Role: Senior Principal Engineer

Location: India, Remote

Experience: 10-15 Years

Role overview

We are looking for an experienced Salesforce Agentforce Architect to lead the design, architecture and implementation of AI-powered Salesforce solutions using Salesforce Agentforce. The ideal candidate should possess deep expertise in the Salesforce ecosystem along with hands-on experience designing and implementing Agentic AI solutions leveraging Salesforce Agentforce, Data Cloud, Einstein AI and related technologies. This is a client-facing architecture role requiring strong communication skills, solution consulting experience and the ability to work directly with global stakeholders.

Key responsibilities

- Lead end-to-end architecture and implementation of Salesforce Agentforce solutions.
- Design scalable Agentic AI solutions using Salesforce Agentforce for customer service, sales, operations and business process automation.
- Define AI agent architecture, orchestration, grounding strategies, prompt design, guardrails and governance.
- Architect integrations between Agentforce and Salesforce Clouds, external applications, APIs, enterprise systems and third-party AI services.
- Design and implement solutions using Salesforce Data Cloud to enable contextual and grounded AI experiences.
- Collaborate with business stakeholders to identify automation opportunities and define AI use cases.
- Conduct discovery workshops and translate business requirements into scalable technical solutions.
- Guide development teams on best practices, architecture standards and implementation approaches.
- Ensure security, compliance, scalability and performance across Agentforce implementations.
- Participate in solution estimations, architecture reviews,



technical proposals and client presentations.
- Stay updated with the latest Salesforce AI, Agentforce and Agentic AI capabilities and recommend adoption strategies.

Required skills and qualifications

Salesforce expertise

- 10+ years of Salesforce implementation experience.
- Deep expertise across Salesforce platform including:
- Sales Cloud
- Service Cloud
- Experience Cloud
- Data Cloud
- Flow Automation
- Apex
- Lightning Web Components
- Integrations (REST/SOAP APIs)

- Robust understanding of enterprise architecture and integration patterns.

Agentforce and AI expertise

- Hands-on experience implementing Salesforce Agentforce in production environments.
- Experience designing and deploying multiple Agentforce implementations.
- Strong understanding of Agentic AI architecture, including:
- AI Agent orchestration
- Prompt engineering
- Grounding strategies
- Knowledge retrieval (RAG concepts)
- AI guardrails
- Memory and context management
- Multi-agent workflows

- Experience integrating Agentforce with Data Cloud, Knowledge, CRM data and external systems.
- Knowledge of Salesforce Einstein AI capabilities and AI governance.

Certification (Mandatory)

- Salesforce Agentforce Specialist Certification (Mandatory)
- Salesforce AI-related Certifications (Preferred)




- Salesforce Application Architect or System Architect (Preferred)
- Salesforce Certified Administrator (Preferred)
- Salesforce Platform Developer Certification (Preferred)

Must have skills

- Successfully delivered multiple Salesforce implementation projects.
- Successfully implemented at least 2-3 Salesforce Agentforce projects in production.
- Experience working directly with enterprise customers.
- Experience leading architecture discussions and technical workshops.
- Experience with Agile/Scrum delivery methodologies.

Good to have skills

- Experience with enterprise AI transformation initiatives.
- Exposure to Large Language Models and AI integration patterns.
- Experience with Retrieval-Augmented Generation RAG vector search and semantic search concepts.
- Familiarity with Salesforce DevOps tools such as Copado, Gearset, AutoRABIT, or Git-based CI/CD pipelines.
- Experience working with Data Cloud, MuleSoft, Slack and Salesforce ecosystem integrations.

Desired attributes

- Excellent verbal and written communication skills.
- Strong client-facing consulting experience.
- Ability to present architecture and AI strategy to senior stakeholders.
- Strong analytical and problem-solving abilities.
- Ability to mentor technical teams and drive technical excellence.
- Self-driven with the ability to work independently in a remote environment.

Work schedule

- Must be available to work overlapping with the US Eastern Time Zone.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Principal Engineer (Noida)
🏢 Algoworks
📍 Noida