Senior Solutions Architect

Role Overview

Solutions Architect at Microsage AI

• , you will operate across both
• technical pre-sales and post-sales
• , acting as a trusted advisor to customers adopting AI-driven solutions for field operations and real-world workflows.
• You will help organizations design, implement, and scale
• AI-powered systems that bring visibility, accuracy, and efficiency to on-ground activities
• .
• In pre-sales, you will:
• Qualify technical and operational fit
• Design future-state AI architectures
• Lead evaluations and demonstrate measurable outcomes
• Post-sale, you will:
• Drive successful implementation and adoption
• Guide customers in standardizing workflows using Microsage AI
• Ensure long-term success through continuous optimization
• You will act as the
• technical quarterback
• , aligning internal teams and customer stakeholders to ensure seamless execution and sustained value.

What You Will Do

• Partner with Sales to lead
• technical discovery
• , understand operational workflows, and shape solution strategies for key opportunities
• Design
• AI-powered architectures
• for field workflows, including:
• Activity tracking and validation systems
• Workflow automation pipelines
• Data capture and verification layers
• Reporting and analytics infrastructure
• Deliver
• tailored demos, technical presentations, and workshops
• that clearly communicate the value of Microsage AI in solving real-world operational challenges
• Own and execute
• proofs of concept (POCs)
• end-to-end:
• Define success criteria (accuracy, efficiency, adoption)
• Guide implementation
• Remove technical blockers
• Present measurable outcomes to stakeholders
• Act as
• lead architect post-sale
• , driving:
• Onboarding and rollout strategies
• Integration with existing systems (CRMs, internal tools, APIs)
• Best practices for scaling usage across teams
• Proactively work with customers to improve:
• Data reliability and integrity
• Workflow efficiency
• System adoption and usage consistency
• Collaborate internally to build
• standardized playbooks, reusable components, and deployment patterns
• that scale across customers
• Support
• security, compliance, and architecture reviews
• , especially for systems handling sensitive operational data
• Act as the
• Voice of the Customer
• , feeding insights into product and engineering:
• Feature gaps
• Misuse patterns
• Opportunities for automation and intelligence
• Contribute to
• internal enablement and external content
• :
• Reference architectures
• Use case documentation
• Thought leadership around AI in field operations
• Participate in
• customer meetings, workshops, and occasional on-site engagements

About You

• Experience in a
• customer-facing technical role
• (Solutions Architect, Sales Engineer, Product Engineer, or similar)
• Strong understanding of:
• SaaS platforms
• AI/automation systems
• APIs and integrations
• Data systems and analytics
• Ability to translate
• complex operational problems into scalable AI-driven solutions
• Comfortable engaging across levels:
• Business stakeholders (outcomes, ROI)
• Technical teams (implementation, architecture)
• Proven ability to
• own end-to-end technical engagements
• in fast-moving environments
• Strong communication skills with the ability to simplify complex systems into
• clear, actionable insights
• Familiarity with cloud platforms (AWS, Azure, GCP) and modern software architectures

Bonus If You

• Have experience building or deploying
• AI-powered workflows or automation systems
• Have worked on systems involving:
• Data validation and tracking
• Process optimization
• Real-time or near real-time analytics
• Have integrated with:
• CRM systems
• Internal enterprise tools
• Communication or data capture platforms
• Have experience with
• LLMs, AI agents, or intelligent automation frameworks
• Have participated in
• security or compliance reviews