Top Entry Level Artificial Intelligence Jobs in Dallas-Fort Worth, TX

Prospect and engage customer marketing, advocacy, and GTM leaders through thoughtful outreach, events, and warm introductions. Build qualified pipeline, research target accounts, collaborate with Account Executives and marketing on campaigns, and help develop scalable SDR tools, messaging, metrics, and playbooks. Own outreach, meetings booked, and pipeline goals while maintaining authentic, customer-centric communication.

Leads and develops a team of Enterprise AI Success Managers serving complex enterprise customers. Responsibilities include driving adoption, measurable business outcomes, retention, renewals, expansion, customer health, and operational excellence. The role coaches teams on AI product expertise, configuration, workflows, and value realization while partnering with Sales, Product, Engineering, Marketing, and Professional Services. It also champions customer feedback, uses performance metrics to improve outcomes, and supports strategic executive relationships.

The posting provides no defined responsibilities or qualifications. It states that media inquiries and potential public engagement will be considered individually based on context, relevance, and timing.

Own customer infrastructure support tickets from initial response through resolution while meeting SLAs. Diagnose Linux-based GPU cluster issues, troubleshoot access, storage, networking, containers, drivers, billing, and account problems, and coordinate escalations. Execute and improve runbooks, document solutions, maintain customer and internal documentation, communicate clearly under pressure, and participate in on-call coverage across time zones.

Build scalable backend services, APIs, workflow orchestration, integrations, and AI agent infrastructure for enterprise procurement, invoicing, contracts, and payments. Develop agent runtimes, multi-agent coordination, observability, evaluation, and testing systems. Ensure reliability, security, compliance, auditability, performance, and fault tolerance across distributed systems handling sensitive financial and operational data.

Build and own production-ready AI-powered features across frontend, backend, infrastructure, and deployment. Collaborate with product teams to turn ideas into scalable solutions, design LLM workflows, orchestrate multiple AI models, and optimize latency, cost, and performance. The role also establishes AI-assisted engineering practices and contributes to usability, product quality, architecture, and business outcomes.

Apply to an open-ended role at Hugging Face to co-design a custom position. Candidates should be passionate about AI and open source, have demonstrable accomplishments, thrive in ambiguity, and enjoy collaborating with a large AI community.

Partner with product engineering to design and analyze experiments, apply causal reasoning and statistical modeling to marketplace data, and drive data-informed product decisions across the engineering org.

Partner with Account Executives to handle the technical side of sales: deliver personalized demos, answer technical questions, manage PoCs, build relationships with product and engineering teams, and optionally create documentation or integration prototypes.

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