EYTech S and T-AI Architect-ISR-Manager-GDSF02
About this role
Key Responsibilities
- Lead AI strategy, assessment, and transformation engagements for enterprise clients across multiple industries.
- Define AI vision, adoption roadmaps, governance frameworks, and operating models aligned with business objectives.
- Manage the end-to-end lifecycle of AI/ML and Generative AI programs, from discovery and use-case identification through implementation and value realization.
- Provide leadership in designing scalable AI architectures including machine learning platforms, GenAI ecosystems, AI Agents, and enterprise knowledge solutions.
- Drive AI modernization initiatives involving analytics transformation, intelligent automation, copilots, and domain-specific AI applications.
- Manage delivery teams comprising data scientists, ML engineers, AI engineers, architects, and developers.
- Act as a trusted advisor to client leadership by presenting AI strategies, business cases, operating models, and transformation roadmaps.
- Ensure solution quality, governance compliance, risk management, and successful program execution.
- Support business development activities including proposal creation, solution estimation, client presentations, and AI capability demonstrations.
- Mentor team members and establish best practices across AI engineering, MLOps, Responsible AI, and solution delivery.
Required Skills & Experience
- 7–12 years of overall IT experience with significant experience in AI/ML, Generative AI, analytics, and digital transformation programs.
- Proven experience leading large-scale AI/ML transformation initiatives and enterprise AI/ML solution deployments.
- Strong expertise in:
- Artificial Intelligence and Machine Learning
- Generative AI and Large Language Models (LLMs)
- AI Agent frameworks and autonomous workflows
- Data Science, Advanced Analytics, and Predictive Modeling
- Cloud AI platforms such as Azure AI, AWS AI, or Google Cloud AI
- MLOps, AI governance, and production AI operations
- Demonstrated experience in AI strategy, assessment methodologies, and transformation planning.
- Experience managing cross-functional technical teams and delivering multiple concurrent engagements.
- Strong understanding of Responsible AI, model governance, security, privacy, and compliance requirements.
- Ability to translate business challenges into AI-driven solutions with measurable business outcomes.
- Excellent executive-level communication, stakeholder management, and consulting skills.
- Strong experience in estimation, solutioning, account growth, and practice development initiatives.
Good to Have
- Advanced certifications in AI, Data Science, Cloud AI, or Enterprise Architecture.
- Experience with Azure AI Foundry, Azure OpenAI, Copilot technologies, and enterprise GenAI platforms.
- Exposure to industry-specific AI transformation programs
- Thought leadership through whitepapers, accelerators, reusable assets, AI frameworks, or innovation initiatives.
EY | Building a better working world
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
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EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.
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