Job Description
Date live: 05/14/2026 Business Area: Wholesale Lending Area of Expertise: Technology Contract: Permanent Reference Code: JR-0000094485 Salary / Rate $220,000.00 - $300,000.00 AI platform owner accountable for shaping, building, securing, implementing and scaling Investment Banking and Lending AI platform Owning and evolving the AI platform to enable with core accountability to define and deliver the AI platform architecture Accountable for building scalable, performant, resilient, reliable and accurate Pro-Code AI use cases that align to Barclays Compliance and Legal directions Accountable for designing and deploying both, SLM and LLM driven workflows and NLP solutions that are scalable and production ready. Ability to build out a product vision for launching AI products for Investment Banking at scale. Accountable for the Multi Year AI Architectural Roadmap in alignment to business roadmaps, Solution Design Patterns and Delivery standards in line with Business and Functional architecture. Commercially astute and experienced in vendor management skills to ensure the firm takes sound Build vs Buy decisions and ensures timely and cost-effective business outcomes Accountable for managing and tracking financial budgets for the area, bottoms-up resource and cost planning, forecasting costs accurately, tracking business benefits and ensuring return on investment Deep understanding of multi cloud infrastructure, security patters, MCP integration, API integration for delivery of AI platforms is essential. Hands on skills on AWS / Azure/ GCP and other SaaS platforms (deep familiarity with one or more with relevant solution architecture certifications preferred). Senior stakeholder management skills Simplify, paraphrase, translate complex technical concepts for C-suite leaders with clear examples to articulate the business value delivered. Accountability for Engineering excellence within AI platform demonstrating speedy, high quality delivery AI, Data Science and ML Skills : Ability to both, directly build and technically direct the development of E2E AI products. The ability to code production quality solutions using both, Java and Python. Ability to build complex models using PyTorch or TensorFlow. Ability to manage performant SQL databases and ability to finetune databases. Mastery of ML/Data Science skills – proven track record in Data Science/ML with expertise in Python, SQL and Deep Learning libraries (TensorFlow, Keras, PyTorch) Hands on skills with Vector DB and RAG – embeddings, chunking, re-ranking Exposure to AI governance and compliance processes in Tier 1 Banks Clarity on LLM architecture, evaluation frameworks, Inference Optimisation and finetuning skills. Ability to build and deploy LLM and SLM driven workflows and NLP, Document AI solutions that are scalable, compliant and production ready. Expertise in MLOps and LLMOps. Deep familiarity with information security solutions in the context of Enterprise AI (prompt injection defense, guardrails etc) Expertise in DataBricks, SnowFlake, Airflow, DBT will be preferred but not essential Adopts AI development tools such as Claude Code, Cursor, Git Lab Duo Ability to leverage Agents in the development lifecycle process The minimum and maximum salary/rate information above includes only base salary or base hourly rate. It does not include any another type of compensation or benefits that may be available. Barclays employees are eligible for a suite of a competitive and generous employee benefits, including medical, dental and vision coverage, 401(k), life insurance, and other paid leave for qualifying circumstances. This position is eligible for an incentive award. Purpose of the role To lead and manage engineering teams, providing technical guidance, mentorship, and support to ensure the delivery of high-quality software solutions, driving technical excellence, fostering a culture of innovation, and collaborating with cross-functional teams to align technical decisions with business objectives. Accountabilities Lead engineering teams effectively, fostering a collaborative and high-performance culture to achieve project goals and meet organizational objectives. Oversee timelines, team allocation, risk management and task prioritization to ensure the successful delivery of solutions within scope, time, and budget. Mentor and support team members' professional growth, conduct performance reviews, provide actionable feedback, and identify opportunities for improvement. Evaluation and enhancement of engineering processes, tools, and methodologies to increase efficiency, streamline workflows, and o