AI Architect

AI Architect - Job Description (JD)

Job Title

AI Architect

Experience

10 to 12+ Years

Location

Hyderabad / Bangalore / India

Job Summary

We are seeking a highly experienced AI Architect to lead the design, development, and deployment of enterprise-scale Artificial Intelligence (AI), Machine Learning (ML), and Generative AI (GenAI) solutions. The ideal candidate will define AI strategy, architect scalable AI platforms, establish governance frameworks, and guide engineering teams in delivering secure, reliable, and business-driven AI applications.

The role requires deep expertise in AI/ML, Large Language Models (LLMs), cloud platforms, data engineering, MLOps, AI governance, and enterprise architecture.

Key Responsibilities

AI Strategy & Architecture

• Define enterprise AI and GenAI architecture roadmap.
• Design scalable, secure, and cost-effective AI solutions.
• Align AI initiatives with business objectives and digital transformation goals.
• Create reference architectures and architectural standards.

Generative AI & LLM Solutions

• Design and implement LLM-based applications.
• Architect RAG (Retrieval-Augmented Generation) solutions.
• Define prompt engineering and model orchestration frameworks.
• Evaluate and select LLMs such as GPT, Claude, Gemini, Llama, and Mistral.
• Design AI agents and multi-agent architectures.

AI Platform & MLOps

• Establish end-to-end AI/ML lifecycle management.
• Design model deployment, monitoring, and observability frameworks.
• Implement CI/CD pipelines for AI applications.
• Define AI governance, compliance, and risk controls.

Cloud & Enterprise Integration

• Architect AI solutions on Azure, AWS, or GCP.
• Integrate AI services with enterprise applications.
• Design API, microservices, and event-driven architectures.
• Ensure scalability, security, and resilience.

Leadership & Governance

• Provide technical leadership to AI, Data Science, and Engineering teams.
• Conduct architecture reviews and design assessments.
• Define Responsible AI and regulatory compliance frameworks.
• Mentor architects and technical teams.

Required Technical Skills

Artificial Intelligence & Machine Learning

• Machine Learning Algorithms
• Deep Learning
• NLP (Natural Language Processing)
• Computer Vision
• Reinforcement Learning
• Forecasting & Predictive Analytics

Generative AI

• Large Language Models (LLMs)
• RAG Architecture
• AI Agents
• Prompt Engineering
• Fine Tuning
• Model Evaluation
• Hallucination Mitigation
• Vector Search

Frameworks & Libraries

• LangChain
• LlamaIndex
• Semantic Kernel
• Haystack
• Hugging Face
• OpenAI SDKs

Cloud Platforms

Microsoft Azure

• Azure OpenAI
• Azure AI Foundry
• Azure ML
• Azure Data Factory
• Azure Kubernetes Service (AKS)

AWS

• Amazon Bedrock
• SageMaker
• AWS Lambda
• ECS/EKS

GCP

• Vertex AI
• Gemini
• BigQuery
• GKE

Data Technologies

• Databricks
• Snowflake
• SQL
• NoSQL
• Data Lakes
• Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)

Programming

• Python
• Java
• C#
• REST APIs
• FastAPI

DevOps & MLOps

• MLflow
• Kubeflow
• Jenkins
• GitHub Actions
• Azure DevOps
• Docker
• Kubernetes

AI Security & Governance

• Responsible AI
• Model Governance
• AI Risk Management
• Data Privacy
• Security Architecture
• Compliance (GDPR, HIPAA)

Key Competencies

• Enterprise Architecture
• Strategic Thinking
• Solution Design
• Technology Leadership
• Stakeholder Management
• Innovation & Problem Solving
• Executive Communication
• Team Mentoring