AI Engineer

Purpose of the role

To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. 

Accountabilities

• Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
• Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
• Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
• Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
• Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
• Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.

Analyst Expectations

• To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
• Requires in-depth technical knowledge and experience in their assigned area of expertise
• Thorough understanding of the underlying principles and concepts within the area of expertise
• They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.
• Will have an impact on the work of related teams within the area.
• Partner with other functions and business areas.
• Takes responsibility for end results of a team’s operational processing and activities.
• Escalate breaches of policies / procedure appropriately.
• Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
• Advise and influence decision making within own area of expertise.
• Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
• Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
• Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Make evaluative judgements based on the analysis of factual information, paying attention to detail.
• Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
• Guide and persuade team members and communicate complex / sensitive information.
• Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Join us as an AI Engineer at Barclays where you will drive the adoption of Artificial Intelligence and Agentic AI solutions across the organization, enabling intelligent automation, business process transformation, and next-generation digital experiences. You will leverage cutting-edge AI technologies, cloud-native architectures, and scalable deployment platforms to design, build, and operate enterprise-grade AI solutions that deliver measurable business value.

The Hands-on AI Engineer is a core developer responsible for building and maintaining AI-powered applications, intelligent agents, and autonomous workflows. This role requires strong software engineering expertise along with practical experience in Generative AI, Large Language Models (LLMs), Agentic AI frameworks, FastAPI-based services, and AWS cloud technologies. Engineers will design AI orchestration workflows, integrate enterprise data sources, implement RAG pipelines, and ensure secure, scalable, and production-ready AI solutions.

To be successful as an AI Engineer, you should have experience with:

• Strong proficiency in Python with a solid understanding of modern software engineering principles and best practices.

• Hands-on experience building AI applications using FastAPI and RESTful microservices architectures.

• Experience working with Large Language Models (LLMs) and Generative AI platforms such as Claude, Amazon Bedrock, or similar technologies.

• Strong understanding of Agentic AI concepts, multi-agent systems, and AI orchestration frameworks such as LangGraph, CrewAI, AutoGen, LangChain, or similar.

• Experience designing and implementing Retrieval Augmented Generation (RAG) solutions using vector databases and embeddings.

• Hands-on experience with AWS services including Bedrock, Lambda, ECS/EKS, S3, DynamoDB, API Gateway, CloudWatch, and IAM.

• Experience integrating AI solutions with enterprise data platforms, APIs, databases, and knowledge repositories.

• Knowledge of prompt engineering, model evaluation, guardrails, and AI governance best practices.

• Experience with containerisation and deployment technologies such as Docker, Kubernetes, and CI/CD pipelines.

Some other highly valued skills may include:

• Understanding of SWIFT messaging formats (ISO 20022 or MT messages)

• Experience with IBM MQ or JMS-based messaging

• Knowledge of payment processing domain

• Familiarity with ELK stack for logging and troubleshooting

• Experience with SWIFT parsing libraries (Prowide Core)

You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

The role is based out of Pune.