AI Architect

Job Title: AI Architect
Location: Remote / Hybrid / Onsite
Duration: Contract / Full-Time

Job Summary

We are seeking an experienced AI Architect to design, develop, and implement enterprise-scale Artificial Intelligence and Generative AI solutions. The ideal candidate will have strong expertise in machine learning, large language models (LLMs), cloud platforms, MLOps, and AI solution architecture. This role requires close collaboration with business stakeholders, data scientists, software engineers, and DevOps teams to deliver scalable, secure, and high-performing AI applications.

Key Responsibilities

• Design end-to-end AI/ML and Generative AI architectures for enterprise applications.
• Develop AI strategies aligned with business objectives and technology roadmaps.
• Architect solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and vector databases.
• Build scalable AI applications using Python and AI frameworks.
• Design secure APIs and microservices for AI model integration.
• Lead AI solution design on AWS, Azure, or Google Cloud Platform.
• Implement MLOps pipelines for model deployment, monitoring, and lifecycle management.
• Optimize AI model performance, scalability, cost, and latency.
• Ensure AI governance, security, compliance, and responsible AI practices.
• Mentor engineering teams and establish AI development standards.
• Collaborate with business stakeholders to translate requirements into AI solutions.

Required Skills

• 10+ years of software engineering experience.
• 5+ years of AI/ML architecture experience.
• Strong programming skills in Python.
• Experience with:
  • Machine Learning
  • Deep Learning
  • NLP
  • Computer Vision (preferred)
  • Predictive Analytics
• Hands-on experience with:
  • OpenAI GPT
  • Azure OpenAI
  • Anthropic Claude
  • Google Gemini
  • Llama models
• Experience with AI frameworks:
  • LangChain
  • LangGraph
  • LlamaIndex
  • Semantic Kernel
  • AutoGen
• Experience implementing:
  • RAG
  • AI Agents
  • Prompt Engineering
  • Fine-tuning
  • Vector Databases (Pinecone, Weaviate, ChromaDB, Milvus)
• Strong SQL and NoSQL database knowledge.
• API development using REST and GraphQL.
• Containerization using Docker and Kubernetes.
• Experience with CI/CD and MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML.

Cloud Technologies

• AWS (Bedrock, SageMaker, Lambda, ECS/EKS)
• Azure (Azure OpenAI, Azure AI Studio, Azure ML)
• Google Cloud (Vertex AI, BigQuery)

DevOps & Tools

• Git
• Jenkins / GitHub Actions / Azure DevOps
• Terraform
• Kubernetes
• Docker

Preferred Qualifications

• Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
• AI certifications from AWS, Azure, Google Cloud, or OpenAI.
• Experience designing enterprise AI platforms.
• Knowledge of Responsible AI, AI Governance, and model security.
• Experience with multi-agent AI systems and enterprise chatbot solutions.

Nice to Have

• Knowledge Graphs
• GraphRAG
• Reinforcement Learning
• Real-time AI inference
• Streaming technologies (Kafka, Spark)
• Snowflake or Databricks
• Healthcare, Financial Services, or Retail domain experience