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You will lead and develop an engineering team to build a connected intelligence system for AI-powered products. This involves translating product intent into engineering plans and establishing robust evaluation and observability frameworks.
You will own the AI strategy, systems integration, and data architecture to support business operations and product analytics. You will also manage data pipelines, reporting, and internal AI enablement to drive efficiency across the company.
The AI Automation Analyst will design, build, and operate AI-driven workflows to automate routine service-delivery tasks. They will collaborate with product and engineering teams to identify manual processes and implement scalable automation solutions.
Manage full-cycle recruitment for R&D and AI-focused roles, including sourcing, screening, and partnering with hiring managers. Develop and execute multi-channel sourcing strategies to build a high-quality technical pipeline while maintaining data-backed hiring processes.
You will define the technical vision and build shared AI platform services to enable product teams to deliver intelligent features efficiently. This role involves establishing standards for production AI systems, including observability, evaluation, and governance, while driving architectural direction across the organization.
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The Account Executive will own the full sales cycle for the Agentic AI product line, from initial discovery to closing deals. They will also collaborate cross-functionally to shape the sales playbook and messaging for this new product motion.
You will own the AI foundation, including model selection, routing, and evaluation infrastructure to support agentic financial planning workflows. You will also ship end-to-end agentic features and build observability tools to profile and optimize system performance.
Partner with business immigration attorneys to manage high-volume corporate immigration cases, including PERM and H-1B filings. Serve as a primary point of contact for corporate HR and foreign-national employees while ensuring compliance with USCIS and DOL regulations.
Lead end-to-end AI and data strategy engagements, including problem definition, roadmap design, and the development of operating models. Manage executive-level stakeholder relationships while bridging the gap between business needs and technical execution to drive measurable outcomes.
The AI Engagement Manager will lead the delivery of Generative AI transformation initiatives by coordinating between AI engineers and client teams. They are responsible for managing agile ceremonies, maintaining project documentation, and driving the adoption of AI-enabled workflows to achieve measurable business outcomes.
You will own the end-to-end architecture and implementation of the AI assistant layer, including context augmentation pipelines and agentic systems. You are responsible for ensuring privacy, security, and performance optimization while mentoring team members and defining technical standards.
Design and implement agent-based AI workflows across domains like healthcare, finance, and manufacturing. Develop and deploy LLM-powered systems, integrate with enterprise data streams, and optimize AI performance in Azure.
You will design and build intuitive, high-performance front-end interfaces for generative and agentic AI products. This involves collaborating with cross-functional teams to translate complex AI reasoning into seamless human-AI interactions.
Design and build backend services that integrate LLMs and machine learning models into production-grade clinical AI products. Collaborate with data scientists to transition experimental models into reliable, scalable, and observable production systems.
The AI Governance Analyst supports the maintenance of the AI Governance Framework and coordinates AI risk assessments across the organization. They are responsible for preparing governance reports, tracking committee action items, and monitoring emerging AI laws and industry regulations.
You will own the UX definition for a specific product area, translating user goals into interface elements and behaviors. Additionally, you will build deep expertise in user workflows and contribute to the company's broader design language and AI-native patterns.
The analyst will build and prototype data products, analytics, and AI-driven workflows to solve supply chain and procurement challenges. They will partner with the VP of Customer Success to identify high-impact opportunities and validate them through lean, functional prototypes.
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Deploy and operationalize agentic AI workflows and AI-powered automations within client ServiceNow and enterprise environments. Collaborate with cross-functional teams to translate business requirements into scalable, production-ready AI solutions.
You will own the end-to-end architecture, deployment, and business outcomes of AI systems within the product. This involves designing machine learning models, managing production operations, and partnering with engineering squads to deliver high-impact AI solutions.
The Lead AI Engineer is responsible for architecting and building internal AI systems while driving organization-wide adoption through training and community building. This role acts as the primary technical lead, managing AI engineers and partnering with stakeholders to deliver production-ready AI solutions.
The Research Vice President will define and lead a global research agenda focused on AI security, trust, and governance. They will engage with senior industry executives and stakeholders to provide market insights, forecasts, and strategic advisory content.
Develop and execute territory plans to drive revenue while collaborating with account executives to cross-sell Securiti AI solutions. Manage the full sales cycle, maintain accurate pipeline forecasts, and expand relationships with key channel partners.
The Staff Enterprise Security Engineer will lead the technical strategy and engineering execution for securing the company's AI ecosystem. They are responsible for designing secure reference architectures, establishing AI vetting frameworks, and building preventative guardrails to mitigate AI-related risks.
The AI Advisor provides strategic counsel to client leadership on emerging AI technologies and integrates these capabilities into Department operations. This role involves leading technical implementation, managing stakeholder relationships, and developing AI-driven insights to support mission-critical decision-making.
You will build and maintain the retrieval and knowledge layer for AI systems supporting rare disease research, including modeling biomedical knowledge and tuning search performance. Additionally, you will develop user interfaces, manage deployment pipelines on Kubernetes, and evaluate system performance to ensure clinical relevance.
You will own the roadmap for AI-powered product areas, translating ambiguous business problems into clear requirements and success metrics. You will collaborate with engineering and data science teams to ship production-ready AI features while managing tradeoffs between quality, cost, and user experience.
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You will own the semantic data layer and retrieval pipelines to ensure the accuracy and reliability of the AI platform. You will also act as the primary technical liaison between product engineering and the data team to translate business requirements into actionable data structures.
The role involves managing core accounting functions such as month-end close, reconciliations, and investment accounting while ensuring regulatory compliance. Additionally, the accountant will identify and automate manual processes using AI tools and train team members on these new workflows.
Provide technical support and guidance for ClickHouse and Langfuse users across various channels while maintaining service level agreements. Collaborate with engineering and product teams to resolve issues, develop documentation, and contribute to the overall improvement of support processes.
The intern will develop and deploy predictive AI models and Generative AI solutions to support various business functions including R&D, Finance, and Manufacturing. They will also collaborate on full-stack development and build user interfaces to facilitate data-driven decision-making.
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