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.