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Senior Specialist AI & Data Solutions

Date Posted: Jul 30, 2026
Yearly: USD 430.00 - USD 4895.00

Job Detail

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    Location Lawrenceville, New Jersey, United States of America
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    Job Type: Permanent
  • schedule
    Shift:
  • analytics
    Career Level:
  • group
    Positions:
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    Experience:
  • male
    Gender: No Preference
  • school
    Degree:
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    Apply Before: Oct 29, 2026

Job Description

Overview

Job Title: Senior Specialist AI & Data Solutions Location: 50% onsite at Lawrence Township, NJ Duration: Temp - 12 months Pay Range: $38-48/hr (W2) Work Schedule: Mon-Fri, 8am-5pm About TSR TSR is a trusted staffing and workforce solutions partner with more than 50 years of experience delivery highly qualified talent to support clients' most critical business and technology initiatives. Through a disciplined approach to sourcing, candidate vetting, and delivery, TSR helps organizations scale teams quickly while maintaining quality and reliability. TSR operates with a global delivery model, leveraging specialized teams to support enterprise clients across North America and beyond. In June 2024, TSR was acquired by Justin Christian, founder and CEO of BCforward, a global provider of professional services and workforce solutions. This partnership expands TSR's ability to deliver broader capabilities, global delivery resources, and enhanced opportunities for both clients and consultants. Job Description We are seeking a Senior Specialist AI & Data Solutions to join our Global Digital Engagement Platforms team as the Web Delivery Lead. The ideal candidate will have strong experience in delivery leadership for Adobe Experience Manager (AEM), Python-based automation, AI/ML model integration, and prompt engineering and a proven ability to launch enterprise websites on time and within scope while embedding AI-powered capabilities across the web delivery lifecycle. Responsibilities: Lead end-to-end delivery of AEM-based websites across global markets, managing timelines, risks, and stakeholder expectations. Define and enforce delivery standards including intake workflows, QA processes, and go-live readiness criteria. Manage and mentor a distributed team of developers, content authors, and QA specialists. Ensure compliance with regulatory, accessibility (WCAG/EAA), cookie consent, and governance requirements. Maintain hands-on expertise across AEM Sites, Assets, and Cloud Service, guiding component development, template design, content fragment modeling, and multi-site management. Support adoption of headless CMS capabilities, GraphQL APIs, and omnichannel content delivery. Develop and maintain Python automation for site setup, content migration, metadata enrichment, QA validation, and reporting. Design, train, and fine-tune AI/ML models for automated tagging, content generation and summarization, predictive analytics, and image optimization. Lead prompt engineering initiatives for LLM-driven web copy, meta descriptions, SEO content, MLR package preparation, chatbots, and compliance pre-screening. Build and operationalize AI-powered workflows within AEM using APIs from OpenAI, Azure AI, AWS Bedrock, or similar platforms. Evaluate emerging AI tools and frameworks, prototype solutions, and present business cases for adoption with clear governance and benchmarks. Required Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. 2-3+ years in web delivery or digital platforms. AEM expertise: Sites, Cloud Service, Java, OSGi, JCR, JavaScript, Content Fragments, and multi-site management. Python 3.x proficiency for automation scripting, API integrations, and ML model development using TensorFlow, PyTorch, or Hugging Face. AI/ML and prompt engineering experience with LLMs (e.g., GPT, Claude, LLaMA), prompt optimization, model fine-tuning, RAG patterns, and vector databases. Proven ability to lead globally distributed, cross-functional teams in agile environments with clear stakeholder communication. Working knowledge of Adobe Experience Cloud, cloud platforms (AWS, Azure, GCP), and DevOps tooling (CI/CD, Docker, Kubernetes). Familiarity with CDN, DNS, WAF, cookie consent, web accessibility (WCAG/EAA), and pharma or life sciences compliance requirements. Experience with NLP, personalization algorithms, semantic search, and evaluation of emerging AI technologies. Preferred Skills: Experience with

Key responsibilities

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Required skills

  • I.T. & Communications

What the company offers

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Company Overview

Pennington, New Jersey, United States of America

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