Overview

Are you looking to redefine customer experience by bending the curve of innovation in one of the most coveted domains, Banking & Financial Services Industry?

Responsibilities

• Serve as the primary code-level reviewer and hands-on architect for the most complex AI/ML systems and frameworks.
• Define and enforce technology roadmaps, best practices, strategies, and standards for AI/ML adoption across the organization.
• Conduct and guide research on context/prompt engineering techniques to translate successful research into reusable engineering frameworks for the wider team.
• Architect and maintain robust data pipelines and data processing workflows for model training and model tuning, utilizing cloud services for scalability and efficiency.
• Implement and champion MLOps tools and practices, ensuring seamless integration of machine learning models and LLMs into production environments.
• Lead the effort to agentize existing systems (front-end & back-end apps) by incorporating agentic frameworks/stacks and integrating them via A2A, MCP protocol.
• Partner with cross-functional teams to integrate AI/ML solutions into products and services.
• Mentor and coach junior and senior engineers on advanced AI/ML techniques, best practices, and architecture design.
• Provision of guidance and expertise to engineering teams to ensure alignment with best practices and foster a culture of technical excellence.
• Contribution to strategic planning by aligning technical decisions with business goals, anticipating future technology trends, and providing insights to optimize product roadmaps.
• Design and implementation of complex, scalable, and maintainable software solutions, considering long-term viability and business objectives.
• Mentoring and coaching to junior and mid-level engineers to foster professional growth and knowledge sharing, elevating the overall skillset and capabilities of the organization.
• Collaboration with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions and ensure a cohesive approach to product development.
• Innovation within the organization by identifying and incorporating new technologies, methodologies, and industry practices into the engineering process.
• To manage a business function, providing significant input to function wide strategic initiatives. Contribute to and influence policy and procedures for the function and plan, manage and consult on multiple complex and critical strategic projects, which may be business wide..
• Provide expert advice to senior functional management and committees to influence decisions made outside of own function, offering significant input to function wide strategic initiatives.
• Manage, coordinate and enable resourcing, budgeting and policy creation for a significant sub-function.
• Escalates breaches of policies / procedure appropriately.
• Foster and guide compliance, ensure regulations are observed that relevant processes in place to facilitate adherence.
• Focus on the external environment, regulators, or advocacy groups to both monitor and influence on behalf of Barclays, when appropriate.
• Demonstrate extensive knowledge of how the function integrates with the business division / Group to achieve the overall business objectives.
• Maintain broad and comprehensive knowledge of industry theories and practices within own discipline alongside up-to-date relevant sector / functional knowledge, and insight into external market developments / initiatives.
• Use interpretative thinking and advanced analytical skills to solve problems and design solutions in often complex/ sensitive situations.
• Exercise management authority to make significant decisions and certain strategic decisions or recommendations within own area.
• Negotiate with and influence stakeholders at a senior level both internally and externally.
• Act as principal contact point for key clients and counterparts in other functions/ businesses divisions.
• Mandated as a spokesperson for the function and business division.

Qualifications

• A Bachelor’s degree (or above) in computer science, engineering, mathematics, or a related discipline.
• 12+ years of experience in Software Engineering, Data Science, or Analytics with 5+ years of experience in AI/ML engineering or related fields.
• Demonstrated experience designing and implementing highly scalable, production-grade AI/ML platforms and systems.
• Deep understanding of Large Language Models (LLMs), LLM training & fine tuning.
• Hands-on experience in GenAI and AgenticAI frameworks such as LangGraph/LangChain, CrewAI, Strands SDK, Google ADK, etc. Familiarity on working with MCP and A2A protocols.
• Expertise in various AI/ML techniques, such as deep learning, natural language processing, reinforcement learning, and large language models.
• Proficiency in Python, R, or other programming languages for data analysis and AI/ML development.
• Knowledge of banking, financial products and services.

Nice to have

• PhD in computer science, engineering, mathematics, statistics, or a related discipline.