An Artificial Intelligence Engineer develops, tests, and deploys artificial intelligence models. May work closely with data software engineers and data professionals to train and implement AI models into existing systems or develop new applications.
Senior AI Solutions Architect ContractC2C Basking Ridge, NJ (Hybrid - 3 Days Onsite)
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GC-EADH1BH4-EADTNEAD
Job Summary:
We are seeking a Senior AI Solutions Architect with 10+ years of experience in solution architecture and enterprise application development, along with deep expertise in Generative AI, LLMs, and Agentic AI. The ideal candidate will lead the design and delivery of secure, scalable AI solutions, working closely with business and technology stakeholders to drive AI transformation across the enterprise. Responsibilities Architect and deliver enterprise-scale Generative AI, LLM, RAG, and Agentic AI solutions. Design secure, scalable AI platforms, multi-agent architectures, and intelligent workflow orchestration. Partner with business stakeholders to translate strategic objectives into AI solution architectures and implementation roadmaps. Design and implement enterprise integrations using Python, Google Apps Script, REST APIs, and microservices. Leverage AI development tools such as Claude Code to accelerate development and improve engineering productivity. Define AI architecture standards, security, governance, MLOps, and deployment best practices. Lead technical design reviews, mentor engineering teams, and provide architecture governance throughout the project lifecycle. Collaborate with cloud, security, data, and application teams to deliver production-ready AI solutions. Drive AI adoption by aligning technical solutions with measurable business outcomes and ROI. Required Skills 10+ years of experience in Solution Architecture, Enterprise Architecture, or AI Solution Design. Strong expertise in Generative AI, LLMs, RAG, Agentic AI, AI Agents, and AI orchestration frameworks. Advanced proficiency in Python, Google Apps Script, REST APIs, microservices, and enterprise integrations. Experience with enterprise AI platforms such as Vertex AI, Google Cloud AI, OpenAI, Anthropic, LangChain, LangGraph, or similar frameworks. Strong knowledge of MLOps, AI governance, security, scalability, and cloud-native architectures. Excellent stakeholder management, consulting, communication, and technical leadership skills. Desired Skills Experience architecting AI solutions for Marketing, MarTech, Customer Experience, or Digital Transformation initiatives. Cloud certifications such as Google Cloud, AWS, or Azure, and AI-related certifications. Experience leading enterprise AI transformation programs in Agile environments. Refer
