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Ernst & Young

Provides consulting, assurance, and tax services

AI Solution & Transformation Architect Senior Manager

Pre-Sales Solution EngineeringPosted on Nov 12
Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

  • Minimum 15 years of overall consulting, presales, and managed service experience.
  • Engineering graduate degree.
  • Postgraduate qualification in AI and ML.
  • Azure AI Engineer, AI Architect, SNOW Assist, or SAP AI Architect credential.
  • ITIL Foundation certification for Application Managed Services solutioning.
  • SAFe certifications.
  • Certified Solution Architect credential.
  • Certified Enterprise Architect credential.
  • Experience and expertise in enterprise observability and AIOps solutioning, including Dynatrace, Datadog, New Relic, or SAP Cloud ALM.
  • Expertise and experience with agentic AI platforms, architecture, and automation tools, including Azure AI Foundry, GCP Vertex AI, AWS Bedrock, SAP BTP and Business AI Platform, SNOW Assist, LangGraph, CrewAI, Microsoft Agent Framework, UiPath, SAP Signavio, or Celonis Process Intelligence.
  • Client storytelling and presentation proficiency, including verbal presentations and PowerPoint slides.
  • Data engineering proficiency in SQL, ETL pipelines, streaming, and data lakes, and understanding of data engineering agents.
  • Understanding of enterprise security, identity, compliance, and governance in AI deployments.
  • Experience designing, building, and deploying agentic solutions, with deep understanding of large language models, natural language processing, generative AI, retrieval-augmented generation, prompt engineering, and model tuning.
  • Experience in Technology Managed Services presales and solutioning as a Solution Architect.

Responsibilities

  • Lead end-to-end AI solutioning for large Technology Managed Services RFPs and RFIs.
  • Define AI-driven productivity commitments supported by an automation roadmap.
  • Develop return-on-investment- and total-cost-of-ownership-backed AI narratives.
  • Develop AI-integrated operating models.
  • Reimagine traditional Technology Operations operating models using agentic possibilities.
  • Develop AI-backed value engineering and commercial differentiation.
  • Design end-to-end AI architectures across large language models, natural language processing, retrieval-augmented generation, agent skills, knowledge graphs, vector databases, and predictive analytics.
  • Engage with deal architects and teams in workshops, discovery sessions, and design sessions.
  • Create managed services pursuit slide decks infused with client context.
  • Conduct sector-specific and tool-specific AI research and periodically publish points of view and thought-leadership papers.
  • Research, learn, maintain, and collaborate on relevant EY.ai Technology Managed Services assets and tools and with EY global stakeholder groups.
  • Collaborate with super-region leaders, client partners, and leadership teams.
  • Lead proofs of concept, minimum viable products, and rapid prototyping.
  • Evaluate and integrate emerging AI capabilities into Technology Managed Services solution offerings.
  • Conduct AI maturity assessments.
  • Design responsible AI and agentic AI guardrails according to client policies.
  • Perform FinOps analysis and estimate AI services and token costs.

Desired Qualifications

  • Experience and expertise with multiple SaaS tools and platforms, including SAP, Salesforce, ServiceNow, or Guidewire.
  • Pursuit solutioning experience involving RFPs, RFIs, or RFQs.
  • Deep awareness of the Technology Managed Services competitive landscape.

About the Company

Ernst & Young

Provides consulting, assurance, and tax services

EY (Ernst & Young) is a global professional services firm that provides consulting, assurance, tax, and transaction advisory services across industries such as energy, healthcare, financial services, and real estate. Its work centers on helping clients solve critical business challenges by offering high-value advisory support in areas like supply chain, cybersecurity, sustainability, and digital transformation; revenue comes from fees for consulting, audit, and advisory services. What sets EY apart is its breadth of services across multiple disciplines, deep industry knowledge, and emphasis on thought leadership and research to inform clients’ strategic decisions. The firm aims to help organizations improve operational efficiency, navigate regulatory environments, and stay ahead of market trends by delivering practical, evidence-based guidance and execution support.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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