• Define and execute application modernization strategies for legacy platforms and user experiences. • Design and promote API-first, microservices-first, and event-driven architectures. • Provide architectural direction and mentorship to Team Leads and engineering squads. • Evaluate existing systems to build migration strategies, risk assessments, and target architectures. • Collaborate with clients and business leaders; confidently present proposals and negotiate technical approaches with challenging stakeholders. • Establish and promote enterprise-wide architecture standards, best practices, and governance processes. • Support integration initiatives involving legacy ESBs and modern integration platforms.

Role Description We are seeking an AI Solution Architect to translate complex banking business needs into scalable, secure enterprise AI system blueprints. This role owns end-to-end technical delivery — from high-level design through production deployment — while ensuring every solution aligns with the demands of a highly regulated financial IT landscape. Key Responsibilities - Design high-level and low-level architectures for banking AI applications - Securely integrate modern AI applications with core banking systems and databases - Evaluate and select optimal LLMs, vector stores, and machine learning platforms - Ensure enterprise-grade high availability, low latency, and system scalability - Embed financial regulatory compliance, risk mitigation, and data privacy into every design decision - Partner with engineering, security, and platform teams through the full delivery lifecycle Qualifications - 8+ years in enterprise IT, including 3+ years architecting AI solutions specifically within banking/financial services - Hands-on experience with AI & data platforms: DataRobot, SAS Enterprise Guide, and open-source LLM frameworks - Strong grounding in architecture patterns: microservices, API gateways, event-driven architecture, secure banking cloud landing zones - CI/CD & MLOps proficiency: GitLab CI/CD, Docker, Kubernetes, MLflow, automated model testing frameworks - Advanced Python skills — Pandas, NumPy, Matplotlib, Seaborn, LangChain, LlamaIndex - Strong communication skills to translate technical architecture into business-relevant terms for stakeholders Benefits - Architect enterprise-scale AI solutions inside a live banking transformation program - Own technical decisions from blueprint to production — real build authority, not just advisory - Work at the intersection of cutting-edge AI and strict financial-sector compliance - Be part of a forward-looking organization driving AI-led transformation in the region Disclaimer CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, and performance. Female and minorities are strongly encouraged and preferred to apply for the role.

Role Description As the Solution Architect, your primary focus will be solution designs for the ZIGUP group businesses using the Group Architecture building blocks. You will work with the business to understand the requirements for a technology solution, calling on our Engagement, Applications, Data, and Security areas to ensure that a proposed solution meets the business requirement and can be executed upon. - Work closely with other technology peers within the architect and engineering space. - Ensure solutions deliver business value. - Technically lead assigned projects. - Provide infrastructure designs for business solutions delivered through change services. - Articulate technology areas at a business level. Qualifications - 3-5+ years of demonstrable experience working in a solution and design function for a large and complex business group. - Ability to produce articulate and accurate proposals and recommendations. - High level of trust and confidence to build excellent relationships with businesses. - Strong customer service orientation. - Extensive knowledge and experience working with Microsoft Office 365 cloud services, Identity Services, and Security platforms. - Proven development of robust delivery frameworks ensuring effective service provision while maintaining data safety standards. Benefits - Salary: Up to £72,500 per annum depending on experience. - Annual Leave: Start with 24 days, increasing to 26 days with service, plus the flexibility to buy or sell up to 5 extra days each year, public holidays, and an extra day off for your birthday. - Pension: Employer contributions of 5%. - Financial Benefits: Free life assurance, save-as-you-earn scheme, colleague referral scheme (£1,000 per referral), and Benefits App with discounts and cashback at top retailers. - Wellbeing & Lifestyle Services: Access to a colleague assistance programme with 24/7 GP service, mental health support, physiotherapy, cycle to work, eyecare vouchers, Health Cash Plan, Dental Plan, and Travel Insurance. - Professional Development: Access to thousands of courses, skill tests, and learning paths through Pluralsight. - Motoring Benefits: Exclusive colleague vehicle-leasing schemes, discounted repairs, and reduced rates on weekend car and van hires. - Stream: A free financial wellbeing app for more control over pay, savings, financial advice, and shopping discounts.

Role Description The Databricks Lead/Architecture role involves the following responsibilities: - Architecture & Design: - Define and design end-to-end data Lakehouse architecture leveraging Databricks, Delta Lake, and cloud-native services. - Create reference architectures for batch, real-time, and streaming data pipelines. - Architect data ingestion, curation, storage, and governance frameworks. - Ensure the platform is scalable, secure, and optimized for performance and cost. - Establish standards for data lineage, metadata management, and compliance. - Work with enterprise architects to align Databricks solutions with the overall cloud strategy (AWS). - Leadership & Delivery: - Lead and mentor a team of data engineers in building robust data pipelines. - Collaborate with data scientists, BI teams, and business stakeholders to enable advanced analytics and AI/ML use cases. - Drive adoption of DevOps and CI/CD practices for data engineering. - Review designs and solutions to ensure adherence to architectural principles. - Implementation & Optimization: - Build, optimize, and manage large-scale PySpark/SQL pipelines in Databricks. - Enable real-time data processing through Kafka, Kinesis, or Event Hubs. - Implement security best practices, including RBAC, data masking, and encryption. Qualifications - Proven experience in data architecture and engineering. - Strong knowledge of Databricks, Delta Lake, and cloud-native services. - Experience with data ingestion, curation, storage, and governance frameworks. - Familiarity with DevOps and CI/CD practices. - Experience in leading and mentoring teams. Requirements - Ability to work remotely with occasional travel to Washington, DC. - Long-term commitment to the role. Benefits - Flexible remote work options. - Opportunities for professional development and growth. - Collaborative work environment.