Principal Engineer

Principal Engineer – Advanced Technologies

Barclays

Location:
India , Pune ▼
Bengaluru

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Are you looking to redefine customer experience by bending the curve of innovation in one of the most coveted domains, Banking & Financial Services Industry? Join our innovative team to build and deliver elevated customer experiences and streamline business operations with cutting-edge AI-driven solutions. As a Principal Engineer of Advanced Technologies, you will collaborate with multiple high stakeholders, senior leaders, talented engineers, and scientists, leveraging your deep expertise to shape AI/ML strategy on complex technical projects. You will serve as the deep technical expert and hands-on architect responsible for defining technology roadmaps, best practices, and standards that equip LLMs with domain-specific knowledge and execution capabilities.

Job Responsibility:

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.

Requirements:

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

Nice to have:

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.

What we offer:

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution

Additional Information:

Job Posted:
January 06, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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