AI Solution Lead

Title:

AI Solution Lead Experience :12-18 years

Location:

Montvale, NJ (T,W,T) & Iselin, NJ (M,F) Duration Long Term Team and Responsibilities

Job Title:

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.

• 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.

• Provide deep technical expertise in:
• Large Language Models (LLMs)
• Transformer architectures
• Generative AI techniques
• 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
  .

• 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
  .

• Implement frameworks for:
• AI governance
• Model explainability
• Transparency
• Risk management
• Ensure compliance with enterprise AI governance standards and regulatory expectations
  .
• Define policies for model validation, bias mitigation, and responsible deployment
  .

• Act as a trusted technical advisor to client stakeholders.
• Clearly communicate complex AI concepts to executives, architects, and engineering teams
  .
• Represent the company with credibility in technical and strategic discussions around AI adoption
  .
• Work closely with client teams to translate business problems into AI-driven solutions.

• Stay current with emerging developments in:
• Generative AI
• Large language models
• AI agents and agentic architectures
• AI infrastructure and tooling
• Evaluate new research and technologies to determine their practical applicability in enterprise environments
  .
• Help shape the organization s AI strategy and technical direction
  .

• Master s degree in Data Science, Machine Learning, Computer Science, or related field
  .
• Strong expertise in machine learning fundamentals and modern generative AI technologies
  .
• Proven experience designing and deploying AI/ML systems in production environments
  .
• Deep knowledge of:
• Large Language Models
• Generative AI architectures
• ML pipelines and model lifecycle management
• Experience working with AI frameworks and ecosystems used for building GenAI applications
  .
• Experience implementing AI governance, explainability, and responsible AI practices
  .
• Strong understanding of enterprise software architecture and distributed systems
  .

• Experience with agentic AI systems and orchestration frameworks
  .
• Experience building RAG-based AI systems
  .
• Familiarity with AI platform engineering and scalable AI infrastructure
  .
• Contributions to AI research, open-source projects, or technical publications
  .
• Experience working with enterprise clients in regulated industries
  .

• Machine Learning & Data Science
• Large Language Models (LLMs)
• Generative AI systems
• AI agents and agentic framework
• MLOps and model lifecycle management
• AI governance and explainability

• Strong analytical and problem-solving capabilities
• Excellent communication and presentation skills
• Ability to simplify complex AI concepts for diverse audiences
• Collaborative mindset and ability to work effectively within teams
• Client-facing professionalism and credibility

• Full-time in-office role with collaboration across engineering and client teams.
• Weekly client visits for workshops and solution design sessions
  .
• High collaboration with data scientists, engineers, architects, and business stakeholders
  .

• Successfully designed and deliver production-grade AI systems
  .
• Become a trusted AI advisor to both internal teams and client stakeholders.
• Ensure responsible and governed adoption of AI technologies
  .

Help organizations translate GenAI innovation into real operational value
.