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Vacancy description

Salesforce Technical Lead ID87001 in भारत

AgileEngine

  • RemoteWork from anywhere
  • ContractFixed-term or freelance

भारत

We are looking for a Tech Lead to guide delivery across Salesforce and AI agent initiatives, with hands-on experience building agents on platforms like Claude and Agentforce. This person bridges business stakeholders and engineering teams, translating priorities into solid solution design. Strong project management and cross-functional communication round out the role.

The mandatory requirements are 6+ years of experience in software engineering or technical solution delivery, proven technical leadership, hands-on Salesforce experience, and experience building AI agents or intelligent automation solutions.

RECRUITMENT PROCESS

1. Application — Share a few details about your experience and background.

2. Coding Challenge — If applicable, complete it in the coding language you are most comfortable with.

3. Video Interview — Record a short video introduction in English.

4. Technical Interview or Hiring Manager Interview — Discuss your experience and fit for the role.

5. Offer — If it’s a match, you’ll receive an offer.

WHAT YOU’LL GAIN

• Remote work — Work from where you feel most productive.

• Local presence in India — Work in a structured and compliant environment aligned with Indian regulations.

• Competitive compensation in INR — Receive compensation in INR, plus support for learning, education, and wellness.

• Exciting projects — Work with modern technologies for global clients and fast-growing companies.

MUST HAVES

• 6+ years of experience in software engineering, platform engineering, or technical solution delivery.

• Proven experience in a Tech Lead, Technical Project Lead, or equivalent role .

• Strong project management and cross-functional delivery experience.

• Hands-on Salesforce experience, including platform capabilities, integrations, workflows, and enterprise use cases.

• Experience building or enabling AI agents, assistant workflows, or intelligent automation solutions.

• Familiarity with Claude, Agentforce , or comparable LLM and agent-building platforms.

• Strong understanding of solution architecture, systems integration, APIs, and enterprise application design.

• Excellent stakeholder communication, technical leadership, and problem-solving skills.

• Upper-intermediate English level.

NICE TO HAVES

• Experience across Salesforce development, administration, or solution architecture.

• Familiarity with prompt design, agent orchestration, grounding patterns, and AI workflow evaluation.

• Experience leading Agile delivery across engineering and business teams.

• Exposure to cloud platforms, data pipelines, analytics ecosystems, or workflow automation tooling.

• Salesforce certifications or relevant AI/platform certifications.

• Technical leadership.

• Project management.

• Salesforce platform.

• Agentforce.

• Claude.

• AI agent building.

• Solution architecture.

• APIs and integrations.

• Stakeholder management.

• Delivery execution.

WHAT YOU WILL DO

• Lead end-to-end technical delivery for projects spanning Salesforce, AI agent solutions, integrations, and enterprise workflows.

• Partner with business stakeholders, product managers, architects, and engineering teams to define scope, solution approach, priorities, and implementation plans.

• Design scalable technical solutions across Salesforce and related platforms, ensuring alignment with business requirements and long-term architecture goals.

• Provide hands-on technical leadership for agent-building initiatives using Claude, Agentforce, and related AI tooling.

• Guide the development of AI-enabled workflows, automation patterns, and user-facing agent experiences.

• Drive project execution by managing dependencies, technical risks, delivery milestones, and cross-team coordination.

• Review technical designs, code, configurations, and implementation approaches to ensure quality and maintainability.

• Mentor engineers and developers, support technical decision-making, and establish engineering best practices.

• Collaborate with data, product, and business teams to prioritize high-value use cases and operationalize solutions effectively.

• Ensure solutions meet standards for governance, security, reliability, and supportability.

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