Technology Consulting - TMT - Forward Deployed Engineer - Manager

EY; Richmond (VA); Remote; USD 139,000 - 255,000; Full time

Job summary

EY is seeking a Manager in AI Engineering and Solutions to lead client workstreams delivering enterprise AI, data, digital engineering, and cloud-enabled solutions for Technology sector clients.

You will connect business needs with architecture, oversee delivery, and contribute to solution development and growth while mentoring teams in a collaborative environment. Travel and flexible hours may be required.

Qualifications

• 6+ years of technology consulting, AI engineering, data platforms, or related fields.
• Experience managing teams or major workstreams in enterprise AI, data, cloud, or engineering initiatives.
• Knowledge of generative AI, MLOps, data engineering, model deployment, responsible AI, and governance.

Responsibilities

• Manage AI, data, cloud, and digital engineering workstreams from assessment to adoption.
• Translate objectives into requirements, target-state designs, and measurable outcomes.
• Coordinate architects, engineers, data scientists, product teams, risk professionals, and client stakeholders.

Skills

AI engineering

Data platforms

Cloud architecture

Project management

Client engagement

Governance

Tools

Azure

AWS

GCP

Job description

Location: Anywhere in Country

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.

The opportunity

As a Manager in AI Engineering and Solutions, you will manage client workstreams and teams delivering enterprise AI, data, digital engineering, and cloud-enabled solutions for Technology sector clients. You will connect business needs with architecture and engineering decisions, oversee high-quality delivery, and contribute to solution development and business growth.

Your Key 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 And Attributes For Success

To qualify for the role, you must have:

• 6+ years of relevant experience in 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

Ideally, you will have:

• Experience serving Technology sector organizations, including software, cloud, semiconductor, cybersecurity, digital-platform, media technology, or AI-native companies.
• Familiarity with application modernization, microservices, DevOps, SRE, platform engineering, enterprise architecture, and operating-model design.
• Experience with Agile, Scrum, Waterfall, and program or portfolio management tools.
• Relevant cloud, data, architecture, AI, Agile, or project-management certifications. Microsoft, Google Cloud, and AWS certifications are sufficient. Relevant AI and agentic AI certifications, along with Databricks, Snowflake, NVIDIA, Kubernetes, or similar platform credentials will be helpful.

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

What We Offer You

At EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at ey.com/us/careers.

• The salary range for this job is:
• New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $166,900 to $278,100
• Bay Area California offices – $173,800 to $289,700
• All other offices locations in the US, including Sacramento – $139,100 to $254,900
• Individual salaries within these 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.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

All in to shape the future with confidence.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at [e-mail].