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You will own complex projects from technical design through implementation and operation, focusing on the reliability and performance of the Test runtime platform. Additionally, you will mentor other engineers, contribute to technical direction, and collaborate across teams to improve system abstractions.
The Subject Matter Expert will collaborate with the Learning Experience Design team to shape AI management curriculum and create engaging on-demand course content. They are responsible for recording instructional videos and guiding learners through practical AI adoption strategies.
Develop and deploy deep learning models to predict signaling effects of therapeutic interventions and design experiments to validate systems biology models. Collaborate with cross-functional teams to address complex biological problems and present research findings to diverse audiences.
The role involves developing and deploying innovative AI models for antibody drug design while partnering with cross-functional teams to optimize therapeutic design pipelines. You will analyze validation results to iteratively improve methodologies and publish high-impact research to advance the company's position in the field.
The Senior Telecommunications Engineer is responsible for researching and creating complex engineering designs and construction packages for utility telecommunications solutions. They must collaborate with cross-functional teams and field technicians to ensure implementation feasibility and adherence to client standards.
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The Senior SCADA Engineer will plan, direct, and implement advanced SCADA systems while leading the design and configuration for ADMS transitions. They are responsible for troubleshooting diagnostics, integrating historians, and ensuring compliance with NERC CIP-004 standards.
Provide advanced L2/L3 production support for Tecsys Elite WMS and Distribution ERP systems. Manage complex troubleshooting, system integrations, and incident resolution to ensure stable warehouse and supply chain operations.
The architect will design and launch a secure, unified communication system for the organization, starting with a pilot and moving to ongoing maintenance. They are responsible for ensuring all system components are secure, verified, and include human-in-the-loop approval checkpoints.
The Sr. Engineer II will architect, develop, and deploy complex intelligent automation and Agentic AI solutions to drive operational efficiency. They will also provide technical consultation, conduct feasibility studies, and mentor citizen developers while maintaining secure enterprise automation environments.
The Manager will lead a team to transform data into actionable business insights and measurable outcomes. They will partner with cross-functional leaders to modernize analytics workflows using AI, automation, and cloud-based platforms.
You will design and architect secure network patterns across hybrid cloud environments to reduce attack surfaces and improve platform scalability. Additionally, you will lead threat modeling efforts and mentor junior engineers to drive strategic security improvements.
The role involves conducting proactive threat hunting in AWS environments to identify adversarial activity and anomalies. You will also manage client projects, provide technical security recommendations, and produce high-quality reports for stakeholders.
Lead the design, architecture, and implementation of enterprise Identity and Access Management (IAM) solutions using the SailPoint platform. Collaborate with cross-functional teams to ensure access lifecycle, provisioning, and compliance requirements are met effectively.
The Senior Director of Cloud Security leads the global strategy, architecture, and governance of cloud security across multi-cloud and hybrid environments. This role is responsible for building strong partnerships with technology teams to protect corporate assets while enabling business velocity and regulatory compliance.
You will partner with cross-functional teams to design, develop, and deploy scalable AI software components including foundation models and LLM inference. You will also contribute to the technical vision and long-term roadmap for foundational AI systems at Capital One.
Lead the architecture, design, and engineering delivery of the organization's agentic AI platform and related solutions. Oversee end-to-end AI engineering operations, including development, deployment, monitoring, and continuous improvement.
The Director will drive the engineering strategy, delivery, and operational excellence for the organization's agentic AI operating system. They will lead cross-functional teams to build scalable, secure, and high-performing AI foundations that support enterprise-wide intelligent workflows.
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Lead the rapid design, development, and validation of agentic AI proof-of-concepts to demonstrate enterprise value. Collaborate with cross-functional teams to transition successful prototypes into production roadmaps and establish repeatable experimentation methodologies.
Develop and maintain automated test scripts using Playwright while performing manual QA testing to ensure high-quality software outcomes. Collaborate with cross-functional teams to track defects, validate data, and support the ongoing migration and modernization project.
The architect designs, builds, and owns the enterprise identity and access management architecture, covering both human and non-human identities. They define governance standards and partner with engineering teams to embed identity-first design into new systems.
You will own the product direction and execution of the full Sureel stack, bridging business strategy, customer needs, and technical implementation. This involves hands-on product discovery, roadmap development, and working directly with engineering and AI teams to build scalable enterprise-grade infrastructure.
You will design, develop, and maintain control plane services to unify Starburst's self-managed and SaaS deployment models. This involves owning the reliability, scalability, and efficiency of backend services and cloud infrastructure across multiple environments.
You will independently deliver full-stack features and improvements for healthcare technology, owning the design, implementation, and deployment process. You will also collaborate with product and QA teams to debug production issues and mentor junior team members.
Design, develop, and optimize scalable data pipelines and ETL workflows using SQL, Snowflake, dbt, and Python. Collaborate with cross-functional teams to translate business requirements into robust data models and maintain data infrastructure.
The AI Native Engineer will build and embed AI-powered workflows across growth marketing, creative production, CRM, and landing pages to automate processes and improve performance. They will also develop internal tools and infrastructure to reduce manual analytical work and accelerate decision-making across the growth organization.
The Automation Test Engineer will design and execute automated testing solutions for ETL pipelines, backend systems, and cloud-based data platforms. They will collaborate with cross-functional Agile teams to ensure data integrity, perform root cause analysis, and validate complex data transformations.
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The AI Engineer is responsible for monitoring, maintaining, and ensuring the reliability of AI models and agent-based systems in production. They manage incident response, model lifecycle operations, and ensure compliance with governance and responsible AI standards.
Lead end-to-end project management for strategic Talent system implementations, including requirement analysis, solution design, and resource management. Ensure project success through effective risk mitigation, budget oversight, and clear stakeholder communication.
You will design, scale, and govern the machine learning practice, focusing on strategic decision-making for AI systems and platform development. You will collaborate with product leaders and engineering teams to align technical standards with business objectives while mentoring junior staff.
The Senior Business Analyst will define business needs, gather requirements, and lead process improvement initiatives within a Guidewire PolicyCenter environment. They are responsible for mentoring team members, facilitating stakeholder discussions, and ensuring technical solutions align with business objectives.
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