Top Remote Senior Level Jobs in Las Vegas, NV

Build and operate PEMCO’s end-to-end AI platform, including GPU infrastructure, model serving, AI gateways, retrieval systems, agent orchestration, observability, evaluation, cost telemetry, security, and governance. Lead production deployment, monitoring, incident response, lifecycle management, and architecture standards for AI systems. Optimize model routing, costs, performance, and reliability across Azure and potential on-premises environments while influencing organization-wide AI platform and governance decisions.

Plans and executes full-scope red team and adversary emulation operations, including phishing, C2, privilege escalation, lateral movement, EDR/XDR evasion, Active Directory and cloud compromise, and social-engineering scenarios. Develops custom offensive tooling, collaborates with Blue Teams to validate detections, documents attack chains, and provides remediation guidance. Requires 5+ years of offensive security experience, advanced scripting skills, and recognized offensive security certifications, with bug bounty or CTF achievements preferred.

The Studio Engineer bridges industrial design and mechanical engineering for autonomous transit vehicles. Responsibilities include physical vehicle architecture, advanced CAD surfacing, digital master modeling, tolerance analysis, rapid prototyping, design for high-volume manufacturing, vendor collaboration, factory bring-up, and establishing cosmetic and finish standards. The role protects design intent while delivering manufacturable, production-ready interior and exterior components.

Build and operate production AI agents, including autonomous coding systems, retrieval and knowledge layers, MCP tooling, evaluation frameworks, and secure LLM workflows. Improve model cost, latency, reliability, and observability on AWS Bedrock while integrating Snowflake, documentation, knowledge graphs, Jira, Slack, and developer workflows. Responsibilities include prompt and model evaluation, security hardening, design documentation, code review, mentoring, and on-call ownership.

Provide in-house legal counsel for procurement, supply chain, logistics, operations and real estate across North America. Draft, review, and negotiate vendor and service agreements, manage vendor disputes and pre-litigation issues, support M&A due diligence, develop contracting templates and playbooks, and advise on operational risk, compliance, and strategic transformation initiatives.

Drive enterprise SaaS growth by sourcing and qualifying opportunities, engaging executive stakeholders, leading consultative sales cycles, closing seven-figure deals, forecasting pipeline, and exceeding revenue targets. The role requires technical and value-based selling across marketing, IT, ecommerce, and customer experience functions, with cross-functional collaboration across Sales Engineering, Product, Marketing, and Leadership.

Own and evolve a BigQuery and dbt marketing data platform while designing, deploying, and securing AI applications and agents on Google Cloud. Build ETL/ELT pipelines, self-service automation tools, and production-grade infrastructure. Establish engineering standards for AI-assisted development, including testing, version control, CI/CD, security, governance, and reliability. Provide architectural leadership and collaborate with marketing, product, finance, sales, and analytics teams.

Leads enterprise AI solution strategy, architecture, pre-sales, and implementation delivery for customers across the Americas. Defines AI use cases, validates feasibility, designs scalable architectures, guides Professional Services teams, and resolves complex technical challenges. Develops AI service offerings, methodologies, reusable assets, and enablement programs while mentoring architects, consultants, and project leaders. Requires deep experience with enterprise transformations, LLMs, multi-agent systems, generative AI, data architecture, cloud platforms, and production AI deployments.

Designs and operates production ML and LLM platforms, including training, evaluation, deployment, monitoring, CI/CD, observability, governance, guardrails, and cost controls. Builds secure, compliant healthcare AI systems on GCP using Vertex AI, containers, Kubernetes, and Cloud Run. Requires strong Python, ML engineering, LLM production experience, and expertise in model lifecycle management, data provenance, privacy, and regulated environments.

Own strategic enterprise customer relationships from pilot through adoption, renewal, and expansion. Build account plans, engage executive sponsors, lead business reviews, support deployments, drive commercial expansion, manage escalations, provide product feedback, and develop customer case studies. The role also helps establish the enterprise customer success playbook and requires 30–50% travel.