- Experience
- 11+ yrs
- Salary
- —
- Openings
- 1
- Posted
- 2 weeks ago
- Work mode
- In office
- Resume
- Required to apply
Where you'll work
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Job description
Role Overview
We are looking for a seasoned Enterprise Solution Architect to spearhead our enterprise architecture initiatives, oversee technical delivery, and champion AI-driven innovation. The ideal candidate will bring a balance of deep software development capabilities, effective leadership, and sophisticated stakeholder engagement to ensure delivery of robust, secure, and strategically aligned technology solutions.
Key Responsibilities
- Establish enterprise architecture strategies and design technology solutions that are scalable, secure, and resilient.
- Lead the design and deployment of solutions spanning applications, APIs, cloud infrastructure, system integrations, and AI-empowered technologies.
- Offer technical guidance in software engineering with a strong focus on Python and JavaScript.
- Manage and accelerate AI implementations from pilot phases to full production.
- Provide leadership and mentorship to technical teams, cultivating engineering excellence and promoting ongoing improvement.
- Collaborate closely with senior leadership to convert business needs into practical technical solutions.
- Maintain adherence to enterprise standards concerning solution performance, security, reliability, and scalability.
Candidate Requirements
- Over 12 years of experience in software engineering, solution architecture, or related enterprise technology fields.
- At least 5 years in leadership positions involving people management.
- Extensive hands-on programming experience in Python and JavaScript.
- Demonstrated expertise in deploying and managing AI-driven solutions in operational environments.
- Deep knowledge of enterprise architecture principles, API design, cloud services, system integration, and distributed system design.
- Strong communication, stakeholder engagement, and influencing abilities.
- Track record of leading technical teams and navigating complex, cross-departmental projects.
Preferred Background
- Experience in aviation sectors such as airlines, airports, transportation, logistics, or large-scale customer service operations.
- Familiarity with generative AI technologies, large language models, conversational AI platforms, and enterprise automation tools.
- Background in designing and managing mission-critical, high-traffic digital platforms.