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The Senior Architect, Salesforce designs scalable and maintainable Salesforce solutions, working closely with clients to meet business requirements. Key responsibilities include participating in the sales cycle, leading development efforts, and ensuring effective communication among teams. The role requires expertise in Salesforce implementation and architecture design.
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The Senior Architect, Salesforce is responsible for designing scalable Salesforce solutions, working with clients to define functional and technical requirements, and leading full lifecycle development. They also troubleshoot implementation issues and establish client relationships as a trusted advisor.
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The Senior Architect, Salesforce designs and implements Salesforce solutions for clients, guides teams throughout the development lifecycle, leads client engagements, and resolves complex implementation issues, all while mentoring junior staff and contributing to project management and strategy.
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The Associate Design Director will lead design teams to create innovative consumer websites, applications, and branding for various industries. Responsibilities include mentoring junior designers, collaborating with other teams, and engaging in user-centric design activities to develop solutions that meet user needs.
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As an Associate Design Director, you'll lead design teams to create user-friendly websites and applications while mentoring junior designers. You'll manage design projects, synthesize research findings, and collaborate with technology specialists to deliver strategic design solutions.
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As a Customer Journey Analytics Engineer, you will configure Adobe CJA, manage data integration, develop dashboards, and collaborate with cross-functional teams to enhance customer experiences. The role focuses on delivering insights to improve business outcomes and optimizing customer journeys through analytics solutions.
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The role focuses on enhancing customer journey analytics using Adobe tools, creating global data schemas, and managing data views to support analytics initiatives. The engineer will facilitate the transition from Adobe Analytics to CJA, implement personalization strategies, and report on performance metrics.
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The Adobe Journey Optimizer Engineer will design and implement AJO solutions, manage data schemas and integrations, create personalized omni-channel strategies, and troubleshoot AEP/AJO technical issues, all while collaborating with cross-functional teams and documenting best practices.
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The role involves designing, implementing, and maintaining data workflows and customer data solutions within Adobe Experience Platform (AEP) and RTCDP. Responsibilities include data integration, real-time customer profile management, AEP administration, and ensuring data quality and compliance.
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The GenAI and LLM Architect will lead project teams to analyze large datasets, implement AI/ML solutions, and serve as a technical expert in client communications. Responsibilities include designing technical solutions, mentoring junior staff, and deploying enterprise-scale models across cloud and on-prem environments.
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The GenAI and LLM Architect will lead teams in a client-facing role, analyzing large datasets using machine learning and AI techniques. Responsibilities include modeling technical solutions, implementing AI/ML solutions, participating in design sessions, and mentoring junior team members. The ideal candidate will have hands-on experience with various AI/ML techniques and proficiency in multiple programming languages.
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The GenAI and LLM Architect leads projects in the Data capability group, focusing on AI/ML solutions. Responsibilities include architecture, analysis of large datasets, implementation of models, client communications, and mentoring junior staff, all while ensuring best practices in deployment.
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As the GenAI and LLM Architect, you will lead projects focusing on AI and machine learning solutions, analyze large datasets, and work with clients to derive insights. Responsibilities include architecting solutions, mentoring junior resources, and ensuring models are deployed effectively in production environments.
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The GenAI and LLM Architect will lead client-facing projects to analyze large data sets using AI and ML techniques. Responsibilities include data preparation, model implementation, and insights presentation. The role requires strong architecture skills for enterprise-grade AI/ML solutions, mentoring teams, and ensuring successful client engagements.
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As a Senior Architect for GenAI and LLM, you will lead project teams in analyzing large datasets, implementing AI and ML solutions, and architecting technical solutions to meet business requirements. You will also mentor junior team members and communicate effectively with clients, driving insights through various machine learning techniques and deploying models in production environments.
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The Senior Architect will lead projects in the analysis of large data sets, utilizing ML and AI techniques to derive insights. This role includes model development, deployment on enterprise scales, and mentorship of junior resources, while actively engaging with clients to provide tailored solutions.
AdTech • Information Technology • Marketing Tech • Consulting • Cybersecurity • Generative AI
The Senior Architect will lead project-based teams to analyze large datasets using ML and AI techniques, deploy enterprise scale models, and serve as a technical expert in client communication. Responsibilities include architecting solutions, coaching junior resources, and participating in design sessions.
AdTech • Information Technology • Marketing Tech • Consulting • Cybersecurity • Generative AI
The Senior GenAI and LLM Architect will lead project teams in analyzing large datasets using AI/ML techniques, architect technical solutions, and mentor junior resources. Responsibilities include designing models, deploying enterprise-scale solutions, and engaging with clients to meet business requirements.
AdTech • Information Technology • Marketing Tech • Consulting • Cybersecurity • Generative AI
As a Senior GenAI and LLM Architect, you will lead project-based teams in analyzing large datasets using AI and ML techniques. Your responsibilities include scoping and estimating work streams, architecting solutions, deploying enterprise-scale models, and leading junior team members.