Job Openings
AI Solutions Architect
About the job AI Solutions Architect
Technical Enablement
- Design and deliver technical workshops, onboarding sessions, and training programs for developers, architects, and engineering leaders
- Guide customers on AI-assisted coding, prompt engineering, code generation, debugging, testing, and refactoring techniques
- Develop enablement materials, best practices, technical guides, and documentation
- Support organizations in adopting AI-powered development workflows and engineering practices
Customer Success & Consulting
- Partner with enterprise customers to understand business and technical requirements
- Provide technical consulting and recommendations for integrating AI-assisted development tools into existing engineering workflows
- Support pilot implementations, proof-of-concepts, and enterprise rollouts
- Troubleshoot technical issues and provide guidance on platform usage and optimization
- Help customers achieve measurable improvements in developer productivity and software quality
Product Feedback & Continuous Improvement
- Act as the primary liaison between customers and internal product teams
- Gather customer feedback, identify product enhancement opportunities, and communicate market needs
- Drive customer adoption and long-term success through continuous engagement and enablement
- Create knowledge-sharing resources and self-service materials to improve customer independence
Stakeholder Management
- Collaborate with engineering leaders, architects, product teams, and business stakeholders
- Present technical concepts and business value propositions to both technical and non-technical audiences
- Build trusted relationships with enterprise customers and strategic partners
Requirements
- Bachelor's Degree in Computer Science, Software Engineering, Information Technology, or a related field
- Around 10 years of experience in Software Engineering, Solutions Consulting, Developer Enablement, Technical Consulting, or related roles
- Strong hands-on development experience in technologies such as Java, .NET, JavaScript, React, Angular, Python, or similar stacks
- Strong understanding of software architecture, microservices, REST APIs, CI/CD pipelines, and Git-based workflows
- Experience working with AI-assisted development tools and prompt engineering concepts
- Excellent communication, presentation, facilitation, and stakeholder management skills
- Ability to engage effectively with both technical and business audiences
- Willingness to travel as required
Preferred Skills
- Experience delivering technical workshops, bootcamps, or enterprise training programs
- Background in Solution Architecture, Platform Consulting, Developer Advocacy, or Customer Success Engineering
- Experience supporting enterprise software implementations and digital transformation initiatives
- Understanding of modern AI technologies, Generative AI, and Large Language Models (LLMs)
- Experience working with global customers and distributed teams