Job description

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.

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