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.

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.

Machine Learning & Model Expertise

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.

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
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.

Client Engagement & Technical Leadership

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.

Research & Innovation

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.

Required Qualifications

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.

Preferred Qualifications

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.

Key Skills

Technical Skills

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

Professional Skills

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

Work Environment

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.

What Success Looks Like in This Role

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.

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AI Solution Lead

Meet the Hiring Team