Collaborate with AI labs to design domain-specific problems and datasets for evaluating generative AI models. Contribute to technical reports and research papers to advance frontier AI research.
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Collaborate with AI labs to design domain-specific problems and datasets for evaluating advanced generative AI models. Contribute to technical reports and research papers while engaging with an interdisciplinary network of experts.
Lead and coordinate a distributed cross-functional team while providing architectural guidance across all platform layers. Serve as the primary technical point of contact for client stakeholders and ensure alignment with product roadmaps and engineering standards.
The Principal AI Developer Experience Architect will design and own the end-to-end architecture for AI-augmented development, ensuring enterprise-grade AI coding assistants are secure, performant, and reliable. They will lead the integration of AI-driven code review tools and establish global standards for AI-assisted workflows across the engineering organization.
You will design, build, and scale the company's telephony infrastructure and APIs while managing integrations with providers like Twilio. Additionally, you will develop intelligent call routing workflows and ensure high system reliability, performance, and observability.
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Senior Forward Deployed Engineer
Vista Equity Partners Management
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Full Time
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15 Weeks Ago
Vista Equity Partners Management
Embed within engineering organizations to deliver production outcomes and build advanced agentic workflows on accelerated timelines. Partner with engineering leadership to scope high-leverage opportunities and contribute reusable accelerators to the firm's shared playbooks.
The role involves developing and maintaining scalable, interactive, and accessible web applications using React and modern frontend technologies. You will collaborate with cross-functional teams to translate complex data into intuitive dashboards while ensuring high code quality and technical feasibility.
The Technical Account Manager will lead the transition of customer AI workloads from proof-of-concept to stable, scalable production environments. They will act as a trusted technical partner to optimize performance, cost-efficiency, and reliability while managing incidents and providing feedback to internal product teams.
You will explore and prepare datasets while training and evaluating machine learning models under the guidance of senior scientists. Additionally, you will write and maintain production-ready Python code and contribute to the development of LLM-powered systems.
You will build, iterate, and deploy machine learning models while maintaining production pipelines and contributing to LLM-powered systems. Additionally, you will analyze large multimodal datasets to extract insights and write clean, production-quality Python code.
You will lead the technical direction for AI projects, including scoping problems, building training infrastructure, and shipping production-grade models. You are responsible for the end-to-end lifecycle of AI systems, from data curation and model selection to monitoring and debugging in production.
You will lead the technical direction for AI projects, including scoping problems, choosing modeling approaches, and building training infrastructure. You are responsible for shipping production-ready AI systems, including agentic pipelines and inference services, while mentoring junior scientists.
Design, build, and deploy end-to-end predictive models while managing the full machine learning lifecycle. Collaborate with domain experts to translate research literature into production-grade systems that handle complex biological data.
The Senior Machine Learning Engineer will lead technical initiatives, mentor team members, and design end-to-end predictive models for biological data. They are responsible for the full machine learning lifecycle, from research and prototyping to production deployment and monitoring.
You will work within the Cloud Infrastructure Team to manage high-scale FedRAMP environments and collaborate with R&D to enhance system reliability. Additionally, you will be responsible for operational duties including deployments, on-call support, and incident management.
Lead and mentor a team of engineers while managing the enterprise FedRAMP cloud infrastructure. Collaborate with R&D to improve system stability and influence the product roadmap for observability solutions.
The Senior Clinical Oncology Solutions Architect designs, builds, and integrates clinical application solutions across oncology practices. This role involves leading hands-on development of interfaces and ensuring systems are secure, scalable, and compliant with healthcare standards.
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The Solutions Architect analyzes business processes to design and implement scalable technical solutions, including system integrations and custom applications. They are responsible for managing project priorities, gathering requirements, and ensuring all technical designs align with enterprise standards.
Data Scientist / ML Engineer (Antarctica Capital)
EarthDaily Analytics
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Full Time
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16 Weeks Ago
EarthDaily Analytics
The role involves refactoring and improving neural network models for bond risk prediction while designing and deploying scalable machine learning systems. You will also collaborate with data scientists to translate prototypes into production-ready systems and maintain firm-wide ML infrastructure.
You will design, build, and operate LLM-powered agents that coordinate engineering workflows, surface project risks, and generate structured deliverables. Additionally, you will own the agent orchestration layer and collaborate with cross-functional teams to integrate AI features into hardware development platforms.
The Substation Engineer is responsible for the design, implementation, and testing of electrical substations to ensure they meet safety and operational standards. This role involves coordinating with stakeholders, reviewing technical specifications, and providing support during construction and commissioning phases.
The Senior Technical Product Manager leads cross-functional engineering teams to deliver scalable, intelligent solutions within the enterprise domain. They own the product lifecycle from planning through execution while collaborating with data science and business leadership to drive AI-powered educational outcomes.
Senior Clinical Oncology Solutions Architect
Cardinal Health
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Full Time
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16 Weeks Ago
Cardinal Health
The Senior Clinical Oncology Solutions Architect designs, builds, and integrates clinical application solutions across oncology practices within the Navista Network. This role involves collaborating with cross-functional teams to ensure secure, scalable, and interoperable healthcare systems that align with clinical workflows and regulatory standards.
You will own the AI foundation by designing durable, production-grade generative AI systems that power patient engagement and clinical operations. This role involves defining system architecture, setting technical standards for safety and performance, and acting as a technical multiplier for the engineering team.
You will build advanced AI solutions using machine learning, generative, and agentic AI technologies while driving the adoption of modern AI frameworks and cloud-native architectures. Additionally, you will collaborate with customers to translate business challenges into trustworthy AI solutions and provide technical mentorship to junior team members.
You will architect and build AI-native products and agentic workflows to transform HR talent acquisition and analytics. You will own the full product lifecycle, from customer insight to production-ready implementation, while driving technical strategy and mentoring the team.
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You will design, build, and maintain critical infrastructure systems while collaborating with cross-functional teams to deliver high-quality code. The role involves debugging complex production issues and participating in roadmap planning to improve system reliability and developer productivity.
Senior AI Engineer, Agentic Systems
AI Technology Partners
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Full Time
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16 Weeks Ago
AI Technology Partners
You will lead the design and delivery of agentic systems that orchestrate tools, data, and policies to solve complex business workflows. This involves building modular components, ensuring system reliability through observability, and collaborating with enterprise clients to translate business processes into production-ready AI solutions.
You will lead and mentor a structural engineering team on projects for new nuclear facilities and plant upgrades. This involves preparing and reviewing design calculations, developing specifications, and coordinating with clients and other engineering disciplines.
You will perform structural analysis and design for nuclear power plant projects while guiding less experienced team members. Additionally, you will develop engineering deliverables, specifications, and calculations using advanced software tools.
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