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Are you ready to make an impact? West Monroe is seeking an experienced GCP Platform Lead with a strong background in Agentic AI, Software Engineering, and Google Cloud Platform (GCP) services to drive the design, delivery, and management of scalable, AI-enabled platforms in New York City. This role will oversee end-to-end platform engineering, lead the CREATe process (Collaborative Requirements Engineering and Agile Testing), and ensure seamless coordination with stakeholders to ensure timely and high-quality progress of deliverables.   Key Responsibilities Platform Design & Delivery · Lead the architecture, design, and implementation of scalable, secure, and reliable platforms on Google Cloud Platform (GCP) to support AI-driven applications. · Partner with existing teams focused on the data platform and foundation layer to ensure integration patterns and scalable architecture decisions. · Drive the integration of Agentic AI technologies into platform solutions to enable adaptive, autonomous, and intelligent systems. · Collaborate with engineering teams to ensure adherence to best practices in software development, DevOps, and cloud-native design. · Develop and maintain platform roadmaps, ensuring alignment with business objectives and emerging technologies. CREATe Process Management · Oversee the Collaborative Requirements Engineering and Agile Testing (CREATe) process to ensure effective and efficient requirements gathering, testing, and delivery. · Facilitate cross-functional workshops to define platform requirements and align on delivery priorities. · Establish clear processes for iterative development, testing, and feedback to ensure quality outcomes. Stakeholder Coordination & Delivery Oversight · Act as the primary liaison between technical teams, business stakeholders, and leadership to align on priorities and expectations. · Lead project planning and delivery timelines, ensuring milestones are met and blockers are addressed promptly. · Provide regular updates to stakeholders on progress, risks, and mitigation strategies. · Foster collaboration across teams, ensuring alignment on goals and deliverables. Technical Leadership & Innovation · Stay up-to-date with advancements in Agentic AI, GCP services, and software engineering practices to drive innovation. · Mentor and guide engineering teams on best practices in AI, cloud architecture, and software development. · Promote a culture of continuous improvement, leveraging feedback to optimize platform performance and delivery processes. Qualifications Technical Expertise · Google Cloud Platform (GCP): Strong experience with core GCP services (e.g., Compute Engine, BigQuery, Cloud Functions, AI/ML APIs, Kubernetes Engine) · Google Cloud Platform (GCP): Strong experience with IAM, security & compliance services (e.g., cloud armor) as it relates to landing zone patterns & scaling projects & services. · Agentic AI: Deep understanding of AI systems with autonomous and adaptive capabilities, including their design, training, and deployment. · Software Engineering: Proficiency in modern programming languages (e.g., Python, Java, Go) and frameworks for scalable application development. · DevOps & CI/CD: Experience with DevOps practices, CI/CD pipelines, and infrastructure as code (e.g., Terraform, Cloud Build). · Data Engineering: Familiarity with data pipelines, ETL processes, and real-time data streaming on GCP. Leadership & Delivery · Proven experience in leading platform design and delivery for enterprise-scale systems. · Strong understanding of Agile methodologies and experience managing iterative delivery processes. · Exceptional communication and stakeholder management skills, with the ability to translate technical concepts into business value. · Experience managing cross-functional teams and ensuring alignment across