Forward Deployed Engineer - Applied AI - Senior Manager - Financial Services - Consulting

Location:

Charlotte, Dallas, New York, Tampa

At EY, we're all in to shape your future with confidence.

We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.  Join EY and help to build a better working world.

At EY, we're all in to shape your future with confidence.

We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.​

Join EY and help to build a better working world.

** Forward Deployed Engineer - Applied AI - Senior Manager - Financial Services*
* EY is the only professional services firm with a separate business unit ("FSO") that is dedicated to the financial services marketplace. Our FSO teams have been at the forefront of every event that has reshaped and redefined the financial services industry.  If you have a passion for rallying together to solve the most complex challenges in the financial services industry, come join our dynamic FSO team!

The business problems our clients are facing today are not the same problems they have faced in the past. The rapid pace of development in Artificial Intelligence and the technology that enables it has created an urgent need to innovate and adapt to the new global business paradigm. Financial institutions are looking to build smarter and more efficient ways to operate their business, create new revenue streams, and better manage risk, through new opportunities uncovered by their data.

We believe that to fully unlock the potential of Artificial Intelligence, we need to look not only at its application, but also at the strategy level for how best to transform the enterprise into one that is technology and data focused and ready for the new age. Our clients' problems are becoming increasingly complex while at the same time the need to automate and streamline is rising.

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* The Opportunity:

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* Leads the definition and delivery of AI system design principles, reference architectures, and engineering standards for highly complex AI/ML initiatives across the organization. Brings deep technical authority, exceptional hands-on engineering experience, and the ability to shape long-term technology direction while also leading complex project and program outcomes. Takes accountability for the architecture, technical quality, integration approach, delivery execution, and operational excellence of AI-enabled solutions and platforms.

Ensures business and user requirements are translated into scalable, secure, reusable, and high-impact technical designs that can be adopted across multiple teams and domains.

** Your

Key Responsibilities:

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* + Define and govern system design principles, reference architectures, and engineering patterns for AI/ML, generative AI, RAG, and agentic systems.

+ Lead the most complex and escalated technical challenges across multiple teams, providing hands-on guidance in architecture, coding, troubleshooting, and design remediation.

+ Own end-to-end architecture for strategic AI initiatives, including service boundaries, orchestration models, data contracts, evaluation frameworks, and operational guardrails.

+ Drive consistency in engineering standards, design reviews, architecture governance, observability, resilience, security, and responsible AI practices.

+ Shape the enterprise integration model for AI/ML components within broader product, platform, infrastructure, and client delivery ecosystems.

+ Define and evolve API and integration strategies for AI platforms and applications, including contract design, versioning, security, idempotency, and reliability patterns at enterprise scale.

+ Ensure API layers and application integration patterns decouple clients from internal AI service topology, enabling safe evolution of models, workflows, and data stores without breaking consumers.

+ Lead large, complex project or program delivery outcomes by aligning architecture decisions, engineering execution, stakeholder governance, risks, dependencies, and delivery quality.

+ Influence platform strategy, technical roadmaps, and investment decisions through deep engineering judgment and practical delivery insight.

+ Partner with…