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NTT Data

Global IT services and consulting provider.

Salesforce Architect

Technology & Systems ConsultingConfirmed live in the last 24 hours
Full-timeKarnataka, IndiaNo salary listed

About the Job

Requirements

  • Expertise in Salesforce Agentforce and associated agentic architecture concepts.
  • Expertise in Salesforce CPQ and Revenue Cloud Advanced or Revenue Lifecycle Management.
  • Expertise in Salesforce Sales Cloud and core platform architecture.
  • Expertise in agent orchestration and tool/function calling.
  • Expertise in multi-agent architectures, delegation, and coordination patterns.
  • Expertise in agent state, short- and long-term memory, and session/context management.
  • Knowledge of MCP and agent-to-agent interoperability concepts and patterns.
  • Expertise in retrieval-augmented generation, semantic/vector search, embeddings, chunking, and retrieval optimization.
  • Expertise in context engineering beyond basic prompt engineering.
  • Expertise in evaluation frameworks and AI observability.
  • Expertise in AI safety, grounding, guardrails, and least-privilege action design.
  • Expertise in LLM model selection and architectural trade-offs.
  • Knowledge of classic natural language processing concepts, including intent classification, entity extraction, semantic similarity, and ranking.
  • Expertise in Apex, Lightning Platform, Flow, APIs, and enterprise integration patterns.
  • Strong understanding of asynchronous processing, transaction boundaries, resiliency, retries, and idempotency.
  • Expertise in security architecture, including sharing, CRUD/FLS, permission models, and data protection.
  • 15+ years of overall technology experience and 10+ years in Salesforce CPQ or Revenue Cloud architecture.
  • Salesforce Application, System, or Technical Architect credentials are strongly preferred.
  • Agentforce and Revenue Cloud-related certifications or demonstrable implementation experience.

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 LLMs, 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 runtime cost.
  • Lead architecture reviews, design authorities, and technical governance across global delivery teams.
  • Mentor technical architects, developers, and Agentforce specialists.

Desired Qualifications

  • Proven experience architecting enterprise CPQ or Quote-to-Cash implementations.
  • Experience with MuleSoft and large enterprise integration landscapes.
  • Ability to communicate architectural decisions to 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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