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# Lead Software Engineer, Full-Stack Applications - AI Fluent (London)

- **Company:** Fitch Group
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** HTML, JavaScript (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Cascading Style Sheets (CSS), Cloud Engineering, Data Structures, Database Applications, Decision Support Systems, Software Design Patterns, DevOps, Github, Python (Programming Language), NoSQL, Object-Oriented Software Development, Software Architecture, Cloud Services, Software Engineering, Systems Architecture, Systems Integration, TypeScript, Web Application Frameworks, ReactJS, Large Language Models, Prompt Engineering, Generative AI, Backend, Solid Principles, Kubernetes, Information Technology, Front End Software Development, Restful APIs, Docker, Microservices
- **Published:** September 23, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d3f0eb06f44846c0

## About the Role

* 12+ years of professional software engineering experience building and supporting enterprise-grade applications.
 * Expert-level proficiency in developing scalable backend services, APIs, and data-driven applications using Python
 * Hands-on React experience developing modern, responsive, and scalable web applications in production environments.
 * Strong experience with TypeScript/JavaScript, HTML, CSS, and modern frontend development practices.
 * Experience designing and developing RESTful APIs and integrating with third-party services.
 * Solid understanding of software design principles, design patterns, object-oriented programming, data structures, algorithms, and scalable system architecture.
 * Experience working with relational and NoSQL databases.
 * Familiarity with Agile development methodologies and modern software delivery practices
 * AI Fluency - Experience or familiarity with integrating AI-powered capabilities into software applications, including LLM APIs such as OpenAI, AWS Bedrock, Anthropic, or similar platforms. Understanding of concepts such as prompt engineering, retrieval-augmented generation (RAG), AI agents, and responsible AI practices, with the ability to evaluate and apply AI technologies to solve real business problems.
 * Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
 * Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.

What Would Make You Stand Out:

 * Modern engineering practices and DevOps prowess - Deep experience with Docker, Kubernetes/EKS, GitHub, sophisticated CI/CD pipelines, and hands-on cloud expertise (AWS/Azure) with microservices and cloud-native architecture
 * AI adoption leadership - Experience championing AI, generative AI, intelligent automation, or developer productivity tooling in an engineering organization; ability to identify practical use cases, define guardrails, coach peers, measure outcomes, and scale successful practices across teams
 * Leadership trajectory - Experience in principal engineer, tech lead, or architect roles; history of contributing to technical strategy or organizational direction; thought leadership through talks, writing, or community involvement
 * Financial services domain expertise - Experience with analytical workflows, regulatory processes, financial products, credit ratings, or understanding of how technology enables better decision-making
 * Agile mastery and change agent experience - Track record of establishing practices, challenging established patterns constructively, and creating space for teams to innovate and take calculated risks

If you are a seasoned engineering leader who wants to build impactful platforms, inspire teams, and help shape how AI and innovation are adopted responsibly across a global technology organization, we would love to hear from you.

## Description

You will work closely with talented engineering teams supporting Ratings workflow and analytical applications, influencing both technical architecture and organizational direction. We are looking for a seasoned technologist who enjoys solving complex problems, mentoring others, and turning emerging ideas into practical outcomes. You do not need to be an AI specialist, but you should be excited to explore how AI, automation, and modern engineering practices can improve developer productivity, analyst experience, decision support, and operational excellence. This is a critical leadership role for an organization investing in the future and looking for someone who can inspire curiosity, experimentation, and measurable innovation across teams., * Strategic leadership with organizational impact - Shape technical architecture and product direction for applications used by analysts worldwide, with high visibility to senior leadership and the ability to influence technology strategy across Ratings Technology

 * AI-forward innovation culture - The opportunity to champion responsible AI adoption, identify practical use cases, drive proofs of concept, and help teams translate experimentation into repeatable, trusted ways of working that create measurable business value
 * Continuous learning and career growth - Training, certifications, conferences, mentorship opportunities, and clear paths to principal/architect/leadership tracks as you establish yourself as a thought leader, * Define technical vision and accelerate AI-enabled transformation - Design robust, scalable full-stack applications using Python and React, guide architectural decisions, establish technical standards, and identify high-value opportunities where AI, intelligent automation, and modern data-driven workflows can improve outcomes for analysts and engineering teams
 * Lead through influence and mentorship - Partner with product managers, analysts, and senior stakeholders as a trusted technical advisor, mentor engineers across teams, facilitate technical discussions, and foster a culture of experimentation, learning, and psychological safety
 * Champion innovation and responsible AI adoption - Challenge existing approaches constructively, encourage experimentation, create and evaluate proofs of concept, promote approved AI tools and responsible usage patterns, and help the tribe and squad turn promising ideas into scalable engineering practices
 * Champion engineering excellence and quality - Implement CI/CD pipelines, conduct architecture reviews, solve complex performance and scalability challenges, establish best practices that scale across teams, and balance innovation with pragmatic delivery
 * Shape team direction and build an innovation flywheel - Influence team processes, lead strategic technical initiatives spanning multiple teams, share learnings from AI pilots, create space for peer-led adoption, and model the curiosity, humility, and boldness needed to make innovation part of everyday delivery
 * Own reliability and navigate complexity - Provide expert troubleshooting for sophisticated issues, maintain system performance at scale, balance multiple strategic priorities, and deliver excellence in fast-paced Agile environments


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