Top Remote Senior Level Jobs in Louisville, KY

Develop and deploy machine-learned interatomic potentials for PFAS substitution. Responsibilities include generating and curating first-principles training data, building reproducible cloud and HPC workflows, training and validating ML force fields, running molecular dynamics and quantum chemistry campaigns, predicting physical properties, extending models to condensed-phase and process chemistries, and communicating model uncertainty and domain limitations.

Leads GM Insurance’s regulatory and statistical reporting processes, including reporting inventories, filing calendars, data analysis, validation, reconciliation, controls, documentation, and submissions. Partners with Legal, Accounting, Actuarial, Claims, Product, Operations, Technology, and Data teams to resolve data issues, support audits and regulatory inquiries, improve data quality, and automate reporting processes. Requires advanced SQL, Python experience, insurance reporting knowledge, and strong analytical and stakeholder-management skills.

Apply advanced actuarial methods, predictive modeling, and data analytics to support reserving, ratemaking, and business decisions. Build and validate models, perform EDA, query and transform data, create visualizations, mentor junior analysts, lead projects, and collaborate with cross-functional teams to drive performance and perform periodic reserve reviews.

The Senior IT QA Engineer owns quality strategy and outcomes across complex technology initiatives. Responsibilities include designing automated testing solutions, integrating quality verification into CI/CD pipelines, analyzing quality and production data, developing dashboards, managing risk, leading root-cause analysis, and influencing product, engineering, architecture, security, operations, and business stakeholders. The role requires technical contributions across web, mobile, API, data, cloud, and distributed systems, plus mentoring engineers and advancing quality engineering practices.

Lead product, cloud, application, infrastructure, and internal security across Hipp’s healthcare SaaS platform. Responsibilities include architecture reviews, threat modeling, vulnerability management, cloud and identity security, monitoring, incident response, AI-agent security, compliance controls, vendor risk, customer security reviews, and security mentorship.

Designs, operates, and improves cloud and infrastructure security across AWS and multi-cloud environments. Responsibilities include cloud governance, identity and access controls, network security, infrastructure as code, CI/CD and software supply-chain security, container and Kubernetes security, monitoring, threat modeling, incident response, and security automation. The role also contributes to AI security initiatives involving LLMs, AI agents, and MCP integrations, communicates risks across teams, leads complex initiatives, and mentors engineers.

Own system-level testing for Lance and LanceDB across correctness, reliability, scalability, performance, data integrity, fault recovery, upgrades, and compatibility. Build automated test frameworks, realistic workloads, fault-injection scenarios, performance and soak tests, and reproducible CI environments. Investigate failures using logs, metrics, traces, and source code, create minimal reproductions, and partner with engineers on fixes. Apply AI tools responsibly to accelerate test development, failure analysis, and debugging.

Own the strategy, roadmap, and success metrics for AI security capabilities across the Pathfinder platform. Serve as the internal expert on agentic AI threats, identity security, and emerging attack techniques. Define requirements for securing AI agents, MCP servers, and orchestration frameworks; conduct market and competitive research; lead design partner programs; coordinate cross-portfolio product work; and support analyst, customer, marketing, and pre-sales engagements.

Design and build production agentic AI systems and internal automation workflows across business functions. Responsibilities include prioritizing high-impact automation, developing multi-step and multi-agent workflows, integrating agent platforms, implementing human-in-the-loop controls, improving reliability and observability, evaluating performance, and shaping reusable AI engineering patterns. The role requires collaboration with nontechnical stakeholders and ownership of ambiguous problems from definition through measurable business impact.

Leads end-to-end business analysis for U.S. Department of Veterans Affairs systems, including requirements elicitation, documentation, user stories, process models, acceptance criteria, and traceability. Serves as the liaison between business stakeholders and technical teams, supports Agile ceremonies, manages Jira backlogs, performs impact analysis, supports testing and UAT, and mentors other analysts. Ensures solutions comply with VA security, accessibility, privacy, and delivery standards.

Senior software engineering individual contributor responsible for owning systems or feature areas, making customer- and business-focused technical decisions, improving an agentic AI development framework, managing automated quality and defect reduction, leading design discussions, mentoring engineers, and driving cross-pod technical initiatives. The role requires hands-on software engineering leadership without direct people management, with emphasis on AI-assisted development, testing, safety, and organizational technical strategy.