Director/ Principal Engineer - Applied AI

1203 Barclays Global Serv. Cent; Bengaluru; On-site; INR 2,000,000 - 4,000,000; Full time

Job summary

1203 Barclays Global Serv. Cent in Bengaluru, India is seeking an experienced leader to drive technical excellence in AI/ML systems implementation. You will serve as the primary architect and mentor engineering teams, developing robust solutions that align with business objectives.

The ideal candidate will have over 12 years of experience in software engineering, extensive knowledge of AI/ML technologies, and a passion for fostering innovation and collaboration.

Qualifications

• 12+ years of experience in Software Engineering, Data Science, or Analytics, with 5+ in AI/ML.
• Hands-on experience in GenAI and AgenticAI frameworks such as LangGraph/LangChain.
• Expertise in large language models and model tuning.

Responsibilities

• Lead design and implementation of AI/ML solutions for the organization.
• Define technology roadmaps and best practices for AI/ML adoption.
• Architect and maintain data pipelines for model training.

Skills

AI/ML techniques

Python

Deep learning

Natural language processing

MLOps practices

Education

Bachelor’s degree in computer science, engineering, or related discipline

PhD in computer science or related discipline (preferred)

Tools

Git

Docker

Kubernetes

Jenkins

Job description

Drive technical excellence and innovation by leading design and implementation of robust software solutions, providing mentorship to engineering teams, fostering cross‑functional collaboration, and contributing to strategic planning to ensure high‑quality solutions aligned with business objectives.

Key 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.

Required 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 with 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.
• Experience with DevOps and CI/CD tools and practices, such as Git, Jenkins, Docker, Kubernetes, etc.

Preferred Qualifications

• PhD in computer science, engineering, mathematics, statistics, or a related discipline.
• Experience in establishing and enforcing AI/ML best practices, standards, and ethics.
• Knowledge of banking, financial products, and services.