Barclays · 1 day ago
AI Engineer
Whippany, NJ
Full-time
Onsite
Mid, Senior Level
$120K/yr - $175K/yrBarclays is redefining the future of banking and is seeking an AI Engineer to design and build secure, scalable GenAI and agentic AI capabilities. The role involves owning core LLM services, developing AI solutions, and ensuring compliance with governance standards while collaborating with data scientists to enhance trading workflows and data services.
BankingConsumerFinancial ServicesWholesale
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. 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
Qualification
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
Incentive award
Company
Barclays
Barclays is a transatlantic consumer and wholesale bank with global reach, offering products, and services.
Founded in 1690
10001+ employees
H1B Sponsorship
Barclays 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
Represents job field similar to this job
Trends of Total Sponsorships
2025 (621)
2024 (610)
2023 (639)
2022 (720)
2021 (571)
2020 (448)
Funding
Current Stage
Public CompanyTotal Funding
unknown1986-09-09IPO
Leadership Team
Geoffrey Belsher
Chief Executive Officer for Canada
David Morris
Head of Engineering, Colleague Platforms
Recent News
2026-01-09
GlobeNewswire
2026-01-09
2026-01-09
Company data provided by crunchbase