Technology Consulting - TMT - Forward Deployed Engineer - Manager
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IT/Tech
Cloud Computing: Infrastructure & Operations, AI Engineer (Applied/Software), IT Project Manager, AI Business & Operations
Job Description & How to Apply Below
- Forward Deployed Engineer
- Manager
Other locations:
Anywhere in Country
Requisition
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 work streams 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 work streams 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 work streams 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, Dev Ops, 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 .
- The salary range for this job is:
- New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California…
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