Top AI Specialist Jobs in Austin, TX

Design, build, test, deploy, monitor, and maintain production LLM-based agentic solutions for Commercial Customer Success. Integrate agents with CRMs and Samsara systems, define evaluation frameworks and success metrics, implement automated tests and monitoring, iterate on models and prompts, and demonstrate impact on customer outcomes and retention.

Review AI-generated compensation analyses and recommendations for accuracy, completeness, and business relevance. Identify errors and gaps, provide actionable written feedback, follow scoring frameworks, document findings, and collaborate to refine evaluation methods.

Annotate and review large volumes of image, video, infrared, and sensor data to support maritime perception models. Identify vessels, objects, and environmental features; apply evolving labeling guidelines; perform manual annotation and quality review of auto-labeled data; escalate edge cases and meet project deadlines while maintaining accuracy and consistency.

The Senior Solutions Architect will lead prototyping for AI partners, architect AI systems, resolve technical issues, and produce reusable assets to enhance enterprise AI adoption.

Lead evaluation, piloting, and rollout of AI-enabled tools and automated workflows for legal teams. Collaborate with attorneys, practice leaders, and tech partners to design solutions, drive adoption, deliver training, and measure impact to improve legal service delivery and internal operations.

As an AI Operations Specialist, you will evaluate AI model outputs, annotate data, and ensure the quality and effectiveness of Fetch's AI systems, using tools like ChatGPT and Google Sheets.

Lead design and implementation of AI and data governance frameworks, privacy guardrails, metadata standards, and compliance with GDPR/HIPAA/CCPA/NIST AI RMF. Monitor and audit models for bias, explainability, and transparency; partner with engineers, stewards, and leaders to embed ethical decision-making, set KPIs, run audits, and produce dashboards and reports to drive governance adoption.

Research, deploy, and maintain AI models and automation solutions; integrate systems and APIs; manage AWS infrastructure and PostgreSQL databases; build BI dashboards; monitor and optimize AI systems and provide technical support.

Contribute to generative AI model training and evaluation by designing and solving ML infrastructure and systems challenges. Build and optimize distributed training, custom GPU kernels, evaluation frameworks, and provide technical reviews and feedback to improve training data and model capabilities.

The AI Data Specialist role involves data collection, evaluation, annotation, pairwise comparisons, and tagging across various content types.

Evaluate and improve AI-generated Tagalog text for linguistic accuracy, grammar, and cultural relevance. Provide rewritten responses, craft prompts/responses, perform grammaticality checks and preference ranking, and collaborate with global teams to enhance conversational AI datasets.

Lead sales and deployment of custom AI/ML solutions, driving pipeline and revenue for allocated accounts. Collaborate with Field Sales, Product, Sales Engineering and AI teams to discover requirements, architect agentic AI solutions, write SOWs, negotiate commercial terms, and manage complex sales cycles to ensure customer adoption and measurable business outcomes.

As an AI Specialist SC, you will support major global clients by offering presales machine learning solutions, driving business transformations and technical discussions, while collaborating across teams.

The role involves designing and delivering AI training programs, creating learning materials, and facilitating workshops to enhance user understanding of AI tools within enterprises.

Create, optimize, schedule, and publish blog and social content about AI applications. Test headlines, landing pages, and ads; review analytics, predict opens/clicks/conversions, write performance reports, and personalize curated content.

The AI Implementation Specialist will onboard and train customers on AI design software, providing support and creating educational resources, while focusing on user feedback and software adoption.

Design, build, and operate a secure, scalable Generative AI platform on AWS (including Bedrock) to support production LLM applications in regulated financial environments. Own platform lifecycle: architecture, deployment, operations, monitoring, incident management, reliability, and performance. Implement LLM inference, RAG, Agents, guardrails, observability, security controls, access management, compliance, and cost optimization. Provide production support, reliability engineering, and AI governance.

The role involves designing and maintaining automated workflows, developing AI agents, integrating APIs, and optimizing automation systems while collaborating remotely with teams.

The AI Adoption Specialist guides organizations in integrating AI technologies, developing strategies, conducting pilots, and overseeing deployment while monitoring performance.

Review customer source documents and validate Prox AI agent outputs. Test demo agents, verify citations and visual artifacts, flag missing or incorrect specs, write actionable feedback, prepare demo and trial workspaces, and keep tasks updated in Attio/Slack.

The Automation / AI Specialist will design and maintain automated workflows, develop AI agents, integrate APIs, and troubleshoot technical issues in a remote environment.

Design and maintain automated workflows using n8n, develop AI agents and tools, integrate APIs, optimize systems, and troubleshoot issues.

The Specialist Solutions Architect will guide customers in architecting ML & AI applications, provide advanced technical support, and collaborate cross-functionally to enhance Databricks' AI offerings.

Embed with business teams to design and build AI-powered tools, automations, and workflows; coach and enable staff; create reusable solutions, documentation, adoption metrics, and governance; mentor junior members and translate AI developments into practical enterprise applications.

The role involves designing and implementing automation systems, improving workflows, and developing tools for sales support using AI and automation platforms.