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

Location:

Charlotte, Dallas, New York, Tampa

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

EY is the only professional services firm with a separate business unit ("FSO") 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!

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.

• 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 senior leaders across Engineering, Architecture, Product, Data, Security, Operations, and engagement leadership to align strategy with execution.
• Establish scalable approaches for model evaluation, benchmarking, experimentation, rollout controls, and production quality measurement.
• Mentor senior engineers and technical leads, raising the organization’s bar for system design, technical depth, delivery rigor, and architectural decision‑making.
• Use modern AI‑assisted software engineering tools such as Claude Code, Codex, or equivalent agentic coding platforms to accelerate engineering design, implementation, and review practices.
• Identify opportunities to reduce duplication, accelerate delivery, and create reusable AI platform capabilities across the enterprise.

• Ability to translate complex enterprise business challenges into strategic AI architecture decisions, balancing immediate delivery needs with long‑term platform scalability and firm‑wide adoption.
• Deep knowledge of foundation model landscape including open‑source and commercial models, with the ability to evaluate, select, and advise on model suitability, capability trade‑offs, and total cost of ownership across diverse enterprise use cases (e.g. GPT‑4o, Claude, Llama, Gemini, Mistral).
• Demonstrated experience architecting and overseeing enterprise‑scale knowledge AI systems…