Forward Deployed AI Engineer - Director

EY•Tampa, FL

1d•$192,900 - $433,900•Hybrid

About The Position

As a Director in EY’s Forward Deployed Engineering team, you will lead the design, development, and deployment of AI-driven, data-centric solutions within strategic client environments. This role requires a strong combination of advanced technical expertise, executive leadership, and solution architecture to drive measurable business impact through collaboration with senior stakeholders and multidisciplinary teams.

Requirements

10+ years in software engineering, data engineering, or AI/ML solution delivery
Demonstrated success delivering scalable, production-grade AI/ML solutions in client-facing roles
Expertise in machine learning, generative AI, NLP, computer vision, data platforms, and big data technologies
Experience with cloud-native development, microservices, container orchestration (Kubernetes, Docker)
Proficiency with cloud platforms: Azure, AWS, GCP
Strong DevOps skills including CI/CD, Infrastructure as Code (Terraform, Ansible), monitoring, and logging
Experience with agentic architectures, multi-agent orchestration, or cognitive harness patterns
Familiarity with knowledge graphs, semantic layers, or vector databases
Consulting or pre-sales engineering background with enterprise clients
Proven leadership of complex technical engagements and multidisciplinary teams
Proven ability to operate in ambiguous, fast-paced client settings
Strong balance of hands-on AI/ML engineering and strategic solution leadership
Exceptional stakeholder management, communication, and technical influencing skills
Commercial acumen focused on value realization and measurable outcomes
Deep passion for AI, cloud-native architectures, and emerging technologies

Nice To Haves

Knowledge of MLOps, LLMOps, AI governance, ethical AI frameworks, and model interpretability tools
Industry-specific expertise (financial services, healthcare, energy)
Track record of contributing to sales, pursuits, or account growth initiatives

Responsibilities

Act as a trusted technical advisor to C-suite and senior client stakeholders, shaping AI and data strategy.
Lead full lifecycle solution development—from problem definition, architecture design, prototyping, deployment, to scaling and adoption.
Align client technology roadmaps with business objectives and emerging AI trends.
Architect and build AI and LLM-powered applications leveraging Retrieval-Augmented Generation (RAG), autonomous agents, and orchestration frameworks.
Demonstrate proficiency in Python and agent frameworks such as LangChain, LlamaIndex, or AutoGen.
Rapidly develop functional prototypes and production-ready demos within tight timelines.
Identify and drive technical expansion opportunities to accelerate account growth.
Support proposal development, technical demos, and client pursuits by translating complex AI/ML capabilities into clear business value propositions.
Communicate effectively with both technical and non-technical stakeholders in dynamic environments.
Lead and mentor cross-functional pods comprising software engineers, data scientists, data engineers, product managers, and domain experts.
Foster a culture of innovation, agility, and continuous improvement.
Contribute to the evolution of EY’s Forward Deployed Engineering frameworks, best practices, and technical capabilities.