AI/ML Solution Architect

2T Consulting

New York, NY / Jersey City, NJ

Posted On: Aug 13, 2026

Posted On: Aug 13, 2026

Job Overview

Experience

10 - 20 Years

Salary

Depends on Experience

Work Arrangement

Hybrid

Travel Requirement

0%

Required Skills

  • AI/ML Solution Architecture
  • Generative AI
  • Agentic Engineering
  • AI Agent
  • Machine Learning
Job Description

We are seeking a Technology Architect with 10+ years of experience in designing and implementing enterprise AI/ML solutions. The ideal candidate will have strong expertise in AI/ML solution architecture, Generative AI, Agentic Engineering, and Machine Learning, with the ability to translate business requirements into scalable AI strategies and technical solutions.

Roles and Responsibilities
  • Design and architect comprehensive AI/ML solutions aligned with business objectives and technical requirements.
  • Develop and implement solutions leveraging Generative AI, Agentic Engineering, Machine Learning, and AI technologies.
  • Collaborate with business and technical stakeholders to translate business goals into AI strategies, architectures, and roadmaps.
  • Provide technical leadership across AI/ML solution design and implementation initiatives.
  • Guide engineering teams in developing scalable, secure, and production-ready AI solutions.
  • Evaluate emerging AI technologies and identify opportunities for business adoption.
  • Apply Responsible AI principles to AI solution architecture and implementation.
  • Support MLOps, model deployment, monitoring, and lifecycle management where required.
  • Mentor technical teams and contribute to architecture standards, best practices, and technical documentation.
Required Qualifications
  • 10+ years of overall IT/technology experience.
  • Strong experience in AI/ML Solution Architecture and Design.
  • Hands-on experience with Generative AI technologies and solutions.
  • Strong expertise in Agentic Engineering / AI Agent development.
  • Experience designing enterprise-scale AI solutions and architectures.
  • Strong stakeholder management, communication, and technical leadership skills.
  • Ability to bridge business requirements and technical execution.
Preferred Qualifications
  • Experience with MLOps and ML model lifecycle management.
  • Strong Machine Learning and Data Science knowledge.
  • Experience with Responsible AI frameworks and practices.
  • Experience leading and mentoring AI/ML engineering teams.
  • Exposure to enterprise AI transformation and modernization initiatives.

Job ID: 2C322046


Posted By

Shayne sha

Sr. Recruiter