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Bluetick Consultants

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AI Native Architect (Python + GenAI + Cloud)

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Summary

Designs and delivers enterprise-grade AI solutions — LLMs, RAG pipelines, agentic multi-agent workflows, and cloud-native AI infrastructure — while leading architecture decisions, mentoring engineers, and supporting client presales. Core stack: Python, LangChain/LangGraph, vector databases, MLOps/LLMOps, and Azure/AWS/GCP AI services.

We are looking for an experienced AI Native Architect to design, architect and deliver scalable, production-grade AI solutions using Python, Generative AI, LLMs, RAG and Agentic AI. The role involves defining enterprise AI architecture, leading technical delivery, and building secure, reliable and cloud-native intelligent systems.


Key Responsibilities

  • Design end-to-end AI-native architectures with LLMs, RAG, agentic workflows and multi-model orchestration.
  • Build and optimize RAG pipelines, embeddings, vector search, prompt engineering and LLM-powered applications.
  • Design multi-agent systems using LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel or equivalent frameworks.
  • Define cloud architecture across Azure, AWS or GCP, including model deployment, vector stores and AI infrastructure.
  • Establish MLOps/LLMOps practices covering CI/CD, evaluation, monitoring, observability, cost and performance optimization.
  • Ensure AI security, data privacy, responsible AI and compliance requirements, including HIPAA where applicable.
  • Lead architecture decisions, mentor engineering teams, engage with clients and support solution design, estimations and presales.

Required Skills & Experience

  • 10+ years of overall technology experience, with 4 to 5 years of substantial AI/ML architecture and delivery experience preferred.
  • Strong hands-on expertise in Python, Generative AI, LLMs, RAG, embeddings, vector databases and prompt engineering.
  • Practical experience designing and delivering production-grade Agentic AI / multi-agent solutions.
  • Knowledge of traditional ML, model evaluation and frameworks such as PyTorch, TensorFlow, Hugging Face or scikit-learn.
  • Experience with Azure OpenAI, AWS Bedrock, Vertex AI or equivalent cloud AI services.
  • Familiarity with Docker, Kubernetes, CI/CD, MLOps/LLMOps and AI monitoring tools.
  • Strong architecture fundamentals in APIs, microservices, event-driven systems, scalability and security.
  • Excellent communication, technical leadership and stakeholder management skills.

Preferred Qualifications

  • Experience in Retail or US Healthcare, including payer/provider or life sciences.
  • Knowledge of HIPAA, responsible AI, model governance and explainability.
  • Prior experience in consulting, IT services, client-facing architecture or technical leadership.
  • Bachelor's or Master's degree in Computer Science, IT, Engineering, Data Science or a related field.
  • Relevant Azure, AWS or GCP certifications are an advantage.


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