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AI Summary

Lead end-to-end technical delivery for projects involving Salesforce, AI agent solutions, and enterprise workflows. Partner with stakeholders and engineering teams to define solution architecture, implementation plans, and project milestones.

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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