Job Description
This is not a typical engineering or architect role. We re looking for a rare combination - someone who is deeply technical in both Salesforce and AI, commercially aware, and ready to grow into a leadership position that spans PreSales and CoE level influence at Infoglen.
You ll define how we build AI-powered Salesforce solutions, set the engineering bar for the entire technical team, and be the person clients and internal stakeholders trust when the hardest questions need answering. If you re someone who thinks in systems, leads with conviction, and wants to shape the future of an AI-first Salesforce practice - this role was built for you.
- Own Infoglen s long-term AI and Salesforce platform architecture strategy
- Set engineering standards - quality, scalability, reliability, and governance across delivery
- Lead architectural decisions that ensure what s built today scales tomorrow
- Design and deliver scalable AI/ML solutions - LLM-powered apps, real-time intelligence, and AI agent frameworks
- Build and govern data pipelines, event-driven architectures, and AI evaluation frameworks
- Ensure AI outputs are accurate, auditable, and trustworthy - not just functional
- Be the senior Salesforce technical authority across multi-cloud - Sales, Service, Marketing, Data Cloud, and integrations
- Guide teams on complex architecture, customizations, and integration patterns
- Lead org health checks, assessments, and technical debt resolution
- Partner with Account Managers on solutioning, demos, and proposals
- Translate AI and Salesforce capabilities into business value for CXO audiences
- Contribute to CoE - building reusable accelerators and frameworks that differentiate Infoglen
- Mentor the technical team - set the standard others aspire to
- Collaborate on technical hiring - assess talent across Salesforce and AI
- Actively shape Infoglen s technical roadmap and practice growth
- 7+ years of engineering experience owning enterprise-scale architectures
- Hands-on AI/ML expertise - LLM applications, AI governance, real-time systems
- Strong Salesforce technical depth across multiple clouds
- Proficiency in Python, AWS, PostgreSQL, and event-driven architectures
- Systems-thinking mindset - balances speed, scale, and maintainability
- Equally fluent with engineers and C-suite stakeholders
- Background at a Salesforce SI, ISV, or AI product company
- Salesforce certifications - Architect, AI Specialist, Sales/Service/Data Cloud
- CRM, Revenue Operations, or GTM platform experience
- PreSales or technical consulting background
- Experience building auditable, trusted AI systems at scale
- Data governance and monitoring framework expertise
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