AMS (Managed Services) - Solution Architect- Sr Manager
Ernst and Young1 month ago
Pune, IndiaStaff+
Responsibilities
- Lead end-to-end AI solutioning for large Technology Managed Services RFPs and RFIs.
- Define AI-driven productivity commitments, automation roadmaps, ROI/TCO narratives, operating models, and commercial business cases.
- Design end-to-end AI architectures using LLMs, NLP, RAG, agent skills, knowledge graphs, vector databases, and predictive analytics.
- Collaborate with deal architects, regional leaders, client partners, and leadership teams in workshops, discovery sessions, and design sessions.
- Create client-contextualized managed services pursuit presentations and sector- or tool-specific AI thought leadership.
- Lead proofs of concept, MVPs, rapid prototypes, AI maturity assessments, and evaluation of emerging AI capabilities.
- Design responsible AI and agentic AI guardrails aligned with client policies.
- Perform FinOps analysis and estimate AI service and token costs.
Requirements
- Minimum 15+ years of overall consulting, pre-sales, and managed services experience.
- Engineering graduate with postgraduate education in AI and machine learning.
- Experience in enterprise observability and AIOps solutioning, including tools such as Dynatrace, Datadog, New Relic, or SAP Cloud ALM.
- Expertise with multiple agentic AI platforms, architecture, and automation tools such as Azure AI Foundry, Google Cloud Vertex AI, AWS Bedrock, SAP BTP, SAP Business AI Platform, Snow Assist, LangGraph, CrewAI, Microsoft Agent Framework, UiPath, SAP Signavio, and Celonis Process Intelligence.
- Strong client storytelling and presentation skills, including PowerPoint-based executive presentations.
- Data engineering proficiency covering SQL, ETL pipelines, streaming, data lakes, and data engineering agents.
- Understanding of enterprise security, identity, compliance, and governance for AI deployments.
- Deep understanding of LLMs, NLP, generative AI, RAG, prompt engineering, and model tuning.
- Experience designing, building, and deploying agentic solutions and in Technology Managed Services pre-sales and solutioning as a Solution Architect.
- Relevant qualifications or certifications including Azure AI Engineer, AI Architect, Snow Assist, SAP AI Architect, ITIL Foundation, SAFe, Certified Solution Architect, and Certified Enterprise Architect.
- Preferred experience with SaaS tools and platforms such as SAP, Salesforce, ServiceNow, and Guidewire.
- Preferred pursuit solutioning experience involving RFPs, RFIs, and RFQs, plus awareness of the Technology Managed Services competitive landscape.
Benefits
- Continuous learning, coaching, and leadership development opportunities.
- Flexible support and tools to make a meaningful impact and shape your career.
- Diverse and inclusive global culture with collaboration across EY service lines, geographies, and sectors.
- Opportunity to work with global teams across Argentina, China, India, the Philippines, Poland, and the UK.
Tech Stack
DatadogSQL
Categories
Solutions Engineering
About Ernst and Young
Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.