What are the responsibilities and job description for the AI-ML Solution Architect - Part time position at SpikeIT Global Solutions, Inc.?
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.
