Principal AI Solution Architect
Skills
Computer ScienceSoftware As A ServiceAdoptionContextCustomer SuccessIT StrategySales
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 7+ years in a customer-facing technical role such as Solution Architect Enterprise Architect Solutions Engineer Sales Engineer or similar
- Strong experience with enterprise customers in complex software environments
- Proven ability to design scalable solution architectures that connect business problems to technical implementations
- Hands-on technical fluency with APIs integrations data flows workflow systems and enterprise software architectures
- Experience with AI/ML systems including LLM-based applications orchestration RAG automation workflows or adjacent applied AI use cases
- Demonstrated ability to lead proofs of concept technical validations or pilot programs for enterprise customers
- Ability to communicate effectively with senior executives and highly technical stakeholders
- Strong judgment balancing technical ambition customer reality delivery feasibility and commercial context
- Experience building reusable frameworks playbooks or standards for customer-facing technical teams
- Bachelor’s or Master’s degree in Computer Science Engineering or equivalent practical experience
Nice to have
- Systems thinker
- Calm under pressure
- Technical quality focus
- Pragmatic
- Mentoring mindset
- Structured
- Proactive
Day to day
- Lead the technical customer journey for global enterprise accounts and act as the primary technical counterpart across the customer lifecycle.
- Translate complex business problems into scalable solution architectures using agentic workflows AI automation and enterprise deployment patterns.
- Shape proofs of concept pilots and production rollouts with clear validation criteria measurable benchmarks and repeatable technical standards.