hackajob is partnering with Barclays to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
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 Pune.
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
Vice President Expectations
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.
hackajob is partnering with Barclays to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
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