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The AI Operations Engineer will drive the adoption of agentic AI platforms by partnering with internal departments to implement high-impact use cases and optimize operational velocity. They are responsible for establishing AI financial observability, managing vendor risk, and building repeatable IT workflows to ensure secure and efficient AI integration.
Review and redline commercial contracts on a legal AI platform using track changes and detailed commentary. Calibrate evaluations against golden references and participate in team communications via Slack.
Lead the implementation and optimization of ServiceNow AI capabilities, including generative AI workflows and intelligent automation. Design and configure scalable ServiceNow solutions that align with federal security requirements and support business operations.
The role involves designing and optimizing large-scale AI infrastructure while collaborating with customers to maximize GPU utilization and workload throughput. You will also profile distributed training and inference workloads to identify bottlenecks and lead technical engagements for high-performance AI systems.
The architect will design and deliver AI, advanced analytics, and data architecture solutions to improve manufacturing performance and decision-making. They will collaborate with cross-functional teams to translate operational challenges into scalable, secure technical requirements and implementation plans.
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Lead a multidisciplinary team to establish quality standards, evaluation frameworks, and governance for AI products at scale. Partner with cross-functional teams to ensure AI systems are reliable, measurable, and compliant with enterprise standards.
The AI Architect designs and delivers production-ready AI solutions while managing a team of AI engineers to align technical initiatives with business objectives. They oversee the full lifecycle of machine learning models, ensuring scalability, governance, and compliance with data privacy standards.
The AI Engineer will develop and operationalize AI and analytics solutions, including predictive models and reporting assets, to support healthcare decision-making. They will also manage vendor relationships, lead testing initiatives, and collaborate with end-users to define business requirements and optimize workflows.
The AI Solutions Architect leads customer-facing workshops to design and architect agentic solutions for core manufacturing processes. They own the end-to-end deployment, collaborating with offshore engineering teams to build, integrate, and launch production-ready AI systems.
You will define the product strategy and roadmap for a new AI and agent platform, overseeing the lifecycle from conception to delivery. You will collaborate with engineering, design, and go-to-market teams to build secure, scalable infrastructure for agentic workflows.
The AI Engineer will lead the design, development, and implementation of AI, Generative AI, and machine learning solutions to support the U.S. Department of Veterans Affairs. They will collaborate with cross-functional teams to build AI-powered applications, including AI agents and RAG solutions, while ensuring compliance with Trustworthy AI principles.
The role involves defining and advancing AI-first software development practices for a cloud-native SaaS product on Microsoft Azure. You will contribute to the codebase while designing reusable prompts, agent instructions, and workflows to improve development speed and code quality.
Develop and optimize AI solutions using LLMs and generative models to impact educational products. Collaborate with product, engineering, and pedagogical teams to translate business needs into technical implementations.
The Senior AI Engineer will lead the development of high-impact AI solutions using LLMs and generative models to enhance educational products. They will act as a technical reference for the team, overseeing architectural choices and optimizing AI development pipelines.
Participants will use a Google Pixel device to interact with mobile applications and sort notifications daily. They are also required to submit short daily feedback forms throughout the project duration.
Participants will use a Google Pixel device as their primary phone to interact with apps and generate notifications. They are responsible for completing daily notification sorting workflows and submitting feedback forms.
You will own the end-to-end development of AI-enabled solutions on the ServiceNow platform, including Now Assist skills and agentic workflows. You will also lead AI enablement across product suites, mentor junior developers, and translate complex business requirements into governed AI capabilities.
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Lead project teams in architecting and deploying AI-powered solutions on the ServiceNow platform, including Now Assist and agentic workflows. Drive complex programs across multiple ServiceNow modules while providing thought leadership and mentoring to project teams.
You will own the end-to-end front-end experience for an enterprise-scale Agentic AI platform, designing intuitive interfaces that translate complex AI reasoning into trustworthy experiences. You will collaborate with AI engineers and product teams to build responsive, real-time interfaces that support mission-critical healthcare modernization.
The Senior Product Manager will define and execute the strategy for AI, machine learning, and business intelligence initiatives to drive organizational decision-making. They will act as a bridge between business and technical teams to manage product roadmaps, API platforms, and data-driven service offerings.
You will design and implement security controls for autonomous AI systems, including RAG pipelines and agent orchestration. Additionally, you will perform threat modeling and build observability mechanisms to ensure AI systems remain secure, explainable, and compliant with federal standards.
The Senior Applied AI Engineer will design, prototype, and implement production-ready AI capabilities to improve reasoning, accuracy, and developer productivity. They will also optimize autonomous agent workflows and retrieval-augmented generation pipelines while collaborating with cross-functional teams to enhance platform intelligence.
The Senior Application Developer will build and maintain intelligent, voice-enabled applications for frontline workers using Cerence SDK and embedded AI technologies. Responsibilities include integrating middleware, deploying on-device Small Language Models, and connecting applications with enterprise industrial data services.
The Senior Application Developer will build and maintain intelligent, voice-enabled applications for frontline workers using Cerence SDKs and embedded AI technologies. Responsibilities include integrating middleware for speech interfaces and connecting applications with enterprise industrial systems like MES and ERP.
Design and develop autonomous multi-agent AI systems and orchestration pipelines to modernize mission-critical legacy software. Build scalable backend services and retrieval-augmented generation (RAG) systems that ensure explainable, evidence-based AI responses.
The Senior Technical Solution Architect will lead the design and architecture of next-generation Industrial AI solutions integrating voice, AI, and digital twin technologies. This role involves bridging frontline worker processes with enterprise systems and operational technology environments to drive smart manufacturing innovation.
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Design and build secure identity architectures for autonomous AI agents and enterprise platforms. Implement authentication, authorization, and credential management frameworks to ensure safe AI operations within federal environments.
You will facilitate executive distillation sessions to translate strategic goals and operational processes into actionable AI context packs. Additionally, you will interpret process-mining data to design optimization reports and build prototypes for AI agent skills.
The role serves as the primary point of contact for company-wide technology issues, providing troubleshooting and resolution for hardware and software. Additionally, it involves supporting enterprise AI tools by managing access, accounts, and assisting employees with common inquiries.
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