Solution Engineering

Requirements :

We are seeking candidates with :

• We are looking for candidates with :
• 10+ years of experience in solution engineering, automation development, or enterprise system delivery.
• Proven ability to identify and develop automation opportunities by analysing business processes and data patterns, applying AI and analytics where valuable.
• Expertise in designing and implementing scalable automation solutions, with a strong curiosity for integrating emerging technologies like AI / GenAI
• Strong practical interest and familiarity with GenAI technologies (e.g., Azure OpenAI, LLMs) and a proven appetite for quickly learning and applying new AI capabilities to business problems.
• Hands-on experience with cloud platforms (preferably Azure) and integration frameworks for secure and connected systems. Knowledge of low-code platforms such as OutSystems, and Microsoft Azure services is an advantage.
• Proficiency in Python and C#, with experience developing REST APIs and backend services.
• Strong understanding of Zero Trust architecture and secure design principles for identity, access, and data protection.
• Awareness of AI risk management frameworks (e.g., NIST AI RMF, ISO / IEC 23894) and responsible technology use.
• Experience with CI / CD pipelines and DevOps practices for solution deployment and maintenance.
• Strong analytical and problem-solving skills, with the ability to design, troubleshoot, and optimize distributed systems.
• Excellent collaboration and communication skills across business, architecture, and platform teams.
• Bachelor’s or master’s degree in computer science, Information Systems, or related field.
• Demonstrated history of upskilling and adapting to new technology trends (e.g., certifications, personal projects, or contributions in nascent technology areas). A proactive, hands-on learning approach to AI / GenAI is essential.