7 months ago
Pune, India or Bengaluru, IndiaStaff+
Responsibilities
- Provide technical guidance and expertise to engineering teams while promoting software engineering best practices.
- Design and implement complex, scalable, and maintainable software and AI/ML solutions.
- Act as the primary code-level reviewer and hands-on architect for complex AI/ML systems and frameworks.
- Define and enforce AI/ML technology roadmaps, strategies, standards, and best practices across the organization.
- Research and guide context and prompt engineering techniques and translate successful research into reusable engineering frameworks.
- Architect and maintain data pipelines and data-processing workflows for model training and tuning using cloud services.
- Implement and champion MLOps tools and practices for production deployment of machine learning models and LLMs.
- Agentize existing front-end and back-end systems using agentic frameworks and integrate them through A2A and MCP protocols.
- Partner with product, business, engineering, and other cross-functional stakeholders to integrate AI/ML solutions into products and services.
- Mentor and coach junior, mid-level, and senior engineers on AI/ML techniques, architecture, and best practices.
- Contribute to strategic planning, product roadmaps, policy, resource planning, and organization-wide technical initiatives.
- Provide expert advice to senior management and influence strategic decisions, standards, and long-term technology direction.
Requirements
- Bachelor’s degree or higher in computer science, engineering, mathematics, or a related discipline.
- 12+ years of experience in software engineering, data science, or analytics.
- 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, including LLM training and fine-tuning.
- Hands-on experience with GenAI and agentic AI frameworks such as LangGraph, LangChain, CrewAI, Strands SDK, or Google ADK.
- Familiarity with MCP and A2A protocols.
- Expertise in deep learning, natural language processing, reinforcement learning, and large language models.
- Proficiency in Python, R, or other programming languages used for data analysis and AI/ML development.
- Experience with DevOps and CI/CD tools and practices, including Git, Jenkins, Docker, and Kubernetes.
- Experience establishing and enforcing AI/ML best practices, standards, and ethics is preferred.
- Knowledge of banking, financial products, and financial services is preferred.
- A PhD in computer science, engineering, mathematics, statistics, or a related discipline is preferred.
Tech Stack
Categories
About Barclays
Barclays is a UK‑based universal bank that provides retail and commercial banking, credit cards (Barclaycard), wealth management, and investment banking to consumers, businesses, and institutions. Publicly listed in London and New York, it generates revenue from net interest income, fees, and markets activities, and operates across Europe, the Americas, the Middle East, and Asia. Founded in 1690 and headquartered in London, it serves customers through digital channels and a branch network.