Azure AI Leader
Lead the end-to-end architecture, design, and delivery of enterprise-grade Generative and Agentic AI solutions. Provide hands-on technical leadership in building AI applications, agentic workflows, and RAG-based systems.
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Lead the end-to-end architecture, design, and delivery of enterprise-grade Generative and Agentic AI solutions. Provide hands-on technical leadership in building AI applications, agentic workflows, and RAG-based systems.
Act as the primary liaison between business stakeholders, Data Scientists, and Data Engineers to ensure technical builds align with strategic business goals. Lead the gathering and validation of complex requirements for data-driven applications, analytics dashboards, and AI/ML model deployment.
Define and lead the enterprise AI solution architecture strategy to translate complex business needs into scalable AI products and platforms. Partner with cross-functional stakeholders to scope large-scale AI initiatives and ensure solutions are secure, governed, and production-ready.
The Data & AI Strategist will develop comprehensive data strategies, establish governance frameworks, and foster data-oriented cultures within client organizations. They will also oversee the execution of strategic plans and support the creation of tailored data solutions, including Data Platforms and AI models.
The Data & AI Strategist will develop comprehensive data strategies, establish governance frameworks, and foster data-oriented cultures within client organizations. They will also oversee the execution of data projects, manage client relationships, and support the creation of tailored data solutions including AI models and platforms.
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Design and develop Generative AI solutions using Amazon Bedrock and AWS cloud services to transition initiatives from experimentation to production. Collaborate with multidisciplinary teams to build scalable, secure, and maintainable enterprise AI architectures.
You will contribute to MetaMask's social expansion and multi-chain user experiences across web and mobile platforms. Additionally, you will coordinate with experience teams to complete complex projects and mentor junior team members.
Design and build AI-powered applications and agentic workflows that integrate with external tools and business systems. Collaborate with cross-functional teams to optimize AI performance, reliability, and scalability in production environments.
The Senior Director will lead the enterprise AI transformation roadmap by identifying and prioritizing high-value AI opportunities across all business functions. They will also establish an AI Center of Excellence and governance frameworks to ensure responsible and scalable AI adoption.
The Senior Director will lead the enterprise AI transformation roadmap by identifying and prioritizing high-value AI opportunities across all business functions. They will also establish an AI Center of Excellence and governance frameworks to ensure responsible and scalable AI adoption.
Participants are responsible for downloading and uploading genuine financial records from their own accounts to help train AI models. The task involves providing data from specific categories and validating files through the Peak Talent platform.
Participants are responsible for downloading and uploading genuine financial records from their own accounts to help train AI models. They must ensure data is recent, redacted, and covers a 12-month period while following specific platform guidelines.
Participants will download and upload genuine financial records from their own accounts to help train AI models. The task involves providing data from multiple financial apps and documents while ensuring all files are properly redacted and validated.
Participants are responsible for downloading and uploading genuine financial records from their own accounts to help train AI models. They must validate these files through the Peak Talent platform while ensuring all data is redacted and recent.
Participants will download and upload genuine financial records from their own accounts to help train AI models. The task involves providing data from multiple categories and validating files through the Peak Talent platform.
Participants will download and upload genuine financial records from their own accounts to help train AI models. The task involves validating files through the Peak Talent platform while following specific data privacy and submission guidelines.
The Business Analyst will define business needs, lead discovery sessions, and translate requirements into clear software specifications. They will also contribute to AI-driven prototyping and collaborate with cross-functional teams to manage backlogs and project quality.
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You will lead a team of instructors in the AI and Data Science department, overseeing course production and content development. Additionally, you will analyze market trends and student feedback to ensure the portfolio remains technologically current and educationally effective.
You will lead a team of instructors in the AI and Data Science department, overseeing course production and content development. Additionally, you will ensure the high quality of educational offerings by analyzing market trends and student feedback to optimize the curriculum.
You will design and deliver machine learning models on real-world patient health data to support Medical Affairs studies and product development. You will also build and maintain automated scoring pipelines while partnering with cross-functional teams to ensure actionable clinical insights.
Design and implement complex legal workflows to test and evaluate state-of-the-art AI models. Collaborate with frontier engineering and research teams to refine AI performance on real-world legal tasks.
Develop advanced feature-extraction and data-processing solutions for 3D CAD and machine learning systems. Design and own cloud services, APIs, and automated model training pipelines from proof of concept to production.
The Legal Advisor will conduct regulatory research, perform legal growth audits, and draft commercial agreements for clients navigating EU AI and data regulations. They will also support clients in scaling across European markets and build internal governance frameworks.
You will lead and develop a high-performing team of AI Success Managers to drive adoption, retention, and measurable business outcomes for enterprise customers. This role involves building an operational rhythm, coaching the team on product expertise, and partnering cross-functionally to ensure long-term customer value.
This role serves as the senior technical authority responsible for shaping and delivering production-grade Generative and Agentic AI systems for enterprise clients. You will lead the technical vision, manage executive relationships, and establish architectural standards to ensure measurable ROI and successful outcomes.
Develop and maintain Python-based applications while designing and optimizing Generative AI solutions for business use cases. Collaborate with cross-functional stakeholders to gather requirements and ensure the successful implementation of scalable AI models.
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Design, build, and scale intelligent applications, backend services, and agentic workflows that integrate with external tools. Collaborate with cross-functional teams to optimize AI performance, reliability, and safety in production environments.
Design and develop AI services using Python, implementing agents and workflows with orchestration frameworks. Ensure high-quality, structured outputs and maintain audit-ready prompts while collaborating with business areas to validate results.
You will design and build internal automation and AI-enabled solutions to improve operational workflows across the organization. Additionally, you will maintain these integrations and collaborate with cross-functional teams to ensure solutions are secure and compliant with healthcare regulations.
The Senior Product Owner will lead AI innovation and product strategy, overseeing the development and implementation of AI features across learning platforms. They are responsible for managing technology partners, defining roadmaps, and ensuring the successful market launch of platform builds through cross-functional collaboration.
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