? Contract Opportunity: AI Enterprise Architect

Role: AI Enterprise Architect / Generative AI Architect

Employment Type: Contract

Work Mode: Remote

Experience : 10+ years

Shift: US Shift / US Business Hours

Location: Remote – India

Engagement: Contract Role

About the Role

We are looking for an experienced AI Enterprise Architect to lead the architecture and design of enterprise-scale Generative AI, LLM, RAG, and AI-powered solutions .

The ideal candidate will have strong expertise across Enterprise Architecture, Generative AI/LLM Architecture, RAG, Prompt & Context Engineering, LLMOps, AI Security, Governance, and Cloud-Native Architecture , with the ability to translate business requirements into scalable, secure, and production-ready AI solutions.

? Key Responsibilities

- Define enterprise and AI architecture strategies, target-state designs, and technical roadmaps.
- Lead architecture assessments, design reviews, architecture governance, and solution advisory.
- Design scalable Generative AI and LLM-based architectures for enterprise use cases.
- Architect RAG solutions , knowledge retrieval systems, embeddings, and vector search platforms.
- Define prompt and context engineering strategies and evaluate model selection and fine-tuning vs. prompting trade-offs.
- Design and implement agentic AI workflows and LLM orchestration .
- Establish model evaluation, observability, performance, cost, and latency optimization strategies.
- Design enterprise data architecture, pipelines, data models, and knowledge layers supporting AI solutions.
- Define cloud-native architectures using microservices, APIs, event-driven architecture, and integration patterns .
- Architect AI solutions on Microsoft Azure, Azure AI, and Azure OpenAI .
- Design scalable inference infrastructure and containerized AI workloads.
- Establish LLMOps and MLOps practices for deploying, monitoring, and managing AI/LLM applications.
- Define AI security, responsible AI,



governance, and guardrails .
- Collaborate with business stakeholders, engineering teams, data teams, security teams, and senior leadership.
- Provide technical guidance and communicate complex architecture decisions clearly to stakeholders.

? Core Skills Required

Enterprise Architecture

- Technical & Solution Architecture
- AI Architecture
- Target-State Design
- Architecture Assessment & Governance
- Technical Roadmapping
- Design Reviews
- Stakeholder Advisory

Generative AI / LLM
- Generative AI
- Large Language Models (LLMs)
- RAG – Retrieval-Augmented Generation
- LLM Orchestration
- Prompt & Context Engineering
- Model Selection
- Fine-Tuning vs. Prompting
- Model Evaluation
- Agentic AI / Agent Workflows

Data & Knowledge Architecture
- Data Architecture
- Data Pipelines
- Data Modeling
- Embeddings
- Vector Search
- Knowledge Retrieval

Application & Integration
- Cloud-Native Architecture
- Microservices
- API Design
- Event-Driven Architecture
- Integration Patterns

Cloud & AI Platforms
- Microsoft Azure
- Azure AI
- Azure OpenAI
- AI Inference Infrastructure
- Scalability & Performance
- Containerization

Security & Operations
- AI Security Architecture
- Responsible AI
- AI Governance
- AI Guardrails
- MLOps
- LLMOps
- Observability
- Cost & Latency Optimization

? Professional Expectations
- Strong enterprise-level architecture and technical leadership capabilities.
- Ability to independently drive architecture decisions and solution design.
- Strong understanding of production-grade AI/LLM implementations.
- Excellent stakeholder communication and advisory skills.
- Ability to work with distributed teams in a US shift setting .
- Strong documentation and technical communication skills.
- Experience designing secure, scalable, and cost-effective AI solutions.

? Apply Now Email: [email protected]

WhatsApp / Contact: (phone hidden)

? Subject: AI Enterprise Architect – Contract

? Contract | Remote | US Shift

📌 AI Enterprise Architect (India)
🏢 Philodesign Technologies
📍 India