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The Data & AI Product Manager will define the product vision, roadmap, and requirements while managing the backlog to deliver measurable business value. They will lead an engineering pod, facilitate agile ceremonies, and collaborate with stakeholders to ensure successful product adoption and governance.
The Senior AI & Automation Engineer will architect and deploy production-grade AI and machine learning systems to improve clinical and operational performance. This role involves leading complex automation initiatives, mentoring junior engineers, and ensuring the scalability and reliability of AI infrastructure within a regulated healthcare environment.
Interns will work on scaling AI models to identify chronic conditions and enhance predictive accuracy using NLP and machine learning. They will also support strategic projects, collaborate with mentors, and deliver a final presentation at the end of the internship.
You will own the operational backbone of a vision AI data program, managing the lifecycle from hypothesis to production-ready outcomes. This involves orchestrating cross-functional teams, managing hardware and annotation vendors, and ensuring data quality and governance standards are met.
The Principal AI Solutions Architect will serve as a strategic bridge between customer goals and AI transformation by designing and operationalizing Genesys AI solutions. They will lead value discovery, define reference architectures, and mentor teams to ensure successful AI adoption and continuous performance improvement.
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Design, build, and operate scalable services for marketplace workflows while embedding AI-driven capabilities into features like pricing and automation. Partner with cross-functional teams to translate business needs into durable, scalable technical solutions while maintaining system reliability.
The Senior Director Analyst will create innovative, must-have insights and market predictions to guide software engineering leaders on AI strategy and value realization. They will act as a trusted advisor to clients through virtual and in-person interactions, while supporting sales and research teams with expert market analysis.
The Principal Consultant will define and deploy innovative building design and management strategies to help Autodesk customers leverage digital processes and AI. They will lead transformational change, facilitate customer workshops, and ensure high-quality delivery of consulting services.
The Acquisition Sales Specialist is responsible for prospecting and selling AI-driven legal solutions to new small law firm customers to meet or exceed sales quotas. This role involves managing the full sales cycle, from outbound calls and lead generation to delivering accurate sales forecasts and maintaining client relationships within the CRM.
The Senior Product Manager will define the strategic direction and roadmap for AI-assisted experiences on the Flow platform. They will act as a connector between engineering, stakeholders, and customers to drive product adoption and deliver measurable impact.
The Applied AI Lead will build and deploy AI solutions to optimize maintenance, service workflows, and operational performance. They are responsible for training field teams and driving the adoption of agentic AI tools across the organization.
The Applied AI Lead will build and deploy AI solutions across the engineering and construction project lifecycle, including estimating, design, and field execution. They are responsible for training project teams on these tools and driving adoption through hands-on support and pilot programs.
The role involves a 50/50 split between developing AI-driven features using Python on GCP and maintaining core platform services with Java and Spring Boot. You will be responsible for shipping LLM-backed products to production and driving AI-assisted development practices across the team.
The role involves deploying, managing, and validating large-scale AI Compute and HPC infrastructure in Linux environments for enterprise customers. You will act as a technical liaison between NVIDIA, partners, and customers to ensure successful system implementation and optimization.
Lead the Data Strategy capability within the North American Data & Analytics practice, overseeing client delivery, financial performance, and team mentorship. Provide executive oversight for complex engagements while driving business development and maintaining strategic client relationships.
The Director will lead the engineering strategy and development of an agentic AI operating system to enable intelligent workflows and scalable AI products. They will oversee cross-functional teams to establish engineering standards, modernize systems, and ensure the delivery of resilient AI services that provide measurable business value.
Lead the rapid design, development, and validation of agentic AI proof-of-concepts to demonstrate enterprise value. Partner with cross-functional teams to transition successful prototypes into production roadmaps and establish repeatable experimentation methodologies.
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The Regional AI Business Lead will drive high-value, campaign-driven sales cycles by partnering with internal teams to position AI storage solutions. They will build trust-based relationships with C-suite executives and develop financial ROI frameworks to justify large-scale infrastructure investments.
You will own the end-to-end product lifecycle for an AI-native business intelligence platform, from discovery and prototyping to launch and adoption. You will collaborate with engineering and design to build evaluation frameworks and ensure the product delivers safe, trustworthy, and high-quality AI outputs.
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.
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.
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.
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.
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.
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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.
You will design and execute the end-to-end onboarding process for new customers, transforming their existing workflows into the platform. Additionally, you will leverage AI to automate onboarding and support operations to ensure the process scales efficiently.
Design and maintain semantic context layers including knowledge graphs and ontologies to inform AI agent behavior. Develop full-stack features and integrate RPA agents to enable context-aware automation and real-time data visibility.
Design, develop, and maintain full-stack applications using Java 21 and React while ensuring scalability and code quality. Collaborate with multidisciplinary teams using Agile/SAFe methodologies to deliver innovative technological solutions.
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