AI Engineer, AVP
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Before you apply
LocationHenderson, 2280 Corporate Circle
Typefull-time
SeniorityVP
Company size10,000+ people
PostedOct 28, 2026 · 1w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Build and deploy AI/GenAI applications including Retrieval-Augmented Generation (RAG), conversational AI, agentic workflows, and intelligent automation solutions
Design and develop scalable backend services, APIs, and integrations connecting AI models with enterprise data platforms and business applications
Architect and manage cloud-native AI workloads running on containerized platforms including Kubernetes and Amazon EKS
Build and maintain CI/CD pipelines, infrastructure-as-code, model deployment frameworks, monitoring, and operational telemetry
Design secure networking solutions including VPC architecture, private connectivity, load balancing, service-to-service communication, API gateways, DNS, and network security controls
Optimize AI application performance, scalability, availability, and cost efficiency across computing, storage, and networking layers
Implement MLOps/LLMOps practices including model versioning, automated testing, deployment, observability, rollback, and lifecycle management
Partner with business and technology stakeholders to deploy production-ready AI capabilities while adhering to governance, security, and audit requirements
Skills
AI
GenAI
Retrieval-Augmented Generation
RAG
Kubernetes
Amazon EKS
CI/CD
infrastructure-as-code
MLOps
LLMOps
Job Description
Purpose of the role
To use innovative data analytics and machine learning techniques to extract valuable insights from the bank’s data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation.
Accountabilities
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Identification, collection, extraction of data from various sources, including internal and external sources.
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Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis.
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Development and maintenance of efficient data pipelines for automated data acquisition and processing.
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Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data.
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Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.
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Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.
Assistant Vice President Expectations
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To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
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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
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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.
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OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
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Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
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Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
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Take ownership for managing risk and strengthening controls in relation to the work done.
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Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
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Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
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Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
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Communicate complex information. ‘Complex’ information could include sensitive information or information that is difficult to communicate because of its content or its audience.
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Influence or convince stakeholders to achieve outcomes.
About the company
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.
What will you be doing?
Barclays Services LLC seeks AI Engineer, AVP in Henderson, NV (multiple positions available):
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Build and deploy AI/GenAI applications including Retrieval-Augmented Generation (RAG), conversational AI, agentic workflows, and intelligent automation solutions.
•
Design and develop scalable backend services, APIs, and integrations connecting AI models with enterprise data platforms and business applications.
•
Architect and manage cloud-native AI workloads running on containerized platforms including Kubernetes and Amazon EKS.
•
Build and maintain CI/CD pipelines, infrastructure-as-code, model deployment frameworks, monitoring, and operational telemetry.
•
Design secure networking solutions including VPC architecture, private connectivity, load balancing, service-to-service communication, API gateways, DNS, and network security controls.
•
Optimize AI application performance, scalability, availability, and cost efficiency across computing, storage, and networking layers.
•
Implement MLOps/LLMOps practices including model versioning, automated testing, deployment, observability, rollback, and lifecycle management.
•
Partner with business and technology stakeholders to deploy production-ready AI capabilities while adhering to governance, security, and audit requirements.
Salary / Rate Minimum/yr: $165,755 per year
Salary / Rate Maximum/yr: $175,000 per year
Legal
The minimum and maximum salary/rate information above include only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available*.*
Benefits
This position is eligible for incentives pursuant to Barclays Employee Referral Program.