AI Strategy & Delivery Manager

EY

Baltimore (MD)

On-site

USD 128,000 - 235,000

Full time

2 days ago
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Benefits offered by this job

Hybrid work model
Total Rewards
Paid time off
Medical & dental coverage

Job summary

EY is seeking a Manager in Applied AI to lead the delivery of production‑grade AI solutions for private equity clients and their portfolio companies. You will guide both technical and non‑technical teams through development, deployment, and adoption, ensuring measurable business value and robust data infrastructure.

You will mentor teams on model selection, deployment patterns, security, and responsible AI, while driving process improvements and identifying opportunities for new services and

Qualifications

  • Bachelor’s degree required.
  • Typically 4–6 years relevant experience.
  • Strong programming in Python and SQL.
  • Experience deploying AI/ML on major clouds (AWS, Azure, GCP) and data platforms (Snowflake, Databricks).
  • GenAI development: LLM APIs, RAG, agentic workflows, prompt engineering.
  • Proficient in MLOps and DevSecOps tooling (Docker, Kubernetes, Terraform, CI/CD).
  • Experience building data/ML pipelines (Spark, Kafka).

Responsibilities

  • Lead delivery of complex AI initiatives and ensure quality and risk management.
  • Coach team and mentor on technical aspects.
  • Manage engagement economics and resource planning.
  • Conduct code and design reviews and provide mentorship.
  • Identify opportunities for additional services and lead RFP responses.

Skills

Python
SQL
Cloud platforms
AI/ML engineering
MLOps
Docker
Kubernetes
Terraform
CI/CD
Spark
Kafka
Snowflake
Databricks
LLM APIs

Education

Bachelor’s degree

Tools

Docker
Kubernetes
Terraform
CI/CD
Snowflake
Databricks
Spark
Kafka
LLM APIs

Job description

EY is seeking a Manager in Applied AI to lead the delivery of production‑grade AI solutions for private equity clients and their portfolio companies. You will guide both technical and non‑technical teams through development, deployment, and adoption, ensuring measurable business value and robust data infrastructure.

You will mentor teams on model selection, deployment patterns, security, and responsible AI, while driving process improvements and identifying opportunities for new services and

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