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Barclays

Wealth management services for UK clients

Engineering Lead - Applied AI

Engineering LeadershipConfirmed live in the last 24 hours
Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

  • Experience in Applied AI, including Claude CLI, OpenAI SDK, Google ADK, retrieval-augmented generation, LangChain, Langfuse, Bedrock, guardrails, vector databases, and advanced prompting.
  • Working knowledge of AWS technologies, including Python, IAM, S3, Lambda, Step Functions, CloudWatch, Glue, Athena, Lake Formation, RDS, PostgreSQL, ECS, EKS, and CloudFormation.
  • Technical leadership exposure within software architecture, line management, mentoring, cross-team collaboration, and project planning and execution.
  • Client-facing and stakeholder communication skills.

Responsibilities

  • Design, develop, and improve software that provides business, platform, and technology capabilities for customers and colleagues.
  • Develop and deliver high-quality software solutions using industry-aligned programming languages, frameworks, and tools, ensuring code is scalable, maintainable, and optimized for performance.
  • Collaborate with product managers, designers, and engineers to define software requirements, devise solution strategies, and ensure seamless integration aligned with business objectives.
  • Participate in code reviews and promote code quality and knowledge sharing.
  • Stay informed about technology trends and innovations and contribute to technology communities.
  • Follow secure coding practices to mitigate vulnerabilities, protect sensitive data, and deliver secure software solutions.
  • Implement effective unit testing practices to ensure code design, readability, and reliability.
  • Lead the evolution of data technologies through AI, driving innovation and operational excellence; build and manage robust, scalable, and secure applications and ensure seamless delivery of digital solutions through responsible use of AI.
  • Advise key stakeholders and senior management on functional and cross-functional impacts and alignment.
  • Assess and mitigate risks in support of control and governance objectives, and demonstrate accountability for managing risk and strengthening controls.
  • Apply understanding of organizational functions to help achieve business goals, and collaborate with other areas to stay aligned with business activity and strategy.
  • Develop solutions by comparing and selecting complex alternatives, conducting in-depth analysis, and applying extensive research to problem solving.
  • Build and maintain relationships with internal and external stakeholders to accomplish business objectives, using influencing and negotiating skills.

Desired Qualifications

  • Experience with big data technologies, including Hadoop, Impala, and Hive.
  • Experience with cloud data technologies such as Snowflake, Databricks, Starburst, and StarRocks.
  • Strong understanding of data governance and associated controls.

About the Company

Barclays

Wealth management services for UK clients

Barclays Wealth Management helps UK clients manage and grow their wealth through a regional network of financial experts. It delivers personalized advice and services—such as investment management, financial planning, and estate and trust planning—tailored to each client’s goals, risk tolerance, and time horizon, with support from Barclays’ broader resources. What sets it apart is the combination of local, face-to-face guidance with the scale and range of a large UK bank, offering access to a wide array of financial products and research. The goal is to help clients preserve and grow their wealth over the long term by providing comprehensive, advisor-led guidance aligned with individual financial objectives.

Company size
10,001+
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1690

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