Job Title : Salesforce Solution Architect - AI, Agentforce & Data Cloud

Location : Gurgaon / Gurugram

Work Mode : Hybrid WFO

Experience : 8 - 12 Years

Employment : Full-Time

Key Responsibilities :

1.

Solution Architecture :

- Own end-to-end solution architecture across multi-cloud Salesforce implementations - Sales, Service, Marketing, Data Cloud, and Agentforce.
- Lead client solution design sessions, translating business requirements into scalable, future-proof architectures.
- Define integration patterns, data models, security architecture, and governance frameworks.
- Conduct org health checks, technical assessments, and architecture reviews across client accounts.

2.

Presales :

- Own the full presales cycle - discovery, solutioning, proposals, and client presentations.
- Lead RFP/RFI responses and deliver compelling solution demos and proof-of-concepts.
- Translate complex architectures into explicit business value narratives for CXO audiences.
- Represent the company at client meetings, industry events, and Salesforce partner forums.

3. Centre of Excellence (CoE) :

- Build and lead Salesforce AI CoE - standards, frameworks, reusable assets, and accelerators.
- Define delivery methodology, architectural governance, and solution quality benchmarks.
- Drive internal enablement - upskilling teams on new Salesforce capabilities and AI tools.
- Contribute to thought leadership - whitepapers, webinars, and industry positioning.

4. AI & Agentforce :

- Lead design and delivery of Agentforce-powered solutions - autonomous agents, orchestration, and human-in-the-loop frameworks.




- Architect AI-first Salesforce solutions - Einstein, LLM workflows, predictive analytics, and AI governance.
- Stay ahead of the Salesforce AI roadmap - bring emerging capabilities into the practice first.
- Guide clients from AI use case identification through to production deployment.

5.

Data Cloud :

- Architect and deliver Data Cloud implementations - unified profiles, data streams, identity resolution, and real-time segmentation.
- Guide clients on data governance, privacy compliance, and data quality management.
- Design data ingestion pipelines, activation strategies, and cross-cloud data sharing frameworks.

6. Team Leadership & Mentorship :

- Mentor architects, developers, and consultants across the delivery team.
- Set the technical bar - be the go-to person when the hardest questions need answering.
- Contribute to technical hiring and actively shape the practice growth strategy.

Required Experience &

Skills :

- 8 - 12 years in the Salesforce ecosystem; 3 - 4 years in an architecture or senior technical leadership role at a Salesforce SI or ISV partner firm.
- Proven end-to-end multi-cloud solution architecture experience - Sales, Service, Marketing, Data Cloud, and Agentforce.




- Confident CXO-level communicator - equally fluent with engineers and business leaders.
- Experience leading or contributing to a Centre of Excellence or practice development initiative.
- Strong integration architecture knowledge - REST/SOAP, event-driven architecture, MuleSoft, and middleware platforms.
- Proven player-coach - able to architect solutions while leading and mentoring a team simultaneously.
- Hands-on Agentforce expertise - agent design, orchestration, and enterprise deployment.
- Strong Data Cloud proficiency - unified profiles, data streams, identity resolution, activation, and cross-cloud integration.
- Deep AI/ML knowledge within Salesforce - Einstein, LLM integration, predictive models, and AI governance.
- Demonstrated end-to-end presales ownership - RFPs, solution demos, client presentations, and proposal development.

Preferred Qualification :

- Familiarity with Salesforce Partner Program and AppExchange ecosystem.
- Experience building CoE frameworks, delivery playbooks, or reusable accelerators.
- Experience with external AI platforms - OpenAI, Anthropic, or Google Vertex AI - integrated with Salesforce.
- Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field (or equivalent demonstrated expertise).
- Background in revenue operations, GTM strategy, or CRM transformation at enterprise scale.
- Certifications : Salesforce Certified Application Architect, Salesforce Certified System Architect, Salesforce Data Cloud Consultant, Salesforce AI Specialist, Salesforce.

📌 Salesforce Solution Architect - Agentforce & Data Cloud (India)
🏢 Hy: Tech u0026 Consulting
📍 India