We have 5 urgent openings for "AI Architect". These are remote roles.
Only looking for candidates who can work on W2
Strictly no C2C or third-party vendors
Location: Remote
Duration: Long term contract
Key Responsibilities
- Lead the strategy, architecture, and technical design of enterprise AI, Generative AI, and Agentic AI solutions.
- Architect sophisticated conversational AI/chatbot platforms capable of supporting complex workflows, reasoning, orchestration, and enterprise integrations.
- Design agentic and multi-agent AI architectures, including agent-to-agent transactions, communication, orchestration, tool usage, and workflow execution.
- Design and implement Retrieval-Augmented Generation (RAG) architectures leveraging enterprise structured and unstructured data.
- Architect solutions utilizing knowledge graphs to improve contextual understanding, reasoning, relationships, and information retrieval.
- Develop and guide machine learning and Generative AI solutions across enterprise use cases.
- Design AI architectures leveraging Model Context Protocol (MCP) to securely connect AI agents and models with enterprise tools, systems, APIs, and data sources.
- Architect and deploy AI/ML solutions within Google Cloud Platform (GCP), leveraging appropriate cloud-native AI, data, compute, and integration services.
- Lead architecture discussions and technical strategy sessions with senior business and technology stakeholders.
- Translate complex business requirements and technical documentation into clear AI solution designs, architecture patterns, roadmaps, and implementation strategies.
- Evaluate AI technologies, models, frameworks, and architectural approaches and provide recommendations based on business and technical requirements.
- Establish best practices around AI scalability, security, governance, performance, reliability, and responsible AI.
- Provide technical leadership and architectural guidance to engineering, data science, machine learning, and platform teams.
- Develop prototypes and reference implementations using Python to validate architectural concepts and AI capabilities.
Required Qualifications
- Extensive experience as an AI Solutions Architect, AI Architect, ML Architect, or similar senior technical architecture role.
- Strong experience architecting complex enterprise chatbot and conversational AI solutions.
- Deep understanding of Agentic AI and multi-agent systems, including agent-to-agent (A2A) communication, orchestration, reasoning, tool calling, and autonomous workflows.
- Strong hands-on experience with Generative AI and Large Language Models (LLMs).
- Strong experience designing and implementing Retrieval-Augmented Generation (RAG) solutions.
- Experience with knowledge graphs, semantic relationships, graph-based retrieval, and/or knowledge-driven AI architectures.
- Strong foundation in machine learning concepts, architectures, and production ML solutions.
- Experience with Model Context Protocol (MCP) and integrating AI applications/agents with enterprise systems, APIs, tools, and data.
- Deep experience with Google Cloud Platform (GCP) and building scalable AI/ML solutions in the GCP ecosystem.
- Strong Python development experience for AI/ML applications, integrations, prototyping, and solution development.
- Experience working with structured and unstructured enterprise data, including document ingestion, extraction, translation, summarization, and intelligent document processing.
- Strong understanding of APIs, microservices, cloud architecture, data integration, security, and enterprise application architecture.
- Ability to communicate complex AI concepts to both technical and non-technical stakeholders.
- Demonstrated ability to drive AI strategy, influence architectural decisions, and lead technical conversations across multiple teams.
ABOUT US:
Anagh Technologies is a technical consulting firm specializing in UI, Front-End, and Full-Stack web technologies. We currently have 30+ positions in Angular, React, Node, and Java.
If technically strong, we can 100% get you an offer within 2 weeks MAX, as we will consider you for multiple roles at once. Thank you for your time.