Senior Application Architect

About the role

Trianz is a "Services as Software" technology transformation company behind the CONCIERTO unified multi-cloud platform, serving 80+ enterprise customers across 19 countries and 15 industries. As Senior Application Architect you will be the technical leader working alongside enterprise account executives to qualify opportunities, demonstrate CONCIERTO capabilities, design transformation approaches and secure technical wins.

Key responsibilities

• Lead technical discovery sessions to understand the customer's infrastructure, application portfolio, data estate and transformation drivers, and assess technical fit and deal risks early
• Map customer requirements to CONCIERTO capabilities across MIGRATE, MODERNIZE, MANAGE, MAXIMIZE and INSIGHTS & AGENTIC AI
• Deliver platform demonstrations tailored to customer use cases and personas (CIO, CTO, Infrastructure Leaders, Application Owners, Data Leaders)
• Design holistic transformation approaches and build ROI models and business cases
• Present to CIO/CTO audiences, lead proof-of-concept engagements and pilots, and author technical proposals, SOWs and pricing models
• Handle objections, navigate competition and secure the technical selection, then coordinate with cloud provider account teams and hand off cleanly to delivery teams

Required profile

• 10+ years in enterprise technology roles, including at least 5 years in pre-sales, solutions architecture or technical consulting
• Proven track record in complex enterprise sales cycles with measurable technical win rates
• Executive presentation skills with CIO/CTO audiences
• Experience with migration, modernization or cloud transformation programs at enterprise scale
• Preferred: background in platform or SaaS pre-sales, and experience with automation tools, IaC (Terraform, CloudFormation) or DevOps practices

Required skills

• Fluency across multiple cloud platforms (AWS, Azure, GCP); certifications valued but not required
• Demonstrated experience across infrastructure, applications and data domains
• Preferred: understanding of AI/ML concepts and emerging agentic AI architectures