AI Architect

Anagh Technologies Inc

United States

Remote

USD 180,000 - 260,000

Full time

7 hours ago
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Job summary

Anagh Technologies Inc is seeking an AI Architect for remote, long-term engagement. You will lead enterprise AI strategy and design, building scalable conversational AI and agentic systems that integrate with enterprise data, tools, and APIs.

Responsibilities include architecting RAG and knowledge-graph based solutions, employing MCP concepts, and guiding cross-functional teams. Strong Python, GCP experience, and ability to communicate complex AI concepts are essential.

Qualifications

  • Extensive experience as an AI Solutions Architect or similar senior role.
  • Strong experience architecting complex enterprise chatbot solutions.
  • Deep understanding of Agentic AI and multi-agent systems with agent-to-agent communication and orchestration.
  • Hands-on experience with Generative AI and Large Language Models (LLMs).
  • Experience with Retrieval-Augmented Generation (RAG) and knowledge graphs.

Responsibilities

  • Lead strategy, architecture, and design of enterprise AI, Generative AI, and Agentic AI solutions.
  • Architect conversational AI/chatbot platforms supporting complex workflows and enterprise integrations.
  • Design agentic and multi-agent architectures, including agent-to-agent communication and autonomous workflows.
  • Design Retrieval-Augmented Generation architectures using enterprise data.
  • Architect solutions leveraging knowledge graphs to improve retrieval, reasoning, and context.
  • Provide technical leadership and guide engineering, data science, ML, and platform teams.
  • Develop prototypes and reference implementations using Python to validate concepts.

Skills

AI architecture
Conversational AI
Multi-agent systems
Generative AI/LLMs
RAG architectures
Knowledge graphs
Python development
Cloud architecture (GCP)
API/integration design
Technical leadership

Tools

None

Job description

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.

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