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The role focuses on developing attack content and enhancing data model architecture for the NodeZero platform. The engineer will collaborate across teams to improve scalability and resolve product bugs while maintaining high software quality.
The Applied AI Lead identifies high-impact AI opportunities across the business, sizes their potential, and builds the solutions from diagnosis to deployment. They are responsible for iterating on these tools to drive measurable improvements in company-wide KPIs.
Develop and deploy real-time conversational voice agents and fine-tune clinical AI models for a primary care platform. Build evaluation pipelines and simulation capabilities to ensure model safety and accuracy before production.
The role provides targeted pricing guidance and implements monetization strategies to achieve sales and revenue objectives. It involves developing forward-looking business cases, revenue models, and collaborating with cross-functional teams on pricing algorithms.
Own the end-to-end vision, roadmap, and delivery of the Azure product vertical to ensure parity with AWS offerings. Collaborate with engineering, marketing, and sales to translate customer needs into product requirements and successful market launches.
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![CI&T is hiring for remote [Job-30691] AI Orchestrator (Squad Leader), Brazil](/assets/96be70cc-b65f-449c-9299-d619efa70efb.png){kind=small}
Lead a multidisciplinary squad by orchestrating AI agents across the entire Software Development Life Cycle to ensure efficient delivery. Coordinate workflows, monitor AI output quality, and facilitate agile ceremonies to align human and AI collaboration.
Lead the design, implementation, and deployment of features for the UDS Registry to manage software packages in mission environments. Collaborate with open-source communities and internal teams to resolve product ambiguity and ensure technical quality.
The Lead AI Engineer will design and deploy production-grade agentic systems that execute real-world actions with human-in-the-loop controls. They will own the end-to-end agentic function, including architecture, retrieval engineering, and the growth of the technical team.
Design and implement technical pipelines for LLM post-training, evaluation, and model improvement. Collaborate with research scientists and clients to build robust infrastructure for reproducible experimentation and model assessment.
Act as a technical authority and trusted advisor to secure technical wins and expand Verkada's footprint within Fortune 500 companies in LATAM. Design physical security solutions, handle technical objections, and create technical documentation like white papers and knowledge base articles.
Design and validate high-quality datasets for training and evaluating financial-domain LLMs and AI agents. Translate complex financial goals into concrete dataset specifications, rubrics, and statistical evidence to support model risk management.
Develop fire protection and life safety design packages, including calculations and specifications, for industrial projects. Coordinate with multi-disciplinary teams to ensure code compliance and support project execution from design through commissioning.
The role involves designing and validating high-quality datasets and evaluation frameworks for healthcare-specific generative AI models. You will translate clinical goals into measurable specifications and ensure the clinical validity and safety of AI outputs across multimodal health data.
Lead technical discovery and design end-to-end post-training solutions, including SFT data curation and evaluation frameworks, for high-profile AI clients. Act as the primary technical advisor bridging the gap between customer goals and internal research and engineering teams.
The role focuses on orchestrating cross-functional value creation initiatives and driving the company's AI transformation agenda. Key duties include building KPI dashboards, tracking business impact, and supporting operating model transitions for senior leadership.
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Develop core product features using ETL and GraphQL to support data processing and retrieval. Design and implement backend APIs and maintain ETL pipelines to enhance product stability and user experience.
Lead the deployment and operation of product infrastructure across various federal AWS environments, including FedRAMP and classified workloads. Design and implement scalable, secure cloud-native platforms and automation tooling to improve developer efficiency and telemetry collection.
The role involves assisting in the design of overhead transmission lines, including plan and profile development and structure spotting. The engineer will perform technical calculations, utilize PLS-CADD software, and coordinate with internal multidisciplinary teams.
The Territory Manager is responsible for driving Spark Clear Aligner sales and acquiring new customers within a specific segment. This includes developing business plans, maintaining account relationships, and collaborating with internal teams for seamless customer onboarding.
Conduct assessments and audits of food manufacturing and supplier operations to ensure compliance with FDA and GMP requirements. Develop and improve Quality and Food Safety Management Systems while supporting clients during regulatory inspections and audits.
Own the frontend architecture and delivery of the Pulse platform across Microsoft Teams and Slack applications. Partner with design and product teams to build reusable component systems and define API contracts.
Lead the technical execution of the product roadmap by designing scalable cloud-native architectures and guiding engineering teams. The role involves mentoring engineers, enforcing high coding standards, and contributing production-ready code for critical components.
Contribute to the architecture and design of Elasticsearch's core security features, including authentication, authorization, and tenant isolation. Focus on optimizing security performance at scale and collaborating with InfoSec to remediate vulnerabilities using AI-driven tools.
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Contribute to the architecture and design of Elasticsearch's core security features, including authentication, authorization, and tenant isolation. Focus on optimizing security performance at scale and collaborating with InfoSec to manage vulnerabilities using AI-driven tools.
Lead the architecture and design of core security features for Elasticsearch, including authentication, authorization, and tenant isolation. Drive vulnerability management and optimize security performance within a distributed data store environment.
Lead the architecture and design of core security features for Elasticsearch, including authentication, authorization, and tenant isolation. Drive vulnerability management and mentor other engineers to foster a security-first development culture.
Lead new partner onboarding from kickoff to go-live while serving as the primary point of contact. Maintain and optimize the third-party onboarding platform's workflows, templates, and API integrations.
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