# Assistant Vice President - Applied AI Engineer

**Company**: Barclays
**Location**: Bengaluru, Maruthi Onyx - TESCO TSA
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Finance

**Apply**: https://barclays.wd3.myworkdayjobs.com/en-US/External_Career_Site_Barclays/job/Bengaluru-Maruthi-Onyx---TESCO-TSA/Assistant-Vice-President---Applied-AI-Engineer_JR-0000125361-3?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_695159fd-dbc

## Description

We are seeking an Assistant Vice President - Applied AI Engineer to design and build core AI/ML solutions that power our enterprise AI capabilities.

You will take ownership of significant AI subsystems , from agentic workflows and LLM applications to evaluation pipelines and MLOps tooling , delivering production-grade solutions that are secure, scalable, and aligned with our architectural vision.

Your responsibilities will include:

- Development and delivery of high-quality software solutions using industry-aligned programming languages, frameworks, and tools.

- Cross-functional collaboration with product managers, designers, and other engineers to define software requirements and devise solution strategies.

- Collaboration with peers, participation in code reviews, and promotion of a culture of code quality and knowledge sharing.

- Staying informed of industry technology trends and innovations and actively contributing to the organisation’s technology communities.

- Adherence to secure coding practices to mitigate vulnerabilities and ensure secure software solutions.

- Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.

As an Assistant Vice President, you will be expected to:

- Advise and influence decision-making, contribute to policy development, and take responsibility for operational effectiveness.

- Lead a team performing complex tasks, using well-developed professional knowledge and skills to deliver on work that impacts the whole business function.

- Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives, and determination of reward outcomes.

You will need to have:

- A Bachelor's degree (or above) in Computer Science, Engineering, Mathematics, or a related discipline.

- 8+ years of software engineering experience with at least 3 years building AI/ML systems, scalable ML infrastructure, or model serving platforms at enterprise scale.

- Strong proficiency in Python (FastAPI, asyncio) and/or Go/Java, with production experience building APIs and microservices serving high-throughput, low-latency workloads.

- Hands-on experience developing agentic AI systems and LLM applications, including multi-agent orchestration, tool use, planning frameworks, and deployment of multi-step AI workflows.

- Solid technical knowledge of prompt engineering, RAG architectures, and modern agentic frameworks.

- Working experience with GenAI/LLM systems , prompt engineering, retrieval-augmented generation, model serving, and OpenAI-compatible API surfaces.

- Strong understanding of distributed systems architecture , microservices, cloud platforms, API design, and event-driven architectures.

- Experience with AWS services , EC2/EKS, S3, IAM, RDS, and at least one AI service.

- Hands-on experience with Docker and Kubernetes , containerising applications and deploying to orchestrated environments.

- Experience with CI/CD pipelines, Infrastructure-as-Code, and observability tools.

Some other highly valued skills may include:

- Experience building evaluation frameworks for agentic systems.

- Experience in vector databases, knowledge graphs, semantic search, and memory systems for stateful agents.

- Experience implementing AI safety controls.

- Knowledge of AI security frameworks.

- Familiarity with model fine-tuning techniques.

- Knowledge of responsible AI practices, model governance, and security considerations for autonomous systems.

- Understanding of Zero Trust architecture and identity systems.

- Background in financial services , understanding of regulatory requirements, data residency, and compliance obligations.

- Experience with GPU workload management and inference optimisation.

## Skills

### Required
- Python
- Go/Java
- AI/ML systems
- scalable ML infrastructure
- model serving platforms
- agentic AI systems
- LLM applications
- distributed systems architecture
- cloud platforms
- API design
- event-driven architectures
- AWS services
- Docker
- Kubernetes
- CI/CD pipelines
- Infrastructure-as-Code
- observability tools

### Nice to have
- evaluation frameworks for agentic systems
- vector databases
- knowledge graphs
- semantic search
- memory systems for stateful agents
- AI safety controls
- AI security frameworks
- model fine-tuning techniques
- responsible AI practices
- model governance
- security considerations for autonomous systems
- Zero Trust architecture
- identity systems
- GPU workload management
- inference optimisation

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Source: [Apply at barclays.wd3.myworkdayjobs.com](https://barclays.wd3.myworkdayjobs.com/en-US/External_Career_Site_Barclays/job/Bengaluru-Maruthi-Onyx---TESCO-TSA/Assistant-Vice-President---Applied-AI-Engineer_JR-0000125361-3?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)