Salesforce CPQ Architect

NTT DATA, Inc.; Bengaluru Urban; Hybrid; INR 3,500,000 - 6,000,000; Full time

Benefits offered by this job

Remote or hybrid options

Job summary

NTT DATA is seeking a Salesforce CPQ Architect in Bengaluru, India, to own end-to-end solution architecture across Salesforce CPQ, Revenue Cloud Advanced, and相关 integration patterns. The role focuses on architecting agent-based workflows, tool calling, and secure, scalable revenue lifecycle processes.

You will design agent orchestration, state management, memory, and context engineering, while guiding governance and architecture reviews across global delivery teams.

Qualifications

• Deep expertise in Salesforce CPQ and Revenue Cloud Advanced.
• Experience with agent-based architectures and orchestration patterns.
• Strong understanding of security, data protection, and governance in enterprise integrations.

Responsibilities

• Own end-to-end solution architecture across Salesforce CPQ and Revenue Cloud.
• Design and implement multi-agent workflows across opportunity, pricing, quoting, and revenue lifecycles.
• Architect integration of Agentforce with Salesforce tools, APIs, and external services.
• Define use of LLMs and deterministic logic, avoiding over-reliance on generative AI.
• Establish observability into agent reasoning, actions, and integration health.
• Mentor architects and developers on scalable, cost-aware architectures.

Skills

Salesforce CPQ

Revenue Cloud

Sales Cloud

Agent orchestration

MuleSoft

Apex

Security architecture

LLM grounding

Context engineering

Architecture governance

Tools

APIs

Job description

We are currently seeking a Salesforce CPQ Architect to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

Key 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 run-time cost.
• Lead architecture reviews, design authorities and technical governance across global delivery teams.
• Mentor technical architects, developers and Agentforce specialists.

Required Technical Expertise

• 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.
• RAG, 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.
• LLM model selection and architectural trade-offs.
• Classic NLP concepts including intent classification, entity extraction, semantic similarity and ranking.
• Apex, Lightning Platform, Flow, APIs and enterprise integration patterns.
• Strong understanding of asynchronous processing, transaction boundaries, resiliency, retries and idempotency.
• Security architecture including sharing, CRUD/FLS, permission models and data protection.

Preferred 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 strongly preferred.
• Agentforce and Revenue Cloud-related certifications or demonstrable implementation experience.
• Experience with MuleSoft and large enterprise integration landscapes preferred.
• Ability to communicate architectural decisions to both engineering teams and senior business stakeholders.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us.

NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.