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BUS ANAL - Senior Specialist AI & Data Solutions
Job
Eclaro
Lawrence Township, NJ (In Person)
$125,964 Salary, Full-Time
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Job Description
Senior Specialist AI & Data Solutions Job Number:
26-00981 Be part of a company that delivers life-changing healthcare solutions. ECLARO is looking for a Senior Specialist AI & Data Solutions for our client in Lawrence Township, NJ. ECLARO's client is a leader in the Biopharmaceutical Industry, providing quality, innovative, and affordable medicines that make a difference in the lives of patients all over the world. If you're up to the challenge, then take a chance at this rewarding opportunity!Position Overview:
This role serves as the Web Delivery Lead within the Global Digital Engagement Platforms team, responsible for leading the end-to-end delivery of enterprise websites built on the Adobe Experience Manager (AEM) platform. Combines strong delivery management capabilities with hands-on technical proficiency in Python, AI/ML model integration, and prompt engineering to drive next-generation digital experiences. Lead a cross-functional delivery team across global markets, ensuring websites are launched on time, within scope, and aligned with brand, compliance, and accessibility standards. Beyond traditional delivery leadership, this role demands a builder's mindset someone who can architect automation solutions, train and fine-tune AI models for content operations, and embed intelligent capabilities into the web delivery lifecycle. This is a unique opportunity to sit at the intersection of delivery excellence, platform engineering, and AI innovation, shaping how the company engages patients, healthcare professionals, and caregivers through its global web channel.Responsibilities:
Delivery Leadership & Governance:
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.AEM Platform Expertise:
Maintain hands-on expertise across AEM Sites, Assets and Cloud Service. Guide the team on component development, template design, content fragment modeling, and multi-site management. Support adoption of headless CMS capabilities, GraphQL APIs, and omnichannel content delivery.Python, AI/ML & Prompt Engineering:
Develop and maintain Python-based automation scripts and tools to streamline website setup, content migration, metadata enrichment, QA validation, and reporting workflows. Design, train, and fine-tune AI/ML models for web delivery use cases, including: Automated content tagging and classification Intelligent content generation and summarization for web pages Predictive analytics for website performance and user engagement Image and asset optimization using computer vision models. Lead prompt engineering initiatives crafting, testing, and optimizing prompts for large language models (LLMs) to support: Automated generation of web copy, meta descriptions, and SEO content AI-assisted MLR submission package preparation Conversational AI and chatbot build for company web properties Intelligent content review and compliance pre-screening. Build and operationalize AI-powered workflows within the AEM ecosystem, integrating with APIs from OpenAI, Azure AI, AWS Bedrock, or similar platforms. Evaluate emerging AI tools and frameworks, prototype innovative solutions, and present business cases for adoption. Establish prompt libraries, model evaluation benchmarks, and AI governance standards for the web delivery team.Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering, or related field; 2-3+ years in web delivery/digital platforms. AEM platform expertise- AEM Sites, Cloud Service, Java, OSGi, JCR, JavaScript, Content Fragments. Python (3.x) proficiency
- automation scripting, API integrations, and ML model development using TensorFlow, PyTorch, or Hugging Face. AI/ML & prompt engineering
- experience with LLMs (GPT, Claude, LLaMA), prompt optimization, model fine-tuning, RAG patterns, and vector databases.
Pay Rate:
$58.78- 62.