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JOB SUMMARY
This role will spearhead the design and architecture of our next-generation intelligent agent systems and solutions leveraging the power of generative AI. As a key technical architect you will be responsible for crafting the blueprint for autonomous adaptive AI agents capable of reasoning planning learning and acting within complex environments to achieve specific objectives. You will work closely with product managers AI engineers and business stakeholders to transform business requirements into robust scalable and ethical AI solutions. This position demands a profound understanding of generative AI models agentic frameworks software architecture principles and the ability to navigate the rapidly evolving landscape of artificial intelligence.
ESSENTIAL RESPONSIBILITIES
Defining the architectural vision and strategy for agentic AI solutions
Designing end-to-end architectures for agentic AI systems including generative AI model integration
Guiding the integration of agentic AI solutions with existing systems and defining integration standards
Establishing architectural patterns and best practices for building scalable and reliable agentic AI
Collaborating with engineering and product teams to ensure architectural alignment and provide guidance
Evaluating emerging AI and agentic technologies and their potential architectural impact
Overseeing the design and implementation of data pipelines and infrastructure required for agentic AI
Other duties as assigned or requested
EXPERIENCE REQUIRED
Extensive Software Solution Architecture experience designing developing testing and deploying robust and scalable software applications with a focus on AI/ML solutions
Experience in designing solutions leveraging large language models (LLMs) and generative AI
Experience with Architecting and designing AI agent systems or similar autonomous systems
Experience with Designing robust data architectures to support AI/ML workflows and agentic systems
SKILLS
Strong knowledge of large language models (LLMs) their capabilities limitations and application in agentic systems.
Strong understanding of agentic AI concepts including planning reasoning memory and action execution.
Strong understanding of software architecture principles design patterns and system integration methodologies.
Expertise in designing and building RESTful APIs and microservices for AI/ML integration.
Proficiency in one or more major programming languages (Python strongly preferred) and software development best practices.
Experience with prompt engineering and fine-tuning of large language models for specific tasks.
Familiarity with MLOps principles and tools for deploying monitoring and managing AI models and agentic systems in production.
Excellent communication and collaboration skills with the ability to articulate complex technical concepts to diverse audiences.
Strong problem-solving and analytical skills Leadership and influencing skills to guide technical direction.
Ability to think strategically and holistically about complex systems
EY Building a better working world
EY is building a better working world by creating new value for clients people society and the planet while building trust in capital markets.
Enabled by data AI and advanced technology EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance consulting tax strategy and transactions. Fueled by sector insights a globally connected multi-disciplinary network and diverse ecosystem partners EY teams can provide services in more than 150 countries and territories.
Required Experience:
Director
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