Jobs at Health In Tech

This 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 language model infrastructure, including training, inference, and optimization techniques to enhance performance and reduce costs. Key responsibilities include collaborating with cross-functional teams to deliver AI-powered products, implementing guardrails and governance frameworks, and leveraging technologies like PyTorch and AWS to solve complex engineering challenges. The role appeals to candidates passionate about applying cutting-edge research to real-world problems in a culture that values innovation, technical excellence, and ethical AI deployment. While the listing mentions specific locations, the team operates with a focus on high-impact, scalable solutions that directly improve customer experiences.

This lead AI engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible generative AI platforms and LLM infrastructure. The position involves designing and deploying scalable AI components such as foundation model training, inference systems, and guardrails while leveraging technologies like PyTorch and AWS. Key responsibilities include optimizing large-scale production systems for performance and cost, collaborating with cross-functional partners to deliver AI-powered products, and contributing to the long-term technical vision for foundational AI. The role appeals to candidates passionate about applying cutting-edge research to real-world banking challenges, offering the opportunity to work on high-impact problems that transform customer experiences. The position is based in major US hubs including Cambridge, McLean, New York, and San Francisco.

This role involves serving as a Communications and Data Analysis Specialist within a 24-hour Cybersecurity Operations Center for a national security organization. The position requires holding a security clearance and focuses on managing data requests, coordinating with technical teams, and supporting audits and regulatory compliance activities. Key responsibilities include collecting and validating cybersecurity data, preparing shift reports for management, and acting as the primary liaison between the CSOC and external stakeholders. The opportunity is appealing for professionals passionate about protecting critical infrastructure from nation-state attacks while working in a mission-critical environment. The role offers the chance to collaborate with experts in cybersecurity engineering and threat analysis to ensure the confidentiality and integrity of vital systems.

This full-time Account Executive role within the AWS ProServe team focuses on driving cloud transformation projects for Financial Services clients across North America. The position involves leading business development efforts by engaging C-level executives, defining strategic outcomes, and securing agreements for IT strategy and hybrid cloud operations. Key responsibilities include developing unified account plans, collaborating with internal sales and delivery teams, and ensuring successful project delivery that meets customer business goals. The role offers the appeal of working with a global team of experts on cutting-edge cloud technologies while fostering a culture of inclusion, mentorship, and continuous learning. While the position is based in the United States, it requires up to 50% travel to customer sites.

This full-time Account Executive role within the AWS Professional Services team focuses on driving cloud transformation projects for Financial Services customers across North America. The position involves leading business development efforts by engaging C-level executives, defining strategic business outcomes, and securing agreements for IT strategy and hybrid cloud operations. Key responsibilities include developing unified account plans, collaborating with internal sales and delivery teams, and ensuring successful project delivery that meets customer satisfaction targets. The role appeals to professionals seeking a dynamic environment with a global team of experts, offering opportunities for mentorship, career growth, and a culture that values diverse experiences and work-life harmony. While the position is based in the United States, it may require up to 50% travel to customer sites.

The Sr. Delivery Practice Manager role within AWS Professional Services involves leading a team of Delivery Consultants to support enterprise customers in executing transformative cloud projects. Key responsibilities include managing practice P&L, overseeing on-time and on-budget delivery of engagements, and serving as a strategic advisor to C-level executives and partners. The position requires translating technical concepts into business value while driving business development initiatives. This opportunity appeals to leaders seeking to shape forward-looking IT strategies within a global, inclusive culture that empowers experts to deliver exceptional results. The role offers the chance to work with cutting-edge cloud technologies and build strong relationships across sales, delivery, and customer teams.

This entry-level civil engineering role focuses on water and wastewater infrastructure projects within the Coeur d'Alene, Idaho office. The position supports engineers in training or newly licensed professionals by assisting with system design, analyzing engineering data, and participating in site visits and public meetings. Key responsibilities include utilizing design tools like WaterCAD and Bluebeam while collaborating with planners and public agencies to move projects from concept to construction. The role is appealing due to J-U-B's strong commitment to professional growth, offering structured mentorship from licensed engineers and a clear path to PE licensure. Employees benefit from a collaborative, team-oriented culture, access to a vibrant community with outdoor recreation, and opportunities for ownership in an employee-owned firm.

The AI Architect role involves designing and delivering production-ready machine learning solutions for a K12 education organization. Key responsibilities include leading the end-to-end development of NLP and recommender systems, managing cloud infrastructure on AWS and Azure, and supervising a small team of AI engineers. The position requires aligning technical initiatives with business goals while ensuring strict adherence to data privacy and responsible AI governance. This opportunity appeals to candidates passionate about educational technology, offering a remote work arrangement and the chance to drive meaningful impact through scalable AI products. The role emphasizes a collaborative culture where technical mentorship and strategic innovation are central to success.

The AI Architect role leads the design and delivery of production-ready machine learning solutions within the K12 education sector. Key responsibilities include driving the end-to-end development of NLP and recommender systems, managing cloud infrastructure on AWS and Azure, and supervising a small team of AI engineers. The position requires aligning technical initiatives with business goals while ensuring strict adherence to data privacy and responsible AI governance. This opportunity appeals to candidates passionate about educational technology, offering a home-based work arrangement and the chance to shape strategic AI adoption that improves student outcomes.

The AI Architect role leads the design and delivery of production-ready machine learning solutions within the K12 education sector. Key responsibilities include driving the end-to-end development of NLP and recommender systems, managing cloud infrastructure across AWS and Azure, and supervising a small team of AI engineers. The position requires aligning technical initiatives with business goals while ensuring strict adherence to data privacy and responsible AI governance. This opportunity appeals to candidates passionate about educational technology, offering a home-based work arrangement and the chance to shape strategic AI adoption that improves student outcomes.

The AI Architect role involves designing and delivering production-ready machine learning solutions for a K12 education organization. Key responsibilities include leading the end-to-end development of NLP and recommender systems, managing cloud infrastructure on AWS and Azure, and supervising a small team of AI engineers. The position requires aligning technical initiatives with business goals while ensuring strict adherence to data privacy and responsible AI practices. This opportunity is appealing for its focus on impactful educational technology, the chance to drive strategic innovation, and the flexibility of a fully remote work arrangement.

The AI Architect role involves designing and delivering production-ready machine learning solutions for a K12 education organization. Key responsibilities include leading the end-to-end development of NLP and recommender systems, managing cloud infrastructure on AWS and Azure, and supervising a small team of AI engineers. The position requires aligning technical initiatives with business goals while ensuring strict adherence to data privacy and responsible AI governance. This opportunity appeals to candidates passionate about leveraging AI to improve educational outcomes, offering a home-based work arrangement and a collaborative environment focused on innovation and professional growth.

This hybrid Presales Consultant role focuses on enterprise collaboration and unified communications solutions within the HP ecosystem. The position involves designing complex technical strategies for video conferencing and cloud-based environments, acting as a trusted advisor to executive stakeholders, and leading demonstrations of HP collaboration endpoints. Key responsibilities include architecting integrations with platforms like Microsoft Teams and Zoom, developing strategic account plans, and mentoring junior team members. The role appeals to professionals seeking to solve intricate technical challenges in hybrid work settings while driving revenue growth. It offers a collaborative culture with opportunities for professional development and flexibility through a hybrid work arrangement.

This onsite Principal Project Engineer Lead role within the Engines and MEMS Sensors design department at Collins Aerospace focuses on guiding the development of highly reliable aerospace products. The position involves providing technical leadership to multi-discipline teams, managing project budgets and schedules using earned value reporting, and serving as the primary customer contact for design reviews and presentations. Key responsibilities include coordinating hardware and software configurations, identifying cost-saving opportunities, and driving innovation from concept through completion. The role appeals to experienced professionals seeking to shape the future of defense and aviation technology within a collaborative culture that values complex problem-solving. It offers significant growth opportunities to mentor engineers and lead high-visibility projects in a setting that supports professional development and work-life balance through comprehensive benefits.

The Senior Practice Management Strategist role operates within the Practice Management team at a Fortune 500 financial services firm, focusing on empowering financial advisors through strategic tools and insights. Key responsibilities include defining the roadmap for practice health platforms, developing diagnostic frameworks to drive data-driven decision-making, and leading cross-functional initiatives to enhance business planning solutions. The position requires systems thinking to integrate digital and non-digital capabilities while mentoring others and navigating complex, ambiguous challenges. This opportunity appeals to candidates seeking a purpose-driven environment where people are prioritized over shareholder returns, offering a culture of inclusion and belonging. The role is based in Tempe, Arizona, or St. Louis, Missouri, with a hybrid work arrangement requiring four days per week in the office.

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 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 distinguished AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building an enterprise Generative AI platform for agentic workflows. The position involves designing the core framework for agent orchestration, developing shared services like memory and guardrails, and standardizing patterns across major frameworks to ensure scalable, production-grade applications. Key responsibilities include creating developer tools such as SDKs and CLI kits to accelerate prototyping, implementing trust and safety measures to prevent incidents, and optimizing system performance for multi-tenant environments. The role appeals to senior engineers seeking to lead high-impact innovation in responsible AI, offering the opportunity to mentor staff-level engineers, influence cross-functional architecture, and represent the company at major industry conferences. The position is based in major hubs including Cambridge, McLean, New York, and San Francisco.

This full-time Distinguished AI Engineer role is based remotely within Capital One's Intelligent Foundations and Experiences team, focusing on building responsible and scalable AI systems for the banking sector. The position involves designing and deploying large-scale AI components such as foundation model training, LLM inference, and guardrails while leveraging technologies like PyTorch and AWS. Key responsibilities include inventing state-of-the-art optimization techniques to improve system performance and contributing to the long-term technical vision for foundational AI. The role appeals to candidates seeking to lead cross-functional teams in a culture that values innovation, technical excellence, and the mission to transform banking through technology.

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.