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PwC

Senior Manager – Cloud Engineering, Data & Analytics – Azure AI-Native Full Stack

PwC

AI-Native Full Stack Senior Engineering Manager at PwC leading modernization and transformation of cloud applications. Driving innovation in AI architectures and mentoring teams for exceptional outcomes.

Posted 7/18/2026full-timeGuadalajara • 🇲🇽 MexicoSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading the design and execution of advanced Generative and Agentic AI solutions, with a strong focus on aligning technology initiatives with digital transformation objectives. Proven ability to mentor multidisciplinary teams and drive operational productivity through innovative AI architectures.

Highest-signal resume keywords
Generative AI SolutionsAgentic AI SolutionsAI Solution ArchitectureCloud-Based AI SolutionsEnterprise Architecture

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Artificial IntelligenceMachine LearningFull-Stack TechnologiesAI ArchitecturesDigital Transformation
Soft Skills
MentoringCollaborationStrategic Advising
Tools & Technologies
Azure AI Solutions ArchitectAWS Certified Solutions Architect
Certifications & Qualifications
AI Solution Architecture CertificationCloud-Based AI Solutions Certification
Industry Keywords
Operational ProductivityTechnology SolutionsStakeholder Engagement

Tech Stack

Tools & technologies
AWSAzureCloud

About the role

Key responsibilities & impact
  • Lead the design and execution of advanced Generative and Agentic AI solutions
  • Serve as a strategic advisor to confirm alignment with digital transformation objectives
  • Mentor and guide multidisciplinary teams to achieve exceptional outcomes
  • Innovate and implement end-to-end technology solutions in AI architectures
  • Collaborate with stakeholders to identify and address intricate challenges
  • Drive initiatives that enhance operational productivity and effectiveness

Requirements

What you’ll need
  • Bachelor's Degree
  • 15 years of AI, ML, enterprise architecture, and full-stack technologies experience
  • Certifications in AI solution architecture or cloud-based AI solutions (e.g., Azure AI Solutions Architect, AWS Certified Solutions Architect)
  • Oral and written proficiency in English

Benefits

Comp & perks
  • Dynamic and digitally enabled training
  • Engaging in challenging projects
  • Distinctive services for clients
  • Culture of continuous improvement and innovation