AI Architect

1 day ago

Glasgow, United Kingdom Synechron Full time

We’re Synechron, a global consultancy laser-focused on accelerating digital initiatives in financial services. With over 14,500 members of staff across 17 countries and a unique mix of end-to-end digital, business and technology services, we help clients solve complex challenges with modern and innovative solutions.


We're big enough to be taken seriously, yet small enough to operate with an agile, open, relationship-driven approach. Our clients come to us with problems that need genuine thought, intelligence and knowledge; we're not just putting bodies on seats.


We are currently looking for an AI Architect to join one of our key clients Enterprise Architecture delivery team in Glasgow. This role focuses on build AI Architect empowering architects and developers in making informed, data-driven decisions, automating repetitive architecture tasks, and streamlining documentation workflows.


Key Responsibilities:

  • Design, develop, and implement a scalable, AI-driven architecture platform.
  • Work closely with architects and data scientists to embed AI/ML models into the system for enhanced decision-making, such as recommendation engines.
  • Drive the adoption of AI Architect and best practices across the development teams, ensuring consistency and alignment with enterprise standards.
  • Participate in and lead architecture communities of practice to foster knowledge-sharing and innovation within the organization.
  • Stay updated on the latest architecture and technology trends relevant to financial services, such as cloud computing, data security, AI, and distributed systems.


Skills / Qualifications:

  • 5+ years of experience in at least one of the following: JavaScript, Java, TypeScript, or Python
  • End-to-end Systems Development: Proven ability to architect and build complex systems with a long-term vision
  • Expertise in financial services applications, including knowledge of transaction processing, risk management, and data security.
  • Excellent communication skills, with the ability to present complex architectural ideas to diverse stakeholders.
  • Strong problem-solving and critical thinking skills, with a track record of innovative solution design in complex environments.
  • Understanding of experimental design, statistical analysis, and data-driven decision making. Proficiency in collaborating with data scientists to translate advanced models into scalable production code
  • Familiarity with AI-driven frameworks like knowledge graphs, natural language processing (NLP), or recommendation systems is a big plus.


Recruitment London Boilerplate

Synechron’s stunning top floor offices are located in London's bustling Square Mile, close to Liverpool Street, Moorgate and Bank. We're a stone's throw from the Bank of England and a five-minute walk from St. Paul's Cathedral.


Our open-plan offices feature breakout areas, innovation spaces and a stunning roof terrace with great views of the city We’re a friendly bunch and host regular summer and Christmas parties, and team-building activities.


Our flexible working policy means three days in the London office and two days at home – and we’re happy to accommodate individual circumstances like school drop-offs and pick-ups (this will need to be worked out with your line manager).

Synechron’s Diversity Statement

Synechron are proud to be an equal opportunity employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We offer flexible workplace arrangements, mentoring, internal mobility, learning and development programmes to support our global workforce. Empowerment and collaboration are at the core of how we operate.


All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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