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AI Solution Lead

Job in Montvale, Bergen County, New Jersey, 07645, USA
Listing for: Orion Innovation
Full Time position
Listed on 2026-06-12
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, AI Evaluation
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: Montvale

AI Solution Lead – Generative AI & Large Language Models

Team and Responsibilities

The AI Solution Lead will work closely with engineering teams and client stakeholders to translate cutting-edge AI capabilities into reliable production systems
, while ensuring governance, transparency, and responsible AI practices
.

The ideal candidate combines technical depth, research awareness, and strong communication skills
, enabling them to represent our company confidently in front of senior client stakeholders.

Key Responsibilities
  • AI Solution & Design
  • Design and deliver enterprise-grade AI solutions leveraging Generative AI and Large Language Models
    .
  • Define designs for LLM-based systems, agentic workflows, retrieval-augmented generation (RAG), and AI copilots
    .
  • Evaluate and select appropriate models, frameworks, and infrastructure for production AI systems.
  • Ensure scalability, reliability, and performance of deployed AI solutions.
  • Model evaluation and benchmarking
  • Design approaches for fine-tuning, prompt engineering, and model adaptation
    .
  • Guide teams on best practices in ML pipelines, experimentation, and model lifecycle management
    .
Production Deployment & MLOps
  • Lead deployment of machine learning and GenAI systems into production environments
    .
  • Architect and implement MLOps pipelines
    , model monitoring, and continuous improvement processes.
  • Ensure AI systems are secure, scalable, and operationally maintainable
    .
AI Governance & Responsible AI
  • Implement frameworks for:
  • AI governance
  • Transparency
  • Ensure compliance with enterprise AI governance standards and regulatory expectations
    .
  • Define policies for model validation, bias mitigation, and responsible deployment
    .
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