Jobs at Azure Palm Hot Springs

The Manager, IT Operations & Security role serves as the sole technology leader responsible for the full lifecycle of the company's infrastructure, security, and support functions. Key duties include maturing the security program through identity management and incident response, overseeing IT support and device lifecycles, and architecting AI-driven automation solutions to enhance operational efficiency. This position appeals to candidates seeking high ownership in a high-impact environment where strategic planning blends with hands-on execution. The role offers a hybrid work arrangement based in Ames, Iowa, supported by a flexible culture that prioritizes work-life balance, continuous learning, and collaborative problem-solving.

This mid-level Software Engineer role within HII's Warfare Systems group supports the Defense Security Cooperation Agency by designing and maintaining scalable web applications and backend services using .NET Core and C#. Key responsibilities include developing RESTful APIs, implementing automation solutions with UiPath RPA, and collaborating with cross-functional teams to modernize enterprise systems. The position offers a remote work arrangement with flexible alignment to Eastern Time core hours, providing an opportunity to contribute to national security missions in a supportive environment that prioritizes professional growth and continuous learning.

This mid-level Programmer Analyst role within HII's Warfare Systems group supports the Defense Security Cooperation Agency by ensuring the quality and reliability of enterprise applications and data platforms. The position involves designing test strategies, developing automated scripts using Python, and executing comprehensive testing across web interfaces, APIs, and data pipelines built with technologies like React, Flask, SQL, and Databricks. Key responsibilities include collaborating with development teams to track defects, validating data integrity, and contributing to Agile ceremonies. The role is appealing for its opportunity to work on mission-critical national security solutions in a supportive, values-driven culture. It is a full-time remote position requiring alignment with Eastern Time Zone core hours and an active Secret security clearance.

This Systems Engineer role at Boeing supports advanced defense and weapon system programs in St. Louis, covering areas like aircraft development, autonomous systems, and precision engagement. The position involves leading engineering efforts for new development and sustainment, translating operational needs into performance requirements, and guiding cross-functional teams through design reviews and verification processes. Key responsibilities include performing safety and reliability analyses, implementing Model Based Systems Engineering methodologies, and mentoring junior engineers. The role appeals to professionals seeking to work on cutting-edge technology within a culture that values innovation and professional growth. The position is fully onsite with potential domestic or international travel and requires U.S. citizenship for security clearance eligibility.

This experienced or lead Systems Engineer role supports Boeing's St. Louis teams developing advanced defense and weapon systems. The position involves leading engineering efforts for new development and sustainment programs, translating operational needs into system requirements, and guiding cross-functional teams through design reviews and verification processes. Key duties include performing safety and reliability analyses, implementing Model Based Systems Engineering methodologies, and mentoring junior engineers. The role offers the opportunity to work on cutting-edge platforms like fighter jets and autonomous systems within a culture that values innovation and professional growth. This is a fully onsite position in Missouri with potential for domestic or international travel, requiring U.S. citizenship and eligibility for a security clearance.

This early-career AI Engineer role at Illumina's San Diego headquarters focuses on building production AI features that advance genomic health equity. The position involves implementing LLM integrations, developing RAG systems, and writing clean Python code to support real-world applications. Key responsibilities include evaluating model performance, analyzing system metrics for optimization, and collaborating with cross-functional teams to solve user problems. The role is appealing due to its strong mentorship structure, hands-on experience with modern AI tools, and the opportunity to contribute to life-changing discoveries. It offers a collaborative culture that values curiosity and ownership, providing a clear path for growth into senior engineering responsibilities within a mission-driven organization.

This full-time Security Engineer role supports a large-scale web-based government application within Peraton's national security division. The position focuses on implementing and sustaining a comprehensive security posture aligned with NIST SP 800-53, SOC 2 Type II, and OWASP Top 10 standards. Key responsibilities include designing security controls, managing Web Application Firewalls, overseeing encryption protocols, conducting software composition analysis, and leading incident response activities. The role appeals to professionals seeking to protect critical infrastructure while working in a mission-driven environment that values rigorous compliance and data sovereignty. The position is remote but requires residence in Oregon or Washington to facilitate occasional onsite travel near Salem, Oregon.

This full-time Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building scalable infrastructure for foundation model hosting and large language model inference. The position involves designing and deploying AI software components, optimizing LLM performance for cost and latency, and implementing governance and observability tools using technologies like PyTorch and AWS. The role appeals to candidates seeking to apply cutting-edge research to real-world banking challenges while contributing to a culture of responsible AI innovation. The team collaborates cross-functionally to deliver high-impact products, offering opportunities for technical growth and shaping the future of AI systems in a major financial institution.

This Lead AI/ML Engineer role within the Intelligent Foundations and Experiences team focuses on building scalable, responsible AI infrastructure and platforms at Capital One. Key responsibilities include designing and deploying large language model systems, optimizing foundation model training and inference for performance and cost, and implementing governance and observability tools using technologies like Kubeflow and PyTorch. The position appeals to technical leaders who thrive on solving undefined problems and applying cutting-edge research to real-world banking challenges. The role offers the opportunity to shape the long-term technical vision for AI while working in a collaborative environment that values innovation, quality, and the mission to transform banking for good.

This senior distinguished AI engineering role at Capital One focuses on building responsible and scalable AI systems within the Intelligent Foundations and Experiences team. The position involves designing and deploying large-scale AI components, including foundation model training, LLM inference, and optimization techniques to enhance performance and cost efficiency. Key responsibilities include partnering with cross-functional teams to deliver AI-powered products, leveraging technologies like PyTorch and AWS, and contributing to the long-term technical vision for foundational AI. The role appeals to candidates passionate about applying cutting-edge research to transform banking, offering the opportunity to solve undefined problems in a collaborative environment that values technical excellence and innovation. The position is based in various US locations including Cambridge, McLean, New York, Richmond, San Francisco, and San Jose.

This distinguished AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on architecting and launching conversational experiences powered by state-of-the-art Generative AI for millions of customers. Key responsibilities include designing and deploying large-scale AI systems involving foundation model training, LLM inference, and optimization techniques to ensure scalability and low latency. The position requires collaborating with cross-functional teams to integrate advanced technologies like PyTorch and vector databases while contributing to the long-term technical vision of the organization. The role is appealing for its opportunity to lead breakthrough product experiences that transform banking, offering a culture that values innovation, technical excellence, and responsible AI deployment. The position is based in major hubs including Cambridge, McLean, or New York.

This full-time Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable GenAI platforms, including LLM core and agentic systems. Key responsibilities involve designing and deploying AI software components such as foundation model training, inference, and guardrails, while optimizing large-scale production systems for performance and cost. The position offers the appeal of working at the forefront of applied science to transform banking, with a collaborative culture that encourages innovation and the application of cutting-edge research. The role requires deep technical expertise in Python and cloud infrastructure to solve undefined problems and deliver high-impact customer experiences.

This full-time Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable AI systems to transform banking services. The position involves designing and deploying large-scale AI components, including foundation model training, LLM inference, and optimization techniques to enhance performance and cost-efficiency. Key responsibilities include collaborating with cross-functional partners to deliver AI-powered products, implementing state-of-the-art research in production environments, and contributing to the long-term technical roadmap. The role is appealing for its opportunity to work with cutting-edge technologies like PyTorch and AWS Ultraclusters while driving meaningful change in customer experiences. It offers a collaborative culture that values innovation and technical excellence, with a hybrid work arrangement based on the specific location.

The Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable AI systems for the banking sector. Key responsibilities include designing and deploying large language model solutions, optimizing foundation model training and inference, and implementing governance and observability tools using technologies like PyTorch and AWS. The position appeals to technical leaders who enjoy solving undefined problems and applying cutting-edge research to real-world products. The team offers a collaborative environment dedicated to transforming customer experiences through innovation, with opportunities to shape the long-term technical vision of foundational AI infrastructure.

This senior distinguished AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building a proprietary Agentic AI Platform to transform banking services. The position involves designing north-star platform architectures, standardizing agentic workflows using frameworks like LangGraph and AutoGen, and developing a comprehensive GenAI SDK to accelerate production timelines. Key responsibilities include implementing trust and safety guardrails, optimizing orchestration for performance and cost, and mentoring engineering teams while representing the company at industry conferences. The role appeals to candidates seeking to lead breakthrough applied science initiatives in a collaborative environment where responsible AI drives real customer impact. The position is based in major US hubs including McLean, Cambridge, New York, and San Francisco.

This distinguished AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on architecting and launching conversational experiences powered by state-of-the-art Generative AI for millions of customers. Key responsibilities include designing and deploying large-scale AI systems involving foundation model training, LLM inference, and optimization techniques to ensure scalability and cost-efficiency. The position requires collaborating with cross-functional teams to integrate proprietary AI solutions while contributing to the long-term technical vision. The role is appealing for its opportunity to lead breakthrough product experiences that reimagine banking, offering a chance to work with cutting-edge technologies like PyTorch and AWS Ultraclusters in a culture that values responsible AI innovation and technical excellence.

The Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable AI systems that transform banking services. Key responsibilities include designing and deploying large language model infrastructure, optimizing model performance for latency and cost, and implementing governance and observability tools using technologies like PyTorch and AWS. The position appeals to candidates passionate about applying cutting-edge research to real-world problems, offering the opportunity to shape the technical vision for foundational AI. The role involves collaborating with cross-functional partners to deliver high-impact products and provides a dynamic environment for engineers who thrive on solving undefined challenges.

This lead AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building scalable infrastructure for foundation model hosting and large language model inference. The position involves designing and deploying AI software components, including model training, similarity search, and guardrails, while leveraging technologies like PyTorch and AWS. Key responsibilities include inventing state-of-the-art optimization techniques to enhance system performance, latency, and cost, as well as contributing to the long-term technical vision for foundational AI systems. The role appeals to candidates passionate about applying cutting-edge research to transform banking, offering the opportunity to work on high-impact problems in a collaborative environment that values responsible AI. The position is based in major US hubs including Cambridge, McLean, New York, and San Jose.

The Distinguished AI Engineer role at Capital One's Intelligent Foundations and Experiences team focuses on building responsible, scalable AI systems that transform banking services. Key responsibilities include designing and deploying large-scale AI components such as foundation model training and LLM inference, optimizing system performance for cost and latency, and collaborating with cross-functional partners to deliver innovative product experiences. This position appeals to technical leaders who thrive on solving undefined problems and shaping the long-term technical vision for AI infrastructure. The role offers the opportunity to work with cutting-edge open-source technologies and a collaborative culture dedicated to bringing humanity and simplicity to financial services.

The Sr. Distinguished AI Engineer role at Capital One is a senior leadership position within the Intelligent Foundations and Experiences team, focused on building responsible and scalable AI systems for the banking sector. Key responsibilities include designing and deploying large-scale AI components such as foundation model training and LLM inference, optimizing system performance for cost and latency, and contributing to the long-term technical vision for foundational AI. The position appeals to candidates who thrive on solving undefined problems and applying cutting-edge research to real-world products. It offers the opportunity to work with a diverse stack of open-source and cloud technologies while influencing cross-functional stakeholders. The role is based in various US locations including McLean, Richmond, New York, Cambridge, and San Francisco.

The Senior Distinguished AI Engineer role at Capital One's Intelligent Foundations and Experiences team focuses on building responsible, scalable AI systems that transform banking services. Key responsibilities include designing and deploying large language model infrastructure, optimizing model performance for latency and cost, and collaborating with cross-functional partners to deliver AI-powered products. The position leverages advanced technologies like PyTorch and AWS to solve complex, undefined problems while shaping the long-term technical vision for foundational AI. This opportunity appeals to those seeking to apply cutting-edge research in a high-impact environment, offering the chance to work on systems that serve millions of customers with a focus on innovation and ethical AI deployment.

The Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable AI systems to transform banking services. Key responsibilities include designing and deploying large language model infrastructure, optimizing model performance for cost and latency, and implementing governance and observability tools using technologies like PyTorch and AWS. The position appeals to candidates seeking to apply cutting-edge research to real-world problems in a collaborative environment that values technical excellence and innovation. The role offers the opportunity to shape the long-term technical vision of foundational AI systems while working with a diverse, cross-functional team.