Technology Consulting - TMT - Forward Deployed Engineer - Manager

EY•Hartford, DC

6d•$139,100 - $289,700

About The Position

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. The position involves managing AI, data, cloud, and digital engineering programs from assessment and design through implementation and adoption. You will translate client objectives into requirements, target-state designs, delivery roadmaps, governance structures, and measurable outcomes while coordinating multidisciplinary teams and client stakeholders. You will also manage delivery controls, support business development and reusable solutions, and coach team members. The role is open to candidates anywhere in the country and requires 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 employer sponsorship now or in the future. EY accepts applications on an ongoing basis.

Requirements

At least 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.
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.
Legally authorized to work in the U.S. without employer sponsorship, now and in the future.

Nice To Haves

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.

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 development of reusable assets and accelerators.
Coach team members and foster an inclusive, collaborative, and high-performing environment.