Top Tech Jobs & Startup Jobs in Louisville, KY

Lead end-to-end AI transformation engagements: diagnose opportunities, design roadmaps, prototype and build 0-to-1 AI products, manage senior client relationships, deploy AI tooling, and support go-to-market and internal delivery practices.

Design, architect, test, and demonstrate Windchill and ThingWorx solutions for DoD customers. Translate business requirements into technical/process solutions, support integrations, perform testing and debugging, develop documentation, provide end-user training, and collaborate with cross-functional teams and PTC support to deliver PLM/ThingWorx implementations.

Customer-facing technical architect responsible for end-to-end success of enterprise Aviatrix deployments: design multi-cloud network and security architectures, implement Aviatrix DCF policies, integrate with NGFWs, lead operational reviews and incident response, drive adoption and optimization, and produce runbooks and compliance-aligned network configurations.

Lead and manage institutional research activities: supervise staff, collect and analyze quantitative and qualitative data, produce reports and dashboards, support program/course reviews, accreditation, survey design, and provide data-driven recommendations to inform institutional planning and continuous improvement.

Sell and manage B2B higher-education engagement accounts for CTU's Education Alliance Center. Identify and qualify corporate prospects, negotiate agreements, create client strategic plans, coordinate internal resources, drive client engagement and retention, and maintain CRM records. Requires relationship development with large enterprise clients and support for employee education programs.

Own end-to-end product verticals across frontend and backend: real-time voice/chat, billing and payments, communications, service-provider workflows, and platform features. Design and implement robust APIs, data models, payment integrations, multi-tenant billing, and notification systems while driving architecture, testing, and production quality.

Lead ownership of the iOS platform: build offline-first apps with local persistence and sync, real-time communication, media capture/uploads, location/scheduling, and polished, accessible UI/UX for multiple user roles.

Own major backend feature verticals (voice/chat, billing/payments, communications, service-provider workflows, auth/permissions). Drive architecture, design, implementation, testing, and production delivery while modeling data for access patterns and integrating payment processors and multi-channel communication.

Lead and grow a team of ML engineers building production ML systems for Fetch's Ad Platform. Translate product strategy into roadmaps, guide design and implementation of models for ranking, targeting, bidding and forecasting, set metrics and experimentation, enforce architectural and operational standards, manage trade-offs across performance and reliability, and drive cross-functional alignment to improve advertiser and member outcomes.

Manage end-to-end technical project lifecycles for Digital Safety: define scope, plans, budgets, and risks; coordinate cross-functional teams and external partners; run status meetings, change control, compliance, stakeholder communication, and lessons-learned; deliver projects on time and within budget.

Lead and execute independent research programs on NLP and LLM safety, design and run experiments, secure funding, publish and present results, lead cross-functional teams, and develop evaluation tools and challenges to advance digital safety.

Lead design and implementation of scalable, production-grade data products and feature pipelines for ML. Build batch and streaming pipelines, ensure data quality, observability, and reproducibility, partner with data scientists and platform teams, and drive cross-team architecture and standards for ML-ready datasets.

Review, evaluate, and annotate AI-generated text, images, audio, and video; perform quality checks for accuracy and guideline compliance; identify edge cases and inconsistencies; contribute to dataset creation and calibration; provide feedback to improve annotation workflows and guidelines.

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.

Manage health and performance of product databases: schema design, permissions, backups/recovery, failover clustering, performance tuning, monitoring, incident response, and cross-team support for releases and customer issues. Participate in on-call rotation.