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NTT Data

Global IT services and consulting provider.

Salesforce Architect

Implementation & Technical Account ManagementUpdated on Nov 14
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • Salesforce Agentforce and associated agentic architecture concepts.
  • Salesforce CPQ and Revenue Cloud Advanced / Revenue Lifecycle Management.
  • Salesforce Sales Cloud and core platform architecture.
  • Agent orchestration and tool/function calling.
  • Multi-agent architectures, delegation and coordination patterns.
  • Agent state, short/long-term memory and session/context management.
  • MCP and agent-to-agent interoperability concepts/patterns.
  • Retrieval-augmented generation, semantic/vector search, embeddings, chunking and retrieval optimization.
  • Context engineering beyond basic prompt engineering.
  • Evaluation frameworks and AI observability.
  • AI safety, grounding, guardrails and least-privilege action design.
  • Large language model selection and architectural trade-offs.
  • Classic natural language processing concepts including intent classification, entity extraction, semantic similarity and ranking.
  • Apex, Lightning Platform, Flow, application programming interfaces and enterprise integration patterns.
  • Strong understanding of asynchronous processing, transaction boundaries, resiliency, retries and idempotency.
  • Security architecture including sharing, create/read/update/delete and field-level security, permission models and data protection.

Responsibilities

  • Own end-to-end solution architecture across Agentforce, Salesforce CPQ and Revenue Cloud Advanced.
  • Architect agent-assisted and agentic workflows across opportunity, configuration, pricing, quoting, contracting, ordering and revenue lifecycle processes.
  • Design agent orchestration patterns, including tool/function calling, workflow delegation, multi-agent patterns, state management and memory.
  • Architect integration of Agentforce with Salesforce automation, Apex, Flow, APIs, MuleSoft and external enterprise services.
  • Define appropriate use of large language models, deterministic logic, workflow engines and traditional automation, rather than defaulting all use cases to generative AI.
  • Design context engineering and retrieval strategies, including structured/unstructured grounding, retrieval depth, metadata filtering and relevance optimization.
  • Establish secure agent action patterns using least-privilege access, guardrails, validation, approval checkpoints and human-in-the-loop mechanisms.
  • Define AI evaluation frameworks covering answer quality, grounding, hallucination, task completion, tool selection, latency and business outcomes.
  • Establish observability across agent reasoning paths, actions, integration failures, token/credit consumption and operational performance.
  • Assess model and platform trade-offs across quality, latency, context window, cost, privacy and enterprise constraints.
  • Architect resilient action layers and transactional integration patterns for revenue processes where consistency and recoverability are critical.
  • Advise programs on consumption-based economics, AI credit/token optimization and architectural approaches to control run-time cost.
  • Lead architecture reviews, design authorities and technical governance across global delivery teams.
  • Mentor technical architects, developers and Agentforce specialists.

Desired Qualifications

  • 15+ years overall technology experience; 10+ years in Salesforce CPQ / Revenue Cloud architecture.
  • Proven experience architecting enterprise CPQ / Quote-to-Cash implementations.
  • Salesforce Application/System/Technical Architect credentials are strongly preferred.
  • Agentforce and Revenue Cloud-related certifications or demonstrable implementation experience.
  • Experience with MuleSoft and large enterprise integration landscapes.
  • Ability to communicate architectural decisions to both engineering teams and senior business stakeholders.

About the Company

NTT Data

Global IT services and consulting provider.

NTT DATA is a global IT and business services provider that helps organizations run and transform their technology and operations. It delivers consulting, industry solutions, cloud migration, cybersecurity, data analytics, and managed services to modernize systems and processes. It differentiates itself through its large scale, deep sector expertise in banking, healthcare, manufacturing, public sector, and automotive, and its broad ecosystem of partners with Microsoft, SAP, AWS, and Salesforce. Its goal is to help large enterprises digitally transform and optimize operations at scale using cloud-native approaches and secure IT environments.

Company size
10,001+
Company stage
IPO
Headquarters
Tokyo, Japan
Founded
1988

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