AI Engineering & Solutions Manager - Remote & Travel-Ready

EY; Stamford (CT); On-site; USD 139,000 - 255,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension

401(k) plans

Paid time off

Job summary

EY in the United States seeks a Manager in AI Engineering and Solutions to lead client workstreams and teams delivering enterprise AI, data, and cloud-enabled solutions for Technology sector clients. You’ll align business needs with architecture and engineering decisions and ensure high-quality delivery.

You’ll coordinate cross-functional teams, shape proposals, develop reusable assets, and grow the business while fostering an inclusive, high-performing environment.

Qualifications

• 6+ years of technology consulting, AI engineering, data platforms, enterprise architecture, digital engineering, or a related field.
• Experience managing teams or major workstreams within enterprise-scale AI, data, cloud, or engineering initiatives.
• Working knowledge of generative AI, machine learning, data engineering, MLOps, model deployment, responsible AI, and governance.
• Experience with cloud-native architecture and modern data platforms across Azure, AWS, and/or GCP.
• Experience taking generative AI, RAG, or agentic systems from prototype to production is important
• Strong project management, analytical, communication, stakeholder-management, and problem-solving skills.
• Experience contributing to proposals, solution development, and client presentations.
• Willingness and ability to travel and work flexible hours based on client and project needs.
• Candidates must be legally authorized to work in the U.S. without the need for employer sponsorship, now and in the future

Responsibilities

• Manage workstreams within AI, data, cloud, and digital engineering programs from assessment and design through implementation and adoption.
• Translate client objectives into requirements, target-state designs, delivery roadmaps, governance structures, and measurable outcomes.
• Coordinate architects, engineers, data scientists, product teams, risk professionals, and client stakeholders across the delivery lifecycle.
• Manage scope, schedule, budget, risks, dependencies, quality, and executive-ready reporting.
• Support solution shaping, proposals, estimates, client presentations, and the development of reusable assets and accelerators.
• Coach team members and foster an inclusive, collaborative, and high-performing environment.

Skills

AI engineering

Team leadership

Project management

Generative AI

Machine learning

Data engineering

MLOps

Model deployment

Responsible AI

Governance

Cloud architecture

Azure

AWS

GCP

RAG

Agentic AI

Stakeholder management

Communication

Tools

Azure

AWS

GCP

Job description

EY in the United States seeks a Manager in AI Engineering and Solutions to lead client workstreams and teams delivering enterprise AI, data, and cloud-enabled solutions for Technology sector clients. You’ll align business needs with architecture and engineering decisions and ensure high-quality delivery.

You’ll coordinate cross-functional teams, shape proposals, develop reusable assets, and grow the business while fostering an inclusive, high-performing environment.