Job Overview

Barclays is hiring a Data Automation & AI Engineer for its technology organization in Pune. The role focuses on designing, developing, and improving software solutions that support business, platform, and technology capabilities for customers and colleagues.

The position involves working with Python, agentic workflows, Generative AI, machine learning, automation, cloud platforms, containerization, CI/CD, data processing, and software engineering practices. The role also requires collaboration with product managers, designers, engineers, and other stakeholders to deliver scalable and maintainable technology solutions.

Key Responsibilities

• Design, develop, and improve high-quality software solutions using industry-aligned programming languages, frameworks, and tools.
• Build software that is scalable, maintainable, and optimized for performance.
• Collaborate with product managers, designers, and engineers to define requirements and develop solution strategies.
• Work with peers on code reviews and contribute to code quality and knowledge sharing.
• Stay informed about technology trends and contribute to technology communities within the organization.
• Follow secure coding practices to help mitigate vulnerabilities and protect sensitive data.
• Implement effective unit testing practices to support reliable, readable, and well-designed code.
• Contribute to continuous improvement and deliver assigned activities to a high standard.
• Apply technical experience to analyze information, resolve problems, and select appropriate solutions.
• Work with stakeholders and related teams while supporting risk management, controls, policies, procedures, and relevant regulations.

Required Skills

• Python programming skills and experience with agentic workflows.
• Understanding of Generative AI concepts, including Prompt Engineering or frameworks such as LangChain.
• Knowledge of machine learning concepts, automation, and exposure to TensorFlow or PyTorch.
• Experience with Git-based version control systems.
• Understanding of CI/CD concepts and tools such as Jenkins or GitHub Actions.
• Knowledge of API development and integration concepts.
• Exposure to cloud platforms, preferably Amazon Web Services (AWS).
• Understanding of containerization concepts, with Docker preferred.
• Understanding of AI/ML lifecycle activities including model development, training, and deployment.
• Good understanding of software engineering principles such as modular design, code readability, and testing.

Additional Skills

• Exposure to Snowflake, Databricks, or basic SQL.
• Familiarity with data engineering concepts such as ETL pipelines, Apache Airflow, or Apache Spark basics.
• Awareness of Responsible AI principles, model interpretability, and governance fundamentals.
• Understanding of DevOps fundamentals and software delivery pipelines.
• Strong problem-solving ability and willingness to learn new technologies.
• Good communication and collaboration skills.

Cloud and Data Technologies

• Amazon Web Services (AWS) – Exposure to AWS services, preferably including RDS, EKS, EC2, and Lambda or similar services.
• Snowflake and Databricks – Exposure to data processing platforms.
• SQL – Basic SQL knowledge is valued for the role.
• ETL, Apache Airflow, and Apache Spark – Familiarity with data engineering and processing concepts.

Education

The provided job description does not specify a required degree, qualification, or academic branch.

Experience

The provided job description does not specify a minimum or maximum number of years of professional experience.

Work Mode & Location

This role is based in Pune, India. The job description does not explicitly state a remote or hybrid arrangement, so the configured work mode is onsite.

Role Expectations

The role requires in-depth technical knowledge within the assigned area and the ability to apply technical experience to business and technology challenges. The position may involve leading or supervising team activities where applicable, or acting as a technical advisor and building expertise as an individual contributor.

The role also involves communicating complex or sensitive information, working with stakeholders outside the immediate function, influencing decisions within the area of expertise, and taking responsibility for risk management and relevant controls.

How to Apply

Apply now through SoftoJobs to explore this opportunity.