Solution Engineering

At Chain IQ, your ideas move fast.

Responsibilities

Key Responsibilities

• Solution Design & Delivery
• Design and develop secure, scalable, and modular solutions that enable automation and process optimization.
• Build and maintain workflow-driven systems to streamline operations and improve efficiency.
• Develop proofs of concept (POCs) to test new technologies and validate automation approaches.
• Ensure all designs comply with Zero Trust principles, secure identity management, and data protection standards.
• Applied AI & Automation Enablement
• Apply AI and GenAI capabilities to enhance automation, analytics, and decision-support workflows.
• Integrate data-driven intelligence into automation solutions to support smarter decision-making.
• Collaborate with architects and product teams to deliver governed, secure, and production-ready automation solutions.
• Governance, Security & Collaboration
• Apply AI risk management frameworks (e.g., NIST AI RMF, ISO/IEC 23894) to ensure responsible and transparent use of automation.
• Maintain compliance with enterprise security and governance standards (SOC 2, GDPR, RBAC).
• Produce and maintain solution documentation, including technical designs and operational procedures.
• Partner with business, data, and platform teams to translate requirements into robust, maintainable solutions.
  

Requirements

• 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.
  

Join a truly global team.

Chain IQ – Create. Lead. Make an impact.