Service Delivery Center, AI&D, AI Engineer - Manager - Tampa

EY•Tampa, FL

55d•$76,200 - $197,900•Hybrid

About The Position

This role leads the design, development, and testing of advanced AI agents and multi-agent systems, ensuring scalability, security, and observability in production-grade LLM and RAG solutions. It requires expertise in agentic frameworks, prompt engineering, evaluation pipelines, and safety testing, with hands-on experience in Google-ADK, LangChain/LangGraph, and vector databases. Candidates must have a bachelor’s or master’s degree, 10+ years of software engineering experience, and strong leadership skills in delivering AI/ML projects. 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. 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. This practice also has several Service Delivery Centers that are made up of high-performing US-based resources who work closely with our experienced client-serving professionals to deliver project-based work and managed services to our US-based Financial Services clients. 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! Data has yet to be utilized to its fullest potential. Financial institutions are looking to build smarter and more efficient ways to operate their business, through new opportunities uncovered by their data. You’ll be solving complex problems, as well as giving deliverables to our clients in the AI and data space. With support from a highly talented team, you’ll have tremendous growth opportunities, with a focus on continuous learning and skills development to become a leader that can make significant contributions to companies.

Requirements

Bachelor’s or master’s degree in computer science, Engineering, Mathematics, or a related field.
6+ years of experience in software engineering, with at least 5 years focused on AI/ML solution development.
Proven track record of delivering AI/ML projects in production environments.
Strong leadership and mentoring skills.
Exceptional command in the architecture, development, and testing of AI agents.
Candidates must have a bachelor’s or master’s degree, 10+ years of software engineering experience, and strong leadership skills in delivering AI/ML projects.

Nice To Haves

Professionals that are passionate about technology, who already have an understanding of data and are comfortable analyzing or manipulating it while generating reports for clients.
Ability to clearly articulate both problems and proposed solutions.
Willingness to learn and quickly adapt to changing requirements.
Team players and hard workers who are not afraid to take initiative to master their craft and produce high-quality work.
Proactive approach and want to be part of a group that continues to grow significantly.

Responsibilities

Leads the design, development, and testing of advanced AI agents and multi-agent systems, ensuring scalability, security, and observability in production-grade LLM and RAG solutions.
Build multi-agent systems with proper state and memory management, evaluation, and concurrent orchestration.
Design systems that allow for human oversight and feedback to improve agent performance.
Develop explainable AI frameworks to ensure model decisions are transparent and auditable.
Architect scalable, secure, and observable production-grade LLM systems.
Set up observability (tracing, logging, evaluation, service level indicators) for AI agents and establish mandatory evaluation gates in CI/CD pipelines.
Integrate LLMs into systems, apply advanced prompt engineering, and fine-tune pre-trained models.
Design, build, and implement Retrieval-Augmented Generation (RAG) systems, including vector databases, embeddings, and knowledge graphs.
Design test suites for non-deterministic AI systems, including golden datasets and human-in-the-loop review processes.
Define and automate agent behavior metrics (task completion rate, tool-use success rate, execution trajectory efficiency, error recovery).
Implement evaluation pipelines to assess output quality against pre-defined rubrics.
Instrument and analyze agent internal thought processes for debugging and improvement.
Test agentic solutions for adversarial and safety scenarios, including prompt injection and jailbreaking.
Test RAG components for contextual precision, faithfulness, and quality of retrieved documents.

Benefits

Competitive compensation package
Performance-based rewards
Medical and dental coverage
Pension and 401(k) plans
Minimum of 15 days of vacation
Ten observed holidays
Three paid personal days
Range of programs and benefits designed to support your physical, financial, and social well-being
Opportunities to develop new skills and progress your career
Support and coaching from some of the most engaging and knowledgeable colleagues
Collaborative environment where everyone works together to create a better working world
Excellent training and development prospects
Future-focused skills development
World-class experiences
Flexible environment
Diverse and inclusive culture of globally connected teams
Flexible vacation policy
Time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence