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

EY•Tampa, FL

7d•$65,500 - $134,000•Hybrid

About The Position

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! The Opportunity 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. Key Responsibilities: This role contributes to the design, development, and testing of AI agents and multi-agent systems, supporting scalability, security, and observability in LLM and RAG solutions. It requires hands-on experience with agentic frameworks, prompt engineering, evaluation pipelines, and safety testing, preferably with Google-ADK, LangChain/LangGraph, and vector databases. Candidates must have a bachelor’s or master’s degree, 8+ years of software engineering experience, and a proven record of delivering AI/ML projects.

Requirements

Bachelor’s or master’s degree in Computer Science, Engineering, Mathematics, or a related field.
5+ years of experience in software engineering, with at least 3+ year focused on AI/ML solution development.
Experience delivering AI/ML projects in production environments.
Good communication and teamwork skills.
Agentic AI Architecture: Experience with multi-agent systems, state/memory management, and explainable AI.
Agentic Frameworks: Exposure to Google-ADK and LangChain/LangGraph.
MLOps/AIOps: Understanding of scalable LLM systems, observability, and CI/CD evaluation gates.
LLMs: Integration, prompt engineering (zero-shot, few-shot, chain-of-thought), and model fine-tuning.
RAG Systems: Familiarity with vector databases (Pinecone, Weaviate, PGVector), embeddings, and knowledge graphs.
Test Strategy: Test suite design for AI, golden datasets, and human-in-the-loop review.
Agent Metrics: Task completion, tool-use success, and error recovery.
Evaluation: Evaluation pipelines and output quality rubrics.
Log Analysis: Instrumentation and analysis of agent reasoning and tool use.
Testing Frameworks: Experience with Python (pytest), LLM evaluation libraries (Ragas, DeepEval).
Safety Testing: Adversarial and safety testing, prompt injection, jailbreaking.
RAG Testing: Contextual precision, faithfulness, and document quality metrics.

Responsibilities

Participate in the development and testing of AI agents and multi-agent systems.
Support state and memory management, evaluation, and orchestration in agentic solutions.
Assist in designing systems for human oversight and feedback to improve agent performance.
Contribute to explainable AI frameworks for transparent model decisions.
Help implement scalable and secure LLM systems with observability features.
Support observability (tracing, logging, evaluation) and CI/CD evaluation gates for AI agents.
Integrate LLMs into systems, apply prompt engineering, and assist in fine-tuning models.
Contribute to Retrieval-Augmented Generation (RAG) systems, including vector databases and embeddings.
Assist in designing test suites and human-in-the-loop review processes for AI systems.
Support the definition and automation of agent behavior metrics.
Help implement evaluation pipelines and analyze agent internal processes.
Participate in safety and adversarial testing, including prompt injection and jailbreaking.
Support RAG component testing for contextual precision and document quality.

Benefits

We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business.
In addition, our Total Rewards package includes medical and dental coverage, both pension and 401(k) plans, a minimum of 15 days of vacation plus ten observed holidays and three paid personal days, and a 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
A collaborative environment where everyone works together to create a better working world
Excellent training and development prospects
We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business.
The base salary range for this job in all geographic locations in the US is $65,500 to $134,000.
The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $78,600 to $152,100.
Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography.
In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances.
You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.