Tech Lead with AI

Our client is a global UK-based financial services and investment banking organization developing an AI-powered document processing and automation platform used across multiple businesses within the wider banking group. The platform leverages modern cloud and AI technologies to transform legacy workflows enhance data quality and accelerate digital decision-making.Position Overview:We are looking for a Tech Lead with strong hands-on engineering expertise and proven experience leading agile software development teams. The ideal candidate will define and drive the technical strategy of the platform guide engineers in delivering scalable and secure systems and actively contribute to architectural decisions and solution design.This role requires both strong technical depth and leadership capabilities particularly in environments involving Google Cloud Vertex AI LLM-powered components microservices APIs Python and data-intensive processing.The Tech Lead will work closely with product architecture data science and engineering teams to ensure high-quality delivery and alignment with business outcomes.Key Responsibilities:Define and communicate the technical vision architecture and engineering roadmap for the team and platform.Lead engineers conduct code reviews provide architectural guidance and ensure adherence to engineering standards.Lead the technical delivery lifecycle from design and development to deployment and maintenance.Build scalable high-performance microservices and APIs using modern frameworks and cloud-native design principles.Oversee integration of AI components using Google Cloud Vertex AI Gemini models and LLM evaluation frameworks.Promote test-driven development automate testing pipelines and ensure robust maintainable code.Work with product managers architects BAs and business teams to translate business needs into technical solutions.Contribute to product strategy identify technical opportunities and propose improvements to shape future releases.Drive best practices for cloud infrastructure security observability and performance optimization on Google Cloud.Requirements:8 years of experience in software engineering with at least 3 years in a Tech Lead role.Strong background in software/platform/database design in data-heavy or distributed environments.Hands-on experience with microservices and cloud-native architectures.Proficiency in at least one modern language (e.g. Java Kotlin Python TypeScript/ Go).Solid experience with Google Cloud Platform (GCP):Experience with Vertex AI (training orchestrating deploying models).Demonstrated experience with Gemini models or comparable LLM architectures.Familiarity with LLM-as-a-judge evaluation prompt engineering RAG patterns or AI validation techniques.Experience implementing automated testing frameworks CI/CD pipelines and TDD/BDD practices.Strong understanding of software engineering principles: scalability performance reliability observability.Proven experience leading engineering teams in agile delivery environments.Advanced English and excellent communication skills and ability to work with both technical and non-technical stakeholders.Nice to Have:Prior exposure to document processing platforms OCR NLP or workflow automation.Experience in financial services or other regulated industries.Familiarity with architectural frameworks (C4 modeling DDD event-driven systems).We offer*:Flexible working format - remote office-based or flexibleA competitive salary and good compensation packagePersonalized career growthProfessional development tools (mentorship program tech talks and trainings centers of excellence and more)Active tech communities with regular knowledge sharingEducation reimbursementMemorable anniversary presentsCorporate events and team buildingsOther location-specific benefits*not applicable for freelancersRequired Experience:Staff IC Key Skills Administrative Skills,Facilities Management,Biotechnology,Creative Production,Design And Estimation,Architecture Employment Type : Full Time Experience: years Vacancy: 1