Manager - Business Consulting PI - TMT - CNS - BC - Finance

Requisition Id 1631494As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom. At EY, we don't just focus on who you are now, but who you can become. We believe that its your career and Its yours to build which means potential here is limitless and we'll provide you with motivating and fulfilling experiences throughout your career to help you on the path to becoming your best professional self.The opportunity Manager-TMT-Business Consulting PI-CNS - BC - Finance - BangaloreTMT :Industry convergence offers TMT (Technology, Media Entertainment, and Telecommunications) organizations the chance to evolve and transform, but it also presents challenges around competitiveness and delivering agile corporate strategies for growth.We help TMT companies create compelling employee and customer experiences, retaining skills and talent while achieving enterprise-wide operational excellence. We help them guard their data, brand and reputation. We also enable the pursuit of MA strategies that methodically create value, reduce risk and transform TMT companies into powerhouses that will lead the technology revolution of the future building a better working world for all.CNS - BC - Finance :EY Consulting is building a better working world by transforming businesses through the power of people, technology and innovation. Our client-centric approach focuses on driving long-term value for our clients by solving their most strategic problems. EY Consulting is made up of three sub-service linesBusiness Consulting (including Performance Improvement and Risk Consulting), Technology Consulting and People Advisory Services.Business Consulting works with clients to reimagine or transform their business purpose and model; create growth; manage cost and efficiency; respond to market pressures and regulation; and resolve operational challenges. The scope of this team encompasses innovation, strategy and purpose, through deep functional experience in business transformation, finance, supply chain and operations, providing support for the complex and large-scale program and portfolio management.It has multiple fields of play such as:Finance Consulting - helps assess and transform our clients' finance function to improve performance and effectiveness. We help organizations implement service and cost improvement initiatives, and embed a performance management process and culture that unites the business around its core objectives.Business Transformation - a multidisciplinary competency, gathering capabilities in transformation architecture, experience design, business design and transformation execution to problem-solve, design and deliver large scale, multi-year, multi-stakeholder transformation programs.Supply Chain and Operations - we provide a unique combination of industry-specific, strategic, operational and financial insights, digital technology advances and strategic alliance partners to deliver better outcomes and also help clients effect fundamental change in their operations performance to support sales growth, become more cost competitive, minimize risk and ensure operational resilience.Your key responsibilitiesTechnical ExcellenceLocationBangalore, Working from office Mandatory. Experience Level6-8 years Job Summary We are seeking a passionate and highly skilled Solution Architect Generative AI Agentic AI to design, develop, and deploy intelligent systems leveraging large language models (LLMs), multiagent frameworks, and enterprise AI integration patterns. This role will play a key part in building next-generation AI applications that autonomously reason, act, and learn across complex business workflows. As a GenerativeAgenticAISolution Architect you will own the end-to-end architecture for enterprise-grade GenAI solutions and multi-agent systems. Youll translate business objectives into scalable, compliant, and observable AI capabilitiesspanning data pipelines, foundation-model ops, Retrieval-AugmentedGeneration (RAG), and autonomous agent orchestration. You will partner with product owners, data scientists, platform engineers, security, and business stakeholders to accelerate AI-driven transformation while safeguarding performance, ethics, and regulatory compliance. Key ResponsibilitiesSolution Development

Design and implement applications using LLMs (e.g., OpenAI, Mistral, Claude, Llama).

Build autonomous multi-agent systems using frameworks like AutoGen, LangGraph, CrewAI, or AgentOps.

Develop scalable backend services and orchestration pipelines using Python/Node.js integrated with AI APIs.

Lead discovery workshops, create MVP backlogs, and convert PoCs into production-ready solutions following MLOps / LLMOps best practices.

Oversee model selection, finetuning, prompt-engineering, evaluation, and continuous monitoring. Architecture Engineering

Translate business requirements into agentic workflows with reasoning, memory, and tool usage.

Integrate GenAI and agents with enterprise systems (e.g., SAP, ServiceNow, Salesforce) via APIs and RAG pipelines.

Work with vector databases (e.g., Pinecone, FAISS, Weaviate) for semantic search and long-term memory.

Define reference architectures for GenAI (LLMs, Diffusion, SSMs) and agentic patterns (task-decomposition, planner-executor, tool-calling).

Design secure micro-service and event-driven topologies on cloud / hybrid infra (AWS Bedrock, Azure OpenAI, Google Vertex, private GPUs). RequiredTechnicalCompetencies

GenerativeAIHands-on with LLMs (GPT-4o, Claude-3, Gemini, Llama-3), Diffusion, and audio-/vision models; experience with HF Transformers, LangChain / LlamaIndex.

AgenticFrameworksExperience designing goal-oriented agents using AutoGen, CrewAI, SemanticKernel, or custom planners; familiarity with tool-calling, memory management, and AIschedulers.

LLMOps / MLOpsCI/CD for model artifacts, feature stores, vector DBs (Pinecone, Weaviate, FAISS), model gateways, and policy engines (Guardrails, AzureAISafety).

Cloud DevSecOpsTerraform, Kubernetes, Docker, serverless, GPU orchestration, secret management, SAST/DAST integration.

ProgrammingPython (primary), TypeScript/Node, Bash; strong design-pattern discipline and code-review leadership.

Build replaceable but working proof-of-conceptsCLI, Streamlit, or VS Code Jupyterso stakeholders can touch the idea.

Write production-grade Python/TypeScript to orchestrate agents with AutoGen / CrewAI / SemanticKernel.

Hook agents to real systems (SAP BAPIs, Salesforce APIs, REST/GraphQL) and manage auth tokens secrets.

Build CI/CD (GitHubActions, Terraform, Helm) that auto-tests prompts, pushes Docker images, and provisions GPUs.

Instrument tracing (OpenTelemetry) and set up dashboards for tokens, latency, cost per call. Education

Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.

Skills and attributesTo qualify for the role you must haveQualificationLocationBangalore, Working from office Mandatory. Experience Level6-8 years Job Summary We are seeking a passionate and highly skilled Solution Architect Generative AI Agentic AI to design, develop, and deploy intelligent systems leveraging large language models (LLMs), multiagent frameworks, and enterprise AI integration patterns. This role will play a key part in building next-generation AI applications that autonomously reason, act, and learn across complex business workflows. As a GenerativeAgenticAISolution Architect you will own the end-to-end architecture for enterprise-grade GenAI solutions and multi-agent systems. Youll translate business objectives into scalable, compliant, and observable AI capabilitiesspanning data pipelines, foundation-model ops, Retrieval-AugmentedGeneration (RAG), and autonomous agent orchestration. You will partner with product owners, data scientists, platform engineers, security, and business stakeholders to accelerate AI-driven transformation while safeguarding performance, ethics, and regulatory compliance. Key ResponsibilitiesSolution Development

Design and implement applications using LLMs (e.g., OpenAI, Mistral, Claude, Llama).

Build autonomous multi-agent systems using frameworks like AutoGen, LangGraph, CrewAI, or AgentOps.

Develop scalable backend services and orchestration pipelines using Python/Node.js integrated with AI APIs.

Lead discovery workshops, create MVP backlogs, and convert PoCs into production-ready solutions following MLOps / LLMOps best practices.

Oversee model selection, finetuning, prompt-engineering, evaluation, and continuous monitoring. Architecture Engineering

Translate business requirements into agentic workflows with reasoning, memory, and tool usage.

Integrate GenAI and agents with enterprise systems (e.g., SAP, ServiceNow, Salesforce) via APIs and RAG pipelines.

Work with vector databases (e.g., Pinecone, FAISS, Weaviate) for semantic search and long-term memory.

Define reference architectures for GenAI (LLMs, Diffusion, SSMs) and agentic patterns (task-decomposition, planner-executor, tool-calling).

Design secure micro-service and event-driven topologies on cloud / hybrid infra (AWS Bedrock, Azure OpenAI, Google Vertex, private GPUs). RequiredTechnicalCompetencies

GenerativeAIHands-on with LLMs (GPT-4o, Claude-3, Gemini, Llama-3), Diffusion, and audio-/vision models; experience with HF Transformers, LangChain / LlamaIndex.

AgenticFrameworksExperience designing goal-oriented agents using AutoGen, CrewAI, SemanticKernel, or custom planners; familiarity with tool-calling, memory management, and AIschedulers.

LLMOps / MLOpsCI/CD for model artifacts, feature stores, vector DBs (Pinecone, Weaviate, FAISS), model gateways, and policy engines (Guardrails, AzureAISafety).

Cloud DevSecOpsTerraform, Kubernetes, Docker, serverless, GPU orchestration, secret management, SAST/DAST integration.

ProgrammingPython (primary), TypeScript/Node, Bash; strong design-pattern discipline and code-review leadership.

Build replaceable but working proof-of-conceptsCLI, Streamlit, or VS Code Jupyterso stakeholders can touch the idea.

Write production-grade Python/TypeScript to orchestrate agents with AutoGen / CrewAI / SemanticKernel.

Hook agents to real systems (SAP BAPIs, Salesforce APIs, REST/GraphQL) and manage auth tokens secrets.

Build CI/CD (GitHubActions, Terraform, Helm) that auto-tests prompts, pushes Docker images, and provisions GPUs.

Instrument tracing (OpenTelemetry) and set up dashboards for tokens, latency, cost per call. Education

Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.

ExperienceLocationBangalore, Working from office Mandatory. Experience Level6-8 years Job Summary We are seeking a passionate and highly skilled Solution Architect Generative AI Agentic AI to design, develop, and deploy intelligent systems leveraging large language models (LLMs), multiagent frameworks, and enterprise AI integration patterns. This role will play a key part in building next-generation AI applications that autonomously reason, act, and learn across complex business workflows. As a GenerativeAgenticAISolution Architect you will own the end-to-end architecture for enterprise-grade GenAI solutions and multi-agent systems. Youll translate business objectives into scalable, compliant, and observable AI capabilitiesspanning data pipelines, foundation-model ops, Retrieval-AugmentedGeneration (RAG), and autonomous agent orchestration. You will partner with product owners, data scientists, platform engineers, security, and business stakeholders to accelerate AI-driven transformation while safeguarding performance, ethics, and regulatory compliance. Key ResponsibilitiesSolution Development

Design and implement applications using LLMs (e.g., OpenAI, Mistral, Claude, Llama).

Build autonomous multi-agent systems using frameworks like AutoGen, LangGraph, CrewAI, or AgentOps.

Develop scalable backend services and orchestration pipelines using Python/Node.js integrated with AI APIs.

Lead discovery workshops, create MVP backlogs, and convert PoCs into production-ready solutions following MLOps / LLMOps best practices.

Oversee model selection, finetuning, prompt-engineering, evaluation, and continuous monitoring. Architecture Engineering

Translate business requirements into agentic workflows with reasoning, memory, and tool usage.

Integrate GenAI and agents with enterprise systems (e.g., SAP, ServiceNow, Salesforce) via APIs and RAG pipelines.

Work with vector databases (e.g., Pinecone, FAISS, Weaviate) for semantic search and long-term memory.

Define reference architectures for GenAI (LLMs, Diffusion, SSMs) and agentic patterns (task-decomposition, planner-executor, tool-calling).

Design secure micro-service and event-driven topologies on cloud / hybrid infra (AWS Bedrock, Azure OpenAI, Google Vertex, private GPUs). RequiredTechnicalCompetencies

GenerativeAIHands-on with LLMs (GPT-4o, Claude-3, Gemini, Llama-3), Diffusion, and audio-/vision models; experience with HF Transformers, LangChain / LlamaIndex.

AgenticFrameworksExperience designing goal-oriented agents using AutoGen, CrewAI, SemanticKernel, or custom planners; familiarity with tool-calling, memory management, and AIschedulers.

LLMOps / MLOpsCI/CD for model artifacts, feature stores, vector DBs (Pinecone, Weaviate, FAISS), model gateways, and policy engines (Guardrails, AzureAISafety).

Cloud DevSecOpsTerraform, Kubernetes, Docker, serverless, GPU orchestration, secret management, SAST/DAST integration.

ProgrammingPython (primary), TypeScript/Node, Bash; strong design-pattern discipline and code-review leadership.

Build replaceable but working proof-of-conceptsCLI, Streamlit, or VS Code Jupyterso stakeholders can touch the idea.

Write production-grade Python/TypeScript to orchestrate agents with AutoGen / CrewAI / SemanticKernel.

Hook agents to real systems (SAP BAPIs, Salesforce APIs, REST/GraphQL) and manage auth tokens secrets.

Build CI/CD (GitHubActions, Terraform, Helm) that auto-tests prompts, pushes Docker images, and provisions GPUs.

Instrument tracing (OpenTelemetry) and set up dashboards for tokens, latency, cost per call. Education

Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.

What we look forPeople with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful and able to sustain postivie energy, while being adaptable and creative in their approach.What we offerWith more than 200,000 clients, 300,000 people globally and 33,000 people in India, EY has become the strongest brand and the most attractive employer in our field, with market-leading growth over compete. Our people work side-by-side with market-leading entrepreneurs, game- changers, disruptors and visionaries. As an organisation, we are investing more time, technology and money, than ever before in skills and learning for our people. At EY, you will have a personalized Career Journey and also the chance to tap into the resources of our career frameworks to better know about your roles, skills and opportunities.EY is equally committed to being an inclusive employer and we strive to achieve the right balance for our people - enabling us to deliver excellent client service whilst allowing our people to build their career as well as focus on their wellbeing.If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.Join us in building a better working world. Apply now.

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