize processes, deliver projects, ensure data integrity, and advise leadership. Evaluates AI, Copilot, automation, analytics, and Microsoft cloud capabilities for finance applications. Provides training, documentation, mentorship, audit support, and leadership for finance systems initiatives, including merger and acquisition activities.

Maintain data holdings and data standards, analyze complex geospatial datasets, transform data, create visualizations, and provide recommendations to improve data strategies and machine learning model development.

Modernize legacy VB.NET and .NET Framework applications into secure C# and .NET 8+ web applications. Design, maintain, deploy, and troubleshoot applications using Razor Pages, Entity Framework, SQL Server, IIS, and Windows Server. Manage Azure DevOps CI/CD pipelines, version control, and work tracking. Ensure security, reliability, auditability, compliance, and operational stability while safely modifying legacy systems in restricted enterprise environments. Provide technical guidance, documentation, stakeholder collaboration, and coordination across development, test, and production environments.

Build end-to-end user features under senior guidance: implement REST endpoints in Node.js/TypeScript, microservices in Python, maintain PostgreSQL schemas, process background jobs with QStash/Upstash, deploy to Cloudflare Workers/Pages/R2, write tests, and collaborate with product/design on React UI components.

Own IonQ’s talent development strategy, including capability assessment, leadership development, technical career paths, AI-enabled learning, facilitation, vendor and budget management, and development measurement. Build scalable programs for employees ranging from new hires to executives, partner with senior leaders, activate internal experts, and translate development outcomes into measurable business impact.

Designs and owns data architecture, models, governance, security, and scalable solutions on modern data platforms. Translates business needs into technical designs, guides data engineers, enables AI use cases, leads stakeholder discussions, and identifies opportunities to expand the client engagement. The role is client-facing and requires local Indianapolis availability for onsite or hybrid work.

Design, implement, test, and maintain resilient network software for teleoperated UGV swarms. Build low-latency video streaming and command-and-control systems, redundant connectivity and hot failover across mesh radios, satellite, and 5G networks, secure VPN solutions, and performance monitoring for throughput and latency. The role requires C++ or Python, Linux networking expertise, and collaboration in an onsite defense startup environment.

Designs, specifies, integrates, and validates ruggedized electrical power generation, distribution, and conversion systems for autonomous maritime platforms. Responsibilities include developing requirements, schematics, power analyses, component selection, trade studies, environmental qualification, prototype testing, field commissioning, and technical documentation. The engineer collaborates across mechanical, software, and autonomy teams, supports dockside and at-sea trials, and mentors junior engineers.