Top AI Specialist Jobs in Chicago, IL

The AI Implementation Specialist analyzes client workflows, identifies automation opportunities, designs and implements AI-driven solutions to enhance business efficiency and productivity.

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.

Design and deliver GenAI solutions: prototype to production LLM services, build RAG pipelines, fine-tune models (LoRA/QLoRA/PEFT), engineer prompts/tools/memory, ensure safety and evaluation, deploy with MLOps (CI/CD, containers, IaC), optimize inference, and ensure security/compliance while collaborating with product, data, and SRE teams.

Design realistic, specialty-specific clinical case scenarios and gold-standard attending-level responses, evaluate and grade AI-generated outputs using structured rubrics, provide detailed written feedback to improve model clinical reasoning, and participate in onboarding, calibration, and review sessions in a fully remote, asynchronous contractor role (~20 hours/week).

PhD-level physicists will design challenging graduate-level physics problems and contribute high-quality datasets to improve AI model reasoning, ensuring scientific rigor and consistency while collaborating remotely and asynchronously.

Lead design, validation, and continuous improvement of AI-assisted measurement and learning systems for K-12 assessments. Translate measurement intent into reproducible AI workflows, prototype AI-assisted content generation, ensure outputs meet validity, fairness, accessibility, and instructional standards, design validation and monitoring frameworks, partner with cross-functional teams (AI Science, Technology, Content), and contribute research, documentation, and thought leadership on intelligent assessment and learning systems.

The AI Operations Specialist will support CoinMarketCap's AI team by conducting feature evaluations, developing tools and automations, managing outreach, and collaborating with internal stakeholders to enhance AI operations.

Design, build, and deploy production AI systems and integrations (LLM-based) for law-firm clients. Create connectors, automation workflows, agents, and enablement programs, embed AI into client processes, and support internal AI adoption.

Sell coding-assistant and AI-native engineering solutions and co-sell NVIDIA developer-platform optimizations. Engage enterprise development leadership, design pilots and benchmarking services, scope consulting engagements, and collaborate within regional PODs to drive AI-accelerated application performance and developer productivity.

Build and maintain internal AI workflows, tools, integrations, and client-specific projects. Document and train team members, support AI adoption, implement practical improvements, and stay current on AI tools and platforms used day-to-day.

The AI/Machine Learning Specialist designs and implements AI solutions, collaborates with cross-functional teams, and continuously improves ML processes.

Design, build, and operate a secure, scalable GenAI platform on AWS (including Bedrock). Own platform lifecycle, enable LLM inference, RAG, Agents and guardrails, ensure observability, incident management, security, compliance, cost optimization, and reliability for production-grade regulated-financial environments. Provide Python-based development and support for microservices and REST APIs.

Lead complex, cross-functional AI programs end-to-end: translate strategy into integrated plans, drive multi-team execution, mitigate risks (data, model, compliance), apply ML lifecycle practices, use Agile/kanban methods, manage budgets/vendors, communicate to senior stakeholders, and mentor other program managers to improve AI program standards.

Own strategy, design, and optimization of Vanta's customer-facing chatbot and internal AI Copilot. Build and maintain AI-driven knowledge, design conversation flows in Intercom, analyze performance data, and collaborate cross-functionally to increase resolution rates and CSAT. Handle a small volume of support tickets to inform improvements and maintain product expertise.

Design, build, and optimize AI-driven customer success automations using no-code/low-code tools and LLM APIs. Identify use cases across the customer lifecycle, integrate solutions with enterprise platforms, apply prompt engineering and RAG patterns, monitor performance, and collaborate cross-functionally to scale AI-enabled workflows while maintaining responsible AI practices.

The role involves implementing AI strategies in construction, helping teams adopt AI tools, capturing field insights, and evaluating technology for jobsite needs.

The candidate will develop and enhance AI services for nonprofits by selecting appropriate platforms, mentoring consultants, and guiding project teams through the implementation of AI solutions.

Review trainer-submitted image-question pairs and verify golden answers for accuracy and consistency. Flag and document incorrect, ambiguous, or incomplete responses, provide corrective feedback, track recurring errors, and escalate unclear cases. Ensure trainer output meets project quality standards.

Review trainers' completed annotation tasks comparing questions, images, and golden answers to verify correctness. Flag incorrect, ambiguous, or inconsistent responses, provide constructive feedback, track recurring errors, ensure outputs meet quality standards, and escalate unclear cases to the project team.

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.

The AI Data Specialist will handle data-related tasks such as data collection, evaluation, annotation, and tagging for AI content improvement across various formats.

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.

Designs, builds, tests, and deploys AI-enabled automations and copilots for GTM and RevOps. Creates reusable agent templates, prompt libraries, and orchestration patterns; implements end-to-end API integrations; monitors performance; documents and hands off production solutions; and trains/coaches business teams on safe, responsible AI usage and prompting best practices.

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

The role involves cultivating technical relationships with Accenture, supporting solution development, customer deal support, and representing Databricks at events.