AI Solution Architect

Purpose of the role

To  lead and manage engineering teams, providing technical guidance, mentorship, and support to ensure the delivery of high-quality software solutions, driving technical excellence, fostering a culture of innovation, and collaborating with cross-functional teams to align technical decisions with business objectives. 

Accountabilities

• Lead engineering teams effectively, fostering a collaborative and high-performance culture to achieve project goals and meet organizational objectives.
• Oversee timelines, team allocation, risk management and task prioritization to ensure the successful delivery of solutions within scope, time, and budget.
• Mentor and support team members' professional growth, conduct performance reviews, provide actionable feedback, and identify opportunities for improvement.
• Evaluation and enhancement of engineering processes, tools, and methodologies to increase efficiency, streamline workflows, and optimize team productivity.
• 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.
• Enforcement of technology standards, facilitate peer reviews, and implement robust testing practices to ensure the delivery of high-quality solutions.

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.

Join us as an AI Solution Architect at Barclays. You will be working as Solution Architect with a strong track record in AI/ML, GenAI & enterprise architecture. This role is ideal for a senior professional who can design and deliver enterprise grade GenAI Agentic AI solutions, lead and drive innovation across cloud, On-premises and hybrid environments. You will be technical owner for GenAI driven initiatives ensuring successful delivery of scalable and production ready AI/ML applications while aligning with enterprise business needs.

To be successful as an AI Solution Architect you should have experience with: 

• Define end‑to‑end architecture for GenAI, Agentic AI and LLM‑powered platforms across the enterprise.

• Establish architectural patterns for RAG pipelines, LLM inference, multi‑agent orchestration, tool‑use frameworks and decision engines.

• Create architecture blueprints for AWS Bedrock, SageMaker, Lambda, and enterprise‑approved AI infrastructure.

• Lead design of model evaluation, safety tuning, AI ethics, risk standard, Responsible AI, guardrails and enterprise data governance frameworks.

• Drive technical decision-making across infrastructure, API, microservices, databases and AI platforms.

• Ensure successful deployment and scaling of AI solutions across on-premise, cloud and hybrid architecture.

• Work closely with product managers, engineers and UX teams to embed AI capabilities into business workflows.

• Track emerging trends in LLMs, GenAI frameworks, autonomous agents and knowledge systems.

• Deep understanding of Large Language Models (GPT‑class, Claude‑class, etc.), RAG architectures & vector DBs & Agentic AI frameworks (tool‑calling, planners, LangGraph‑style architectures).

• Strong hands‑on architectural experience with AWS Bedrock, SageMaker, Lambda and event‑driven cloud patterns.

• Proven experience integrating AI into enterprise systems, APIs, microservices and workflow engines.

• Experience with Database technologies like SQL, NoSQL and vector databases (e.g., DynamoDB, PGVector, CromaDB, FAISS etc.)

• Proficiency with developing solutions on cloud platform preferably AWS platform.

• Good Architecture experience with large-scale AI/ML systems.

• Experience designing agentic decision systems, knowledge platforms or autonomous workflow engines.

Some other highly valued skills may include:

• Professional experience in financial services and technology firms.

• Knowledge of REST APIs, JSON/XML, CI/CD tools (Jenkins), and cloud-native architectures.

• Excellent communication and stakeholder management skills.

• Bachelor’s degree in computer science, Information Technology or Engineering is required.

• Mentor engineering teams and contribute to architecture guilds, AI communities and enterprise AI accelerators.

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 out of Bengaluru.