PUNE · FULLTIME
AI Solution & Transformation Architect (Tech Managed Service)
Ernst Young
Pune · onsite · Posted 4d ago
Sourced from
Undisclosed15–20 yrsfulltimePune
Your match
?
Sign in to see your match score, skill gaps & tailored resume.
Section · 01
About this role
Job Summary
The AI Solution & Transformation Architect (Tech Managed Service) will design and propose AI-first Managed Services solutions across Data Managed Service, Application Managed Services (AMS), and AI as a Service sub solutions. The role focuses on embedding agentic workflows, and automation, AI-driven productivity, build compelling sector and tool specific deep AI led client impact narratives, transformation solution pricing and commercial business case constructs within the managed service pursuits to create scalable, outcome-based delivery models.
Key Responsibilities - Lead end-to-end AI solutioning for large Tech Managed Service RFP/RFIs
- Define AI driven productivity commitments backed by automation roadmap
- Developing ROI and TCO-backed AI Narrative
- Develop AI-integrated operating models
- Reimagination of traditional TechOps operating models with Agentic possibilities
- AI-backed value engineering & commercial differentiation
- Design end to end AI architectures across LLMs, NLP, RAG, Agent skills, Knowledge graph, vector databases, and predictive analytics.
- Engage with Deal Architect /Team in workshops, discovery sessions, and design sessions
- Create managed service pursuit slide decks with deeply infused client context
- Perform sector specific and Tool specific AI research and publish point of view / thought leadership papers on periodic basis
- Constantly research, learn, maintain and collaborate with EY.ai Tech MS relevant assets & tools landscape and EY global stakeholder group
- Deep collaboration with super region leaders, client partners and leadership teams
- Lead POCs, MVPs, and rapid prototyping.
- Evaluate and integrate emerging AI capabilities into Tech MS solution offerings
- Perform AI maturity assessments
- Design responsible AI and agentic AI guardrails as per clients policies
- Perform Fin Ops analysis/ AI services and token cost estimates
- Experience and expertise in enterprise observability and AIOps landscape and solutioning (E.g. Dynatrace, Datadog, New Relic, SAP Cloud ALM etc)
- Expertise and experience in multiple agentic AI platforms, architecture and automation tools (E.g. Azure AI Foundry, Vertex AI, AWS Bedrock, SAP BTP & Business AI Platform, SNOW Assist, LangGraph, CrewAI, Microsoft Agent Framework, UIpath, SAP Signavio, Celonis Process Intelligence etc)
- Extremely proficient in client story telling & presentation verbal as well as powerpoint slides
- Data engineering proficiency (SQL, ETL pipelines, streaming, data lakes) and understanding of Data engineering agents
- Understanding of enterprise security, identity, compliance, and governance in AI deployments.
- Experience in agentic solution design, build and deployment, Deep understanding of LLMs, NLP, GenAI, RAG, Prompt engineering & model tuning
- Experience in Technology Managed Service pre-sales & solutioning as Solution Architect
- Minimum 15+ years of overall consulting, pre-sales and managed service experience
- Engineering graduate
- Post graduation in AI & ML
- Azure AI Engineer / AI Architect / SNOW Assist / SAP AI Architect
- ITIL Foundation (for AMS solutioning)
- SAFe Certifications
- Certified Solution Architect
- Certified Enterprise Architect
- Experience and expertise of multiple SaaS tools and platforms (E.g. SAP, Salesforce, Servicenow, Guidewire etc)
- Pursuit solutioning experience (RFP, RFI, RFQ)
- Deep awareness of Technology Managed service competitive landscape
Sourced from naukri
Let the agent run this one for you.
Tailored resume, auto-apply, and referral lookup — in under 2 minutes.
Section · 02
Skills
AlmAutomationDatadogBedrockcelonisAIOpsAutomation ToolsCrewaiAzure Aiai servicesaws bedrockamazon web servicesDynatraceAi ResearchAnalyticsCapital MarketsdeploymentData EngineeringArchitecturecomplianceAi PlatformMicrosoft AzureArtificial Intelligence
Section · Company
About Ernst & Young
Ernst Young
Management Consulting
44k+
employees
2002
24 years old
Gurgaon / Gurugram, Haryana
India
₹15.3L PA avg
Avg at Ernst & Young
About
At EY, our purpose is Building a better working world. The insights and quality services we provide help build trust and confidence in the capital markets and in economies the world over.
Industries
Management Consulting
Employee ratings
10 reviews
3.4/ 5
Culture
1.9
Career growth
2.3
Work-life
2.5
Employees rate it well for
Job Security36Skill Development35
Find them on