Vice President – AI Engineer

1203 Barclays Global Serv. Cent; Bengaluru; On-site; INR 6,000,000 - 12,000,000; Full time

Job summary

Barclays Bengaluru and Pune-based Vice President – AI Engineer role seeking a senior engineer to drive the design, build, and scaling of AI/ML solutions across multiple business units. You will shape architectural decisions, mentor teams, and ensure enterprise-grade reliability and governance.

You will lead agentic AI systems, multi-agent orchestration, and end-to-end MLOps pipelines, while collaborating with product managers and security teams to align with Barclays values and standards.

Qualifications

• Bachelor's degree in Computer Science, Engineering or related field required.
• 12+ years software engineering or ML infra experience.
• Expert-level Python and Go/Java; production systems knowledge.
• Experience with agentic AI systems, LLM apps, and end-to-end MLOps pipelines.
• Knowledge of LLM fine-tuning, prompt engineering, RAG, and agent frameworks.
• Experience with AWS services and container orchestration (Docker/Kubernetes).
• Strong communication with senior leaders and cross-functional teams.
• Based in Bengaluru and Pune (office).

Responsibilities

• Design, build, and scale AI/ML software across business units.
• Lead production ML infra, model serving and end-to-end pipelines.
• Mentor engineers and ensure secure, reliable architectures.
• Communicate complex technical concepts to senior stakeholders.

Skills

Python (FastAPI)

Go/Java

LLM/AI systems

Multi-agent orchestration

Docker/Kubernetes

MLOps

AWS (EC2/EKS, S3)

LLM fine-tuning

Communication with leadership

Education

Bachelor's degree in CS/Engineering

Tools

Docker

Kubernetes

AWS (Bedrock/SageMaker)

SageMaker

Job description

Job Description

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.

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 escal… 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.

LEAD Behaviours

• 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. 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.

Vice President – AI Engineer Role

Join Barclays as a Vice President – AI Engineer role, where you will serve as a senior engineer helping to drive adoption of state-of-the-art AI technologies. You'll use your expertise to design, build, and scale AI/ML solutions - from agentic AI systems and LLM applications to end‑to‑end MLOps pipelines - enabling the bank's success across multiple business units. You will shape architectural decisions, mentor engineering teams, and ensure our AI solutions meet the demands of enterprise‑grade reliability, security, and governance. At Barclays, we don't just anticipate the future - we're creating it.

Required skills

• Bachelor's degree (or above) in Computer Science, Engineering, Mathematics, or related discipline
• 12+ years software engineering experience or experience designing and building scalable ML infrastructure, model serving platforms, and end‑to‑end MLOps systems at enterprise scale
• Expert-level proficiency in Python (FastAPI, async patterns) and/or Go/Java, with demonstrable experience building production systems serving high-throughput, low-latency workloads
• Strong experience developing agentic AI systems and LLM applications including multi-agent orchestration, tool use, planning frameworks, and production deployment of multi-layered AI workflows at scale
• Deep technical knowledge of LLM fine‑tuning, prompt engineering, RAG architectures, and modern agentic frameworks (Strands, LangGraph, Google ADK) with validated ability to architect and optimise agent‑based solutions
• Hands‑on experience with GenAI/LLM systems - prompt engineering, loop engineering, retrieval‑augmented generation, model serving (vLLM), and OpenAI‑compatible API surfaces
• Experience with AWS services - EC2/EKS, S3, IAM, RDS, and at least one AI service (Bedrock, SageMaker)
• Hands‑on experience with Docker and Kubernetes - containerising applications and deploying to orchestrated environments
• Experience with distributed systems architecture - microservices, cloud platforms, active‑active replication, failover strategies, and data consistency patterns
• Proven ability to communicate complex technical architectures to senior leadership and cross‑functional stakeholders

Additional valued skills

• Experience building evaluation frameworks for agentic systems including agent benchmarking, reasoning traces, and monitoring observability for multi‑step AI workflows in production
• Experience in vector databases, knowledge graphs, semantic search, and memory systems for stateful agents with understanding of retrieval optimisation and context management
• Experience building AI safety/guardrails systems - content filtering, prompt injection detection, PII redaction, toxicity detection
• Knowledge of AI security frameworks - NIST AI RMF, MITRE ATLAS, OWASP LLM Top 10
• Experience with model fine‑tuning (LoRA, RLHF, supervised fine‑tuning) for domain‑specific SLMs
• Knowledge of responsible AI practices, model governance, and security considerations for autonomous systems
• Background in financial services - understanding of regulatory requirements, data residency, and compliance obligations
• Experience with policy engines (OPA/Rego) and zero‑trust identity models with OAuth2/OIDC (EntraID/Azure AD)
• Experience with cost attribution and chargeback models for shared AI infrastructure platforms

You may be assessed on the 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 Bengaluru and Pune office.

Our Work Experience is the combination of everything that's unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs but most importantly, it's our people. Our employees are self‑disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.