AI/ML Solution Architect - Part time

Company Description

Job Description

Job title: AI-ML Solution Architect
Location: New Jersey, USA – Hybrid/Remote

About the Role

We're seeking a strategic AI-ML Solution Architect with a strong background in transportation and healthcare to lead AI platform architecture, advisory, and implementation initiatives. The ideal candidate brings a deep understanding of ML, LLMs, cloud integration, and business alignment to drive enterprise-scale AI solutions.

Key Responsibilities

• Provide strategic and advisory leadership on AI/ML initiatives across transportation and healthcare domains.
• Perform gap analysis, define high-impact AI use cases, and guide solution development to address them.
• Architect scalable AI platforms leveraging ML, Deep Learning, and LLMs across cloud ecosystems (GCP, Azure, AWS).
• Collaborate closely with business teams to gather requirements and translate them into AI-driven outcomes.
• Integrate and optimize LLMs from major AI platforms, including OpenAI (ChatGPT), Google Gemini, Groq, and Azure OpenAI, tailored to enterprise use cases.
• Lead infrastructure design, cloud service selection, data pipeline creation, and model deployment.
• Define and enforce AI/ML architecture standards, data governance, and security best practices.
• Evaluate emerging AI tools and platforms for enterprise fit and strategic value.
• Communicate architectural decisions to technical and executive stakeholders.
• Mentor development teams and optimize performance across cross-functional environments.

Required Experience & Skills

• 15+ years in IT, including 5+ years in AI/ML solution architecture.
• Proven ability to engage with business teams, define AI opportunities, and deliver solutions.
• Strong domain knowledge in transportation/transit and healthcare.
• Expertise in ML/DL frameworks (TensorFlow, PyTorch, Scikit-Learn) and LLMs integration.
• Hands-on experience with cloud AI platforms: GCP, Azure, AWS.
• Skilled in MLOps, data engineering, containerization (Docker, Kubernetes), and CI/CD pipelines.
• Familiarity with model lifecycle management, governance, and compliance.
• Excellent communication and leadership skills to influence across technical and executive levels.

Regards,

Hameed Shaikh       

Additional Information

All your information will be kept confidential according to EEO guidelines.