Senior Manager - Agentic Ai Architect

Ernst & Young Global Ltd

Competitive compensation based on performance; dis...
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Designing and deploying agentic ai systems
Enterprise architecture for ai solutions
Cloud platforms and mlops expertise
** Ernst & Young Global Ltd is seeking a Senior Manager - Agentic AI Architect to lead the design and delivery of innovative AI solutions for clients across various industries. The ideal candidate will have extensive experience in AI/ML systems, strong leadership skills, and a background in consulting or professional services. **

Job Summary

  • This role leads complex client engagements at the intersection of AI engineering, enterprise architecture, and business transformation.
  • You will define AI governance, risk management, and responsible AI controls for autonomous and semi-autonomous systems.
  • The position offers a competitive compensation package including discretionary bonuses, comprehensive medical coverage, and flexible vacation policies.

Matching Summary

Match Score: 75

** Ernst & Young Global Ltd is seeking a Senior Manager - Agentic AI Architect to lead the design and delivery of innovative AI solutions for clients across various industries. The ideal candidate will have extensive experience in AI/ML systems, strong leadership skills, and a background in consulting or professional services. **

Salary

Competitive compensation based on performance; Discretionary bonus program included; Comprehensive benefits package with pension and vacation

Skills & Requirements

Must-have

  • Designing and deploying agentic AI systems
  • Enterprise architecture for AI solutions
  • Cloud platforms and MLOps expertise
  • LLM orchestration frameworks
  • AI governance and risk management

Nice-to-have

  • Consulting or professional services experience
  • Thought leadership in generative AI
  • Executive stakeholder management skills
  • Passion for trusted data ecosystems

Key Requirements

  • 8–12+ years of relevant technology or AI program experience
  • Degree in Computer Science, Engineering, Data Science or related field
  • Leadership experience managing cross-functional teams

Work Rights

Not specified

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