LOG IN
SIGN UP
Canary Wharfian - Online Investment Banking & Finance Community.
Sign In
Forgot password?
Don't have an account?
or
Join Canary Wharfian
By signing up, you agree to our Terms & Conditions and Privacy Policy.
or

AI Engineer, AVP

ExperiencedNo visa sponsorship
Barclays logo

at Barclays

Bulge Bracket Investment Banks

Posted 14 days ago

No clicks

**AI Engineer, AVP - Henderson, NV** (Multiple Positions Available) - Build & deploy AI/GenAI apps: Retrieval-Augmented Generation (RAG), conversational AI, agentic workflows, intelligent automation. - Design backend services & APIs integrating AI models with enterprise data platforms & business applications. - Architect & manage cloud-native AI workloads on Kubernetes & Amazon EKS, optimize performance & cost efficiency. - Implement MLOps/LLMOps practices, secure networking solutions, and CI/CD pipelines. - Collaborate with stakeholders for production-ready AI deployments, adhering to governance, security & audit requirements. - **Required Skills & Experience**: Proven expertise in AI/ML, cloud architecture, containerization, and data security. Experience leading teams and driving projects within a financial or similarly complex organization. Bachelor's degree in Computer Science, Artificial Intelligence, or related field.

Compensation
$165,755 – $175,000 USD

Currency: $ (USD)

City
Not specified
Country
United States

Full Job Description

What will you be doing?

Barclays Services LLC seeks AI Engineer, AVP in Henderson, NV (multiple positions available):

  • 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

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.

This position is eligible for incentives pursuant to Barclays Employee Referral Program.


#LI-DNI

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

  • Identification, collection, extraction of data from various sources, including internal and external sources.
  • Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis.
  • Development and maintenance of efficient data pipelines for automated data acquisition and processing.
  • Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data.
  • Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.
  • Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.

Assistant Vice President Expectations

  • To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
  • 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
  • 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 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.
  • Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
  • Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
  • Take ownership for managing risk and strengthening controls in relation to the work done.
  • 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.
  • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
  • 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.
  • Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
  • Influence or convince stakeholders 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.

Back to nav

AI Engineer, AVP

Compensation

$165,755 – $175,000 USD

City: Not specified

Country: United States

Barclays logo
Bulge Bracket Investment Banks

14 days ago

No clicks

at Barclays

ExperiencedNo visa sponsorship

**AI Engineer, AVP - Henderson, NV** (Multiple Positions Available) - Build & deploy AI/GenAI apps: Retrieval-Augmented Generation (RAG), conversational AI, agentic workflows, intelligent automation. - Design backend services & APIs integrating AI models with enterprise data platforms & business applications. - Architect & manage cloud-native AI workloads on Kubernetes & Amazon EKS, optimize performance & cost efficiency. - Implement MLOps/LLMOps practices, secure networking solutions, and CI/CD pipelines. - Collaborate with stakeholders for production-ready AI deployments, adhering to governance, security & audit requirements. - **Required Skills & Experience**: Proven expertise in AI/ML, cloud architecture, containerization, and data security. Experience leading teams and driving projects within a financial or similarly complex organization. Bachelor's degree in Computer Science, Artificial Intelligence, or related field.

Full Job Description

What will you be doing?

Barclays Services LLC seeks AI Engineer, AVP in Henderson, NV (multiple positions available):

  • 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

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.

This position is eligible for incentives pursuant to Barclays Employee Referral Program.


#LI-DNI

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

  • Identification, collection, extraction of data from various sources, including internal and external sources.
  • Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis.
  • Development and maintenance of efficient data pipelines for automated data acquisition and processing.
  • Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data.
  • Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.
  • Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.

Assistant Vice President Expectations

  • To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
  • 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
  • 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 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.
  • Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
  • Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
  • Take ownership for managing risk and strengthening controls in relation to the work done.
  • 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.
  • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
  • 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.
  • Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
  • Influence or convince stakeholders 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.

Back to nav