Top Remote Jobs in Albuquerque, NM

Leads a team responsible for hardware-in-the-loop verification and validation of autonomous trucks. Owns HiL strategy, roadmap, test campaigns, bench development, requirements traceability, safety compliance, defect triage, and V&V reporting. Partners with product, systems, safety, tools, and external vendor teams. Guides testing aligned with ISO 26262 and ISO 21448, including fault handling, safety mechanisms, autonomous driving systems, and performance limitations.

Develop secure, scalable full-stack applications using Java, Spring Boot, microservices, REST APIs, AWS, Docker, and Kubernetes, while leading Angular frontend architecture and development. Build responsive interfaces with Angular, TypeScript, NgRx, RxJS, and Angular Material. Contribute across the software development lifecycle, including design, testing, automation, troubleshooting, and deployment. The role requires enterprise architecture experience, Agile collaboration, and mandatory fraud prevention domain expertise.

Develop and maintain responsive Angular web applications using Angular 19+, Signals, Reactive Forms, and modular component architecture. Build complex forms, integrate REST APIs with RxJS, optimize change detection and performance, and create unit tests with Vitest or Jest. Collaborate with design, backend, and product teams, troubleshoot cross-browser issues, participate in code reviews, and follow modern front-end development practices.

Designs, develops, and optimizes agentic AI workflows using LLMs, agent frameworks, RAG pipelines, APIs, and enterprise integrations. Builds multi-agent systems, tool-calling capabilities, memory management, human-in-the-loop processes, backend services, evaluation pipelines, and workflow automation. Optimizes prompts, retrieval, accuracy, latency, and cost, while deploying and monitoring production GenAI applications in cloud environments.

Develop and modernize SQL Server-backed data-access systems for medical imaging workflows. Responsibilities include database schema refactoring, query optimization, indexing, migration tooling, secure and reliable data access, CI/CD automation, testing, technical standards, architecture planning, code reviews, and developer mentorship. The role uses Kotlin, jOOQ, SQL Server, Liquibase, Gradle, and containerized testing to improve performance and maintainability without disrupting clinical users.

Build and own full-stack, AI-native products for online learning using TypeScript, Vue.js, Node.js, Azure, retrieval pipelines, agentic workflows, model APIs, and LLM evaluations. Lead features from prototype through production, ensuring scalability, security, observability, cost control, and graceful model failure handling. Mentor engineers, establish AI-assisted development standards, conduct code reviews, and collaborate with product and engineering teams in a remote, async-first environment.

Leads the architecture and delivery of AI-native, full-stack products using TypeScript, Vue.js, Node.js, PostgreSQL, and Azure. Designs retrieval pipelines, agentic workflows, model integrations, evaluation frameworks, observability, and human-in-the-loop experiences. Sets technical direction, leads cross-functional initiatives, mentors engineers, establishes engineering standards, and ensures AI systems are reliable, secure, scalable, accessible, and cost-effective in production.

Creates and manages high-quality graphic, motion, video, web, social, paid media, and print assets for B2B and B2C audiences. Develops visual concepts, maintains brand standards, supports performance marketing and lead acquisition, manages projects from ideation through delivery, and collaborates with creative, marketing, and cross-functional teams. The role also applies AI tools, manages digital assets, and provides brand guidance in a fully remote environment.

Leads and develops Advisor Success Managers, overseeing advisor engagement, retention, portfolio health, performance, and operational consistency. Translates vertical strategy into execution plans, monitors advisor risk and outcomes, and partners cross-functionally to resolve systemic issues. Provides oversight for corporate client support, complex escalations, strategic account reviews, and advisor-client relationships. Ensures consistent processes, Salesforce hygiene, reporting, communication, and service quality across business travel portfolios.

Develops and implements training programs supporting safeguards and security projects. Provides organizational development, instructional design, training, and subject matter expertise to DOE/NNSA, DTRA, and other U.S. government agencies. The role requires a bachelor’s degree, 12 years of related experience or equivalent qualifications, security clearance, travel, drug screening, and occasional physical activity.

Supports enterprise AI transformation initiatives by developing and evaluating machine learning, generative AI, data science, retrieval-augmented generation, and workflow automation solutions. Responsibilities include data preparation, feature engineering, model training and validation, AI quality assessment, dashboard and documentation development, and collaboration with technical and business stakeholders on secure, practical AI applications.

Lead end-to-end red-teaming campaigns against frontier AI models by defining threat models, designing attack scenarios and taxonomies, coordinating operators, and producing executive risk reports. Establish recurring testing cadences, track exploit families, measure severity and user harm, maintain dashboards, and partner with research, product, and operations teams to validate fixes and run regression tests.

Technical Architect role listed as a replacement position. The description provides no details about responsibilities, required technologies, qualifications, compensation, travel, or clearance requirements.

Builds and operates AWS developer-platform infrastructure, CI/CD pipelines, Terraform-based service infrastructure, Kubernetes and serverless workloads, and self-service onboarding workflows. Responsibilities include configuring connectivity, secrets, observability, security controls, and environment promotion; troubleshooting delivery and production issues; supporting releases; managing infrastructure drift; and contributing to AI-augmented automation and tooling. The role partners with Engineering, Release, SRE, and Infrastructure teams while maintaining documentation and compliance evidence.

Lead a small AI engineering team while remaining hands-on in research and production software development. Build agentic capabilities for monitoring, guardrailing, evaluation, collaboration, and security. Perform exploratory data analysis, feature engineering, model fine-tuning, prototyping, and technical design. Translate AI research into scalable product features, set technical direction, mentor engineers, and deliver reliable production code.

Develop and optimize generative AI architectures for material and molecular discovery, including diffusion models, flow matching, and GFlowNets. Integrate reward signals from learned predictors and simulations, manage data ingestion and quality control, develop computational workflows, and deploy production-grade ML capabilities. Collaborate with ML researchers, computational scientists, engineering, product, and R&D teams. The role requires expertise in applied ML, scalable frameworks, cloud platforms, and material discovery, with preferred experience in active learning, Bayesian optimization, guided generation, and agentic or LLM methods.

Build production-ready agentic AI capabilities focused on monitoring, guardrails, evaluation, security, quality, and human-agent collaboration. Perform machine learning tasks including exploratory data analysis, feature engineering, and model fine-tuning. Translate research into scalable software, rapidly prototype features, collaborate cross-functionally, and explore emerging agentic technologies.