AI Architect

Dear Candidates.

Greetings from Rays Techno Solutions inc

Role: AI Architect

Location: Charlotte NC (3 days Work from Office)

About the Role

We are seeking a highly experienced AI Architect to lead the design, strategy, and implementation of enterprise-scale AI solutions powered by Agentic AI, LLMs/SLMs, Autonomous Agents, and Generative AI platforms. The role will focus on architecting multi-agent systems, supervisory AI workflows with human-in-the-loop controls, evaluating agentic skills, design integration, workflows, and driving AI-led transformation across data and modernization initiatives. This role requires strong collaboration with business and technology stakeholders to translate AI innovation into scalable, governed, and business-aligned solutions.

Key Responsibilities

· Define architecture and design principles, support planning of technical implementation roadmaps.

· Partner with client stakeholders, Product Owner to identify, prioritize, and shape AI use cases aligned to business and data transformation goals.

· Architect autonomous agent platforms with supervisory controls, human-in-the-loop workflows, governance, and auditability.

· Design multi-agent systems leveraging planning, reasoning, memory, orchestration, and tool-calling capabilities.

· Define agent communication and interoperability frameworks using MCP (Model Context Protocol) and modern AI integration patterns.

· Evaluate and recommend optimal hybrid strategy for LLM/SLM and deterministic approach for enterprise AI applications, automation platforms, and transpiler solutions.

· Research emerging AI technologies, frameworks, and industry trends to provide strategic recommendations.

· Develop AI governance, safety, observability, security, and responsible AI frameworks.

· Define agent mapping, policy recommendations, and operating models for enterprise AI adoption.

· Collaborate with engineering, product, and business teams to establish reusable AI architecture patterns and standards.

· Support executive stakeholders through architecture reviews, technology assessments, workshops, and strategic advisory engagements.

Required Skills & Expertise

·       Agentic AI & Autonomous Systems

·       Multi-Agent Architectures

·       Agentic AI Workflows

·       Autonomous Agent Platforms

·       Human-in-the-Loop AI Systems

·       Supervisory AI Architectures

·       Agent Planning, Reasoning, and Memory

·       Tool Calling & Function Calling

·       Agent Governance and Guardrails

·       MCP (Model Context Protocol)

·       Generative AI & Foundation Models

·       OpenAI Models

·       Anthropic Claude

·       Azure OpenAI

·       Gemini

·       Llama Models

·       Large Language Models (LLMs)

·       Small Language Models (SLMs)

·       Prompt Engineering

·       Model Evaluation & Benchmarking

·       AI Safety and Responsible AI

·       AI Engineering & Platform Architecture

·       Python

·       FastAPI and API-Driven Architectures

·       Distributed Systems

·       Cloud-Native AI Platforms

·       RAG Architectures

·       Vector Databases and Semantic Search

·       AI Observability and Monitoring

·       Cloud & Enterprise Platforms

·       Microsoft Azure

·       AWS

·       Google Cloud Platform

·       Docker

·       Kubernetes

·       Terraform

·       CI/CD and DevOps Practices

·       AI Tools & Developer Productivity

·       Hands-on proficiency with modern AI-assisted engineering tools including:

·       Microsoft Copilot

·       GitHub Copilot

·       Devin

·       Claude Code

·       AI Coding Agents

·       AI-Powered Development Workflows

·       Knowledge & Retrieval Systems

·       Retrieval Augmented Generation (RAG)

·       Semantic Search

·       Vector Search

·       Hybrid Retrieval

·       Knowledge Graphs

·       Embeddings

·       Re-ranking Models

·       Context Engineering

Preferred Qualifications

·       Experience architecting enterprise AI platforms in regulated environments.

·       Experience designing supervisory AI systems with governance and compliance controls.

·       Strong understanding of AI risk management, explainability, and policy frameworks.

·       Experience with AI-driven modernization, code conversion, transpilers, and automation platforms.

·       Knowledge of Data Engineering, Data Governance, Data Quality, Metadata Management, and Analytics ecosystems.

·       Cloud Architecture certifications (Azure, AWS, or Google Cloud Platform) preferred.

·       RAG & Knowledge Intelligence

·       Architect enterprise-scale Retrieval-Augmented Generation (RAG) solutions.

·       Design hybrid retrieval systems using embeddings, vector search, semantic search, knowledge graphs, and reranking models.

·       Build scalable pipelines for document intelligence, metadata discovery, semantic mapping, and contextual reasoning.

·       Optimize retrieval quality, latency, grounding, and hallucination mitigation.

·       Platform Engineering

·       Architect cloud-native microservices using Python and FastAPI.

·       Design distributed event-driven architectures leveraging APIs, messaging systems, and asynchronous processing.

·       Lead implementation of CI/CD, Infrastructure as Code, observability, monitoring, and platform security.

·       Ensure production readiness, resiliency, scalability, and cost optimization.

·       Stakeholder & Team Leadership

·       Collaborate with Product Owners, Data Architects, Engineering Teams, Data Scientists, and Business Stakeholders.

·       Mentor senior engineers and AI developers on architecture best practices.

·       Drive technical decision-making, architecture reviews, and innovation initiatives.

·       Support customer engagements, solution workshops, and executive presentations.

Required Technical Skills

·       Core Engineering

·       Expert-level Python development

·       FastAPI, Flask, Django

·       REST APIs and Microservices Architecture

·       Async Programming (asyncio)

·       Design Patterns and Clean Architecture

·       Distributed Systems Architecture

·       Agentic AI

·       LangGraph

·       LangChain

·       CrewAI

·       AutoGen

·       LlamaIndex

·       MCP (Model Context Protocol)

·       Multi-Agent Orchestration

·       Tool Calling and Function Calling

·       Agent Memory and Planning Frameworks

·       Generative AI

·       OpenAI

·       Azure OpenAI

·       Claude

·       Gemini

·       Llama Models

·       Prompt Engineering

·       Fine-tuning and Model Evaluation

·       AI Safety and Guardrails

·       RAG & Search

·       Retrieval-Augmented Generation (RAG)

·       Vector Search Architecture

·       Semantic Search

·       Hybrid Search

·       Embeddings

·       Re-ranking Models

·       Knowledge Graph Integration

·       Vector Databases

·       Pinecone

·       ChromaDB

·       Qdrant

·       Milvus

·       Weaviate

·       pgVector

·       Cloud Platforms

·       Microsoft Azure

·       AWS

·       Google Cloud Platform

·       Data & Databases

·       PostgreSQL

·       MongoDB

·       SQL Server

·       Snowflake

·       Databricks

·       Data Lake Architectures

·       DevOps & Platform Engineering

·       Docker

·       Kubernetes

·       OpenShift

·       Terraform

·       GitHub Actions

·       Azure DevOps

·       Jenkins

·       OpenTelemetry