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Barclays Investment Bank · 2 days ago

AI Engineer

Building 400-115 South Jefferson Rd Campus, Whippany

Full-time

Onsite

Mid, Senior Level

$120K/yr - $175K/yr

5+ years exp

Barclays Investment Bank is seeking an AI Engineer to build and maintain systems that collect, store, process, and analyze data. The role involves designing secure and scalable AI capabilities, collaborating with data scientists, and ensuring data governance and compliance standards are met.

BankingFinancial Services

H1B Sponsor Likely

Responsibilities

Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data

Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures

Development of processing and analysis algorithms fit for the intended data complexity and volumes

Collaboration with data scientist to build and deploy machine learning models

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

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

Qualification

AI/ML applicationsPythonLLM engineeringCloud-native solutionsData engineeringMLOpsCapital markets exposureGovernance practicesSoft skills

Required

Software development with direct experience building AI/ML applications

Being a Python engineer with good software craftsmanship, including testing, CI/CD, and performance

LLM engineering, including model selection and integration, prompt design, fine-tuning, RAG pipelines, evaluation, guardrails, and reusable LLM core services

Designing and deploying agentic AI solutions that orchestrate workflows and deliver context-aware insights securely and at scale

Building cloud-native AI solutions on AWS with a focus on scalability, reliability, and cost-efficient performance

Preferred

Exposure to capital markets domains such as trading, risk, or analytics

Data engineering fundamentals and integration with ML platforms

Practical MLOps, including model deployment, monitoring, and quality management

Experience working with governance and controls teams to embed responsible AI practices

Familiarity with enterprise virtual assistants, copilot patterns, or LLM-enabled colleague experiences

Benefits

Medical, dental and vision coverage

401(k)

Life insurance

Other paid leave for qualifying circumstances

Company

Barclays Investment Bank

Barclays Investment Bank offers large corporate clients with strategic advisory, financing, and risk management solutions. It is a sub-organization of Barclays Corporate Banking.

Founded in 1997

London, England, GBR

10001+ employees

https://www.investmentbank.barclays.com

H1B Sponsorship

Barclays Investment Bank has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2022 (1)