Senior Solution AI Architect

This is a fully remote position, open to applicants in New Jersey.

📋 Description

• Design and oversee comprehensive AI and Generative AI solutions across enterprise applications.

• Create solutions utilizing LLMs, RAG, AI agents, embeddings, vector databases, and prompt engineering.

• Establish enterprise AI architecture standards, design patterns, and technological roadmaps.

• Assess AI use cases and suggest suitable models, platforms, frameworks, and architectural strategies.

• Seamlessly integrate AI solutions with enterprise applications, APIs, databases, and cloud services.

• Conduct architecture reviews, technical design discussions, and AI proof-of-concept initiatives.

• Collaborate effectively with business stakeholders, engineering teams, and senior management to convert business requirements into technical solutions.

• Develop best practices for AI security, governance, responsible AI, data privacy, scalability, and performance.

• Offer technical guidance and mentorship to engineering and AI development teams.

• Propel AI solutions from the initial concept and proof-of-concept stage to full production implementation.

• Preferred: develop enterprise AI copilots, intelligent assistants, and agentic AI solutions.

• Preferred: transition Generative AI solutions from proof-of-concept to enterprise production settings.

• Preferred: lead AI technology strategy and architectural decisions.

⛳️ Requirements

• Significant experience in Solution Architecture, Enterprise Architecture, or AI Architecture.

• Robust hands-on experience in designing Generative AI and LLM-based solutions.

• In-depth knowledge of RAG, AI agents, embeddings, vector databases, prompt engineering, and LLM application architecture.

• Familiarity with cloud AI platforms such as Azure AI / Azure OpenAI, AWS, or Google Cloud AI.

• Proficient in Python, APIs, microservices, databases, and cloud-native architecture.

• Experience in architecting secure and scalable enterprise applications.

• Understanding of MLOps/LLMOps, model evaluation, monitoring, and deployment.

• Strong grasp of AI governance, responsible AI, security, and data privacy principles.

• Exceptional communication, technical leadership, and stakeholder management abilities.

• Capability to articulate complex AI concepts to both technical and non-technical audiences.

• Relevant certifications in Cloud, AI, or Solution Architecture are preferred.

🏝️ Benefits

• Opportunity to work on cutting-edge AI technologies and solutions.

• Collaborative and innovative work environment.

• Professional development and mentorship opportunities.

• Competitive compensation and benefits package.