VP – AI Engineering Lead

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VP - AI Engineering Lead utilizing data analytics and machine learning to drive innovation at Barclays. Leading development and deployment of Generative AI systems for enhancing customer servicing.

Posted 7/16/2026full-timeWhippany • Nevada, New Jersey • 🇺🇸 United StatesSenior💰 $150,000 - $230,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in designing and deploying production-grade Generative AI systems, with a strong focus on building scalable AI/ML platforms in cloud environments. Proficient in Python-based AI/ML development and experienced in leading engineering teams to deliver complex AI programs.

Highest-signal resume keywords

Generative AI Systems DesignAI/ML Platform DevelopmentPython-Based AI/ML DevelopmentEnd-to-End AI Pipeline ArchitectureCloud Environment Expertise (AWS or Azure)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsMachine Learning TechniquesData CleaningData WranglingData TransformationStatistical ModelingAI Pipeline DevelopmentContainerizationScalable DeploymentMulti-Step Reasoning Systems

Soft Skills

CollaborationRisk ManagementStakeholder EngagementTeam Leadership

Tools & Technologies

AWSAzurePyTorchTensorFlowScikit-learnAWS BedrockAzure OpenAI

Industry Keywords

Data ExtractionData SourcesData PipelinesAI EcosystemsAgentic Orchestration

Tech Stack

Tools & technologies

AWSAzureCloudPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

use innovative data analytics and machine learning techniques to extract valuable insights
identification, collection, extraction of data from various sources
performing data cleaning, wrangling, and transformation
development and maintenance of efficient data pipelines
design and conduct of statistical and machine learning models
collaborate with business stakeholders to seek out opportunities to add value from data
manage and mitigate risks through assessment
demonstrate comprehensive understanding of the organisation functions

Requirements

What you’ll need

Proven experience designing and deploying production-grade Generative AI systems
Considerable hands-on expertise in building scalable AI/ML platforms in cloud environments (AWS or Azure)
Deep experience architecting end-to-end AI pipelines
Solid proficiency in Python-based AI/ML development (e.g., PyTorch, TensorFlow, scikit-learn)
Demonstrated ability to lead engineering teams and deliver complex AI programs
Experience with LLM platforms and ecosystems (e.g., AWS Bedrock, Azure OpenAI)
Familiarity with agentic orchestration and multi-step reasoning systems
Practical experience with containerization and scalable deployment

Benefits

Comp & perks

medical, dental and vision coverage
401(k)
life insurance
other paid leave for qualifying circumstances
incentive award