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

Own consulting workstreams from problem definition through research, analysis, and client-ready recommendations. Lead smaller engagements or modules, manage timelines and research programs, maintain data quality, create polished presentations and reports, and support proposals and reusable practice assets. The role requires rigorous analytical thinking, strong communication, attention to detail, and the ability to collaborate with senior stakeholders in a fast-paced consulting environment.

Partner with AI labs to improve frontier models by designing targeted data collection workflows, analyzing experimental results, and implementing quality controls. The role involves evaluating model behavior, reducing bias, supporting model safety and alignment, and translating technical findings into actionable insights for AI researchers and customers. Python is used for data analysis, pipeline development, and workflow prototyping.

Own and grow partnerships with agencies, technology companies, platforms, and product companies. Responsibilities include building partner pipelines, negotiating agreements, activating partners, managing co-marketing and co-selling initiatives, tracking partner-sourced revenue, and collaborating with sales and leadership to convert opportunities into product development projects.

Drive U.S. defense and aerospace sales for board-level COTS/MOTS embedded computing products. Build and manage distributors, manufacturers’ representatives, and inside sales staff; develop relationships with defense-prime engineering and program stakeholders; secure design-ins; qualify and close opportunities; and translate customer requirements into technical solutions with international product and U.S. engineering teams.

Organize and curate large volumes of raw information: extract key points from transcripts, maintain clean spreadsheets, curate links/resources, tag and categorize content, and follow or propose systems for information structure. Part-time remote role with initial 10 hours/week and potential to grow.

Own developer relations for an AI safety platform by leading technical launches, creating content, organizing hackathons and meetups, growing open-source communities, and building partnerships with AI labs and developer tool companies. The role also contributes to promotional videos, tracks adoption metrics, and engages engineers and AI researchers across technical channels.

Work directly with customers to design, prototype, deploy, and troubleshoot production systems using Restate’s durable execution infrastructure. Responsibilities include architecture discussions, distributed systems problem-solving, code development, proof-of-concepts, integrations, production operations, technical evangelism, and translating recurring customer challenges into tooling, documentation, and product improvements.

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Provides enterprise platform support for USAA by managing customer tickets, performing technical triage, coordinating escalations, communicating resolutions, and delivering root cause analyses. Coordinates cross-functional projects, deployments, releases, patches, and post-deployment monitoring. Builds client relationships, manages expectations, documents plans and decisions, and advocates for customer needs while balancing support, technical, and project coordination responsibilities.

Build and operate Origin’s AI observability platform across data-collection agents, backend services, infrastructure, inference pipelines, APIs, and React interfaces. Design distributed systems using AWS, EKS, ClickHouse, and Kafka for high-throughput, multi-tenant production workloads. Develop internal coding agents and define AI-native engineering practices while making decisions around storage, APIs, performance, and reliability.