Vice President - Solutions Architect - Data Engineer/GenAI

Purpose of the role

To design, develop, and implement solutions to complex business problems, collaborating with stakeholders to understand their needs and requirements, and design and implement solutions that meet those needs and create solutions that balance technology risks against business delivery, driving consistency. 

Accountabilities

• Design and development of solutions as products that can evolve, meeting business requirements that align with modern software engineering practices and automated delivery tooling. This includes identification and implementation of the technologies and platforms.
• Targeted design activities that apply an appropriate workload placement strategy and maximise the benefit of cloud capabilities such as elasticity, serverless, containerisation etc.
• Best practice designs incorporating security principles (such as defence in depth and reduction of blast radius) that meet the Bank’s resiliency expectations.
• Solutions that appropriately balance risks and controls to deliver the agreed business and technology value.
• Adoption of standardised solutions where they fit. If no standard solutions fit, feed into their ongoing evolution where appropriate.
• Fault finding and performance issues support to operational support teams, leveraging available tooling.
• Solution design impact assessment in terms of risk, capacity and cost impact, inc. estimation of project change and ongoing run costs.
• Development of the requisite architecture inputs required to comply with the banks governance processes, including design artefacts required for architecture, privacy, security and records management governance processes.

Vice President Expectations

• To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures..
• If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..
• 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 will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..
• Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
• Manage and mitigate risks through assessment, in support of the control and governance agenda.
• Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
• Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
• Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
• Adopt and include the outcomes of extensive research in problem solving processes.
• Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

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.

Embark upon a transformative journey as a Vice President - Solutions Architect - Data Engineer/GenAI. At Barclays, we don’t just embrace change – we drive it. As a Vice President - Solutions Architect - Data Engineer/GenAI, you will design, develop, and implement solutions to complex business problems, collaborating with stakeholders to understand their needs and requirements, and design and implement solutions that meet those needs and create solutions that balance technology risks against business delivery, driving consistency.

To be a successful Technology Architect - Gen Artificial Intelligence Technology, you should have experience of:

• Strong experience in architecting and building enterprise-level generative AI (GenAI) applications. Extensive expertise in GenAI technologies, particularly in Large Language Models (LLMs) such as Amazon Bedrock, with a deep understanding of model customization, training strategies, Retrieval-Augmented Generation (RAG), prompt engineering, and model fine-tuning, Agentic architecture.

  
  
  

• Comprehensive understanding of generative AI models, including large language models, diffusion models, and their practical applications. Developing a model customization approach and training strategy, designing, and implementing the model evaluation framework for incremental build, and evaluating models using various metrics applicable to LLM models. Additionally, it involves implementing a feedback loop and conducting thorough testing and validation to ensure the desired accuracy.

  
  
  

• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform, and their respective AI/ML services. Monitor and evaluate the performance of generative AI models and systems. Implement improvements and optimizations as needed. Maintain comprehensive documentation of generative AI architectures, models, and processes. Ensure knowledge transfer and training for team members.

  
  
  

• Proficiency in programming languages such as Python, GenAI Library. Hands-on experience with containerization technologies like Docker and Kubernetes. Comprehensive understanding of data privacy, security, and ethical considerations in AI development.

  
  
  

Additional relevant skills given below are highly valued:

• Excellent problem-solving, analytical, and critical thinking skills, with the ability to break down complex problems and devise efficient solutions.

  
  
  

• Proven track record of successfully leading and delivering complex Gen AI/ML projects from inception to deployment.

  
  
  

• Exceptional communication and collaboration skills, with the capability to effectively convey technical concepts and ideas to both technical and non-technical stakeholders.

  
  
  

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.

This role is based in Pune.