Senior Technical Lead – Salesforce ...

About the Role

This position requires a rare combination: deep expertise in both Salesforce and Artificial Intelligence, commercial awareness, and readiness to lead into PreSales and CoE roles. You will define AI-powered solution architecture for Infoglen, set engineering standards for quality and scalability, and serve as the trusted authority for clients on complex technical questions.

Key Responsibilities

• Own long-term AI and Salesforce platform architecture strategy.
• Set engineering standards ensuring scalability, reliability, and governance across delivery teams.
• Makes architectural decisions that ensure current solutions scale for future growth.

• Design and deliver scalable AI/ML solutions including LLM-powered applications, real-time intelligence, and agent frameworks.
• Build and govern data pipelines, event-driven architectures, and evaluation frameworks for AI systems.
• Ensure all AI outputs are accurate, auditable, trustworthy, and production-ready.

• Act as the senior technical authority across multi-cloud (Sales, Service, Marketing, Data Cloud) integrations.
• Guide teams on complex architecture patterns and customizations.
• Lead org health checks to resolve technical debt.

• Partner with Account Managers for solutioning, demos, and proposals.
• Translate AI/Salesforce capabilities into business value for C-suite audiences.
• Contribute to the Center of Excellence (CoE) by building reusable accelerators.

• Mentor technical teams and set high-performance standards.
• Collaborate on hiring assessments for Salesforce and AI talent.
• Shape Infoglen's technical roadmap and practice growth.

What You Bring

• 7+ years of engineering experience owning enterprise-scale architectures.
• Hands-on AI/ML expertise: LLM apps, governance, real-time systems.
• Strong technical depth across multiple Salesforce clouds.
• Proficiency in Python, AWS, PostgreSQL, and event-driven designs.
• A systemic mindset balancing speed, scale, and maintainability.
• The ability to communicate fluently with both engineers and C-suite stakeholders.
• Background at a Salesforce SI, ISV, or AI product company preferred.

• Salesforce certifications (Architect, AI Specialist, Data Cloud).
• CX Operations or GTM platform experience.
• PreSales/consulting background and auditable AI system building expertise.