AI Architect Java-London

Hello Team

Need your help on below role on priority

Role : AI Architect Java

Location : London, UK Hybrid- 2days to office

Location: Cavendish Square, London, W1G 0PW

Rate: 50 GBP/hr.(max)

Job Description: Architect Banking Platforms, Java & AI

Position	Architect Banking Platforms, Java & AI
Primary Skill	Enterprise & Platform Architecture Java Cloud-native
Additional Skill	AI / Generative AI / Agentic AI Automation

Role Summary

We are seeking an Architect of experience to shape and lead the technology direction of large-scale banking and financial services platforms.

Based in London, this is a senior leadership role combining technology vision, client advisory, and hands-on architecture authority across Java, cloud-native, and AI-first platforms.

The ideal candidate is an aspiring CTO - not yet in a CTO role, but already operating at that scale.

They can establish and drive Platform, Product, and Technology Trends & Design capabilities, earn trust with client CXOs, win large deals, and build the next generation of technical leaders.

Key Responsibilities

1. Technology Vision, Architecture & Roadmap

• Define technology vision, target architecture, and multi-year roadmap for banking platforms and practice offerings.
• Act as the design authority for enterprise, solution, and application architecture - setting standards, reference architectures, and guardrails.
• Align technology investments and architecture decisions with business outcomes, regulatory needs, and time-to-market.

2. Platform, Product and Trends & Design Capability

• Establish and scale a Platform capability - reusable, cloud-native, API-first and composable banking platforms.
• Build Product capability - bring product thinking, IP, and accelerators that shift delivery from projects to platforms.
• Set up a Technology Trends & Design function - track emerging tech, run architecture/design councils, and convert trends into offerings.

3. Trusted Client Advisor & Large Deals

• Act as a trusted advisor to client CIOs, CTOs, and business leaders on digital and core banking transformation.
• Lead technology solutioning for large deals and RFPs - solution strategy, architecture, estimation, and executive orals.
• Represent the organization in client forums, industry events, and thought-leadership publications.

4. AI, Cloud, Automation & Emerging Technologies

• Drive adoption of GenAI, Agentic AI, cloud, and automation across platforms and the delivery lifecycle.
• Define responsible AI, AI governance, and LLMOps patterns suited to regulated banking environments.
• Champion AI-native engineering (GitHub Copilot, Claude Code, OpenAI Codex, SASVA) with measurable productivity gains.

5. Engineering Excellence

• Improve quality, productivity, security, and delivery practices across DevSecOps, SRE, and platform engineering.
• Own non-functional excellence - scalability, resiliency, performance, observability, and operational resilience.
• Govern architecture reviews, technical risk, and technical debt across programmes.

6. Technical Leadership & Talent Growth

• Develop technical leadership, skills, and future-ready capabilities across architects and engineering leaders.
• Build competency frameworks, architect career paths, and mentoring programmes.
• Grow a strong bench of architects capable of leading client-facing technology engagements.

Must-Have Experience

• enterprise/solution architecture and senior technical leadership.
• Proven delivery of large-scale banking or financial services platforms - digital banking, core banking, or payments.
• Track record of shaping and winning large, multi-year transformation deals with CXO-level stakeholders.
• Experience building a practice, platform, or CoE capability from the ground up.
• Evidence of leading multi-location, onsite offshore architecture and engineering teams.

Technology Depth

• Java & Spring: Java 17+, Spring Boot, Spring Security, microservices, DDD, and clean architecture.
• Event-driven & APIs: Kafka, IBM MQ, REST, gRPC, GraphQL, and OpenAPI; API-first and open banking patterns.
• Cloud & platform: AWS / Azure / GCP, Kubernetes, Docker, Helm, IaC, and platform engineering.
• Data: relational and NoSQL stores, real-time data platforms, and data architecture for AI.
• AI / GenAI: LLM integration, RAG, Agentic AI, vector databases, prompt engineering, and AI governance.
• Security & DevSecOps: zero trust, IAM, TLS/mTLS, CI/CD, SonarQube, and Snyk.

Banking / Financial Services Domain

• Retail, SME, and corporate banking; payments; and capital markets.
• Messaging standards: ISO 20022, ISO 8583, SWIFT CBPR+, pacs and camt.
• UK & European payments: Faster Payments, CHAPS, Bacs, SEPA, and card networks.
• Regulation: awareness of FCA / PRA expectations, PSD2 / Open Banking, DORA, operational resilience, and AML / sanctions.