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AI Architect

AI Architect

MovateGuntur, IN
1 day ago
Job description

Job Description – AI Architect (Generative & Agentic AI)

Position : AI Architect

Experience : 10–12 Years

Employment Type : Full-time

About the Role

We are seeking an experienced AI Architect with deep expertise in Generative AI (GenAI) , Agentic AI frameworks , and advanced Python development . The ideal candidate will design, architect, and implement scalable AI solutions leveraging LLMs, multi-agent systems, vector databases, and cloud-native AI platforms . You will collaborate with cross-functional teams to drive innovation, design robust AI architectures, and deliver enterprise-grade AI products.

Key Responsibilities

  • Architecture & Design
  • Define end-to-end architecture for GenAI & Agentic AI solutions .
  • Design scalable and secure AI pipelines including data ingestion, model training, fine-tuning, deployment, and monitoring .
  • Architect multi-agent AI systems leveraging frameworks like LangChain, AutoGen, LlamaIndex, or similar .
  • Hands-on Development
  • Build and optimize AI applications in Python using frameworks such as PyTorch, TensorFlow, Hugging Face Transformers .
  • Implement and integrate LLMs, embeddings, RAG (Retrieval-Augmented Generation), vector databases (Pinecone, FAISS, Weaviate, Milvus) .
  • Develop autonomous AI agents for workflow automation, reasoning, and decision-making.
  • Innovation & Strategy
  • Evaluate and recommend emerging GenAI & Agentic AI frameworks, tools, and platforms .
  • Define best practices for prompt engineering, model fine-tuning, safety, compliance, and governance .
  • Collaborate with stakeholders to align AI solutions with business goals and enterprise architecture .
  • Leadership & Mentoring
  • Lead technical discussions and provide architectural guidance to engineering teams.
  • Mentor data scientists, ML engineers, and software developers in AI best practices.
  • Collaborate with product managers and business leaders on solution roadmaps.

Required Skills & Experience

  • 10–12 years of experience in software engineering / AI solutions, with at least 4+ years in AI / ML and GenAI .
  • Strong expertise in Python and AI / ML frameworks ( PyTorch, TensorFlow, Hugging Face ).
  • Proven experience architecting Generative AI solutions (LLMs, diffusion models, multimodal AI).
  • Hands-on experience with agent frameworks (LangChain, AutoGen, CrewAI, etc.) for building Agentic AI systems .
  • Expertise in vector databases (Pinecone, FAISS, Milvus, Weaviate) and RAG architectures .
  • Strong understanding of cloud platforms (AWS, Azure, GCP) and AI services (Bedrock, Vertex AI, OpenAI APIs).
  • Knowledge of MLOps practices : CI / CD pipelines, monitoring, observability, and governance for AI systems.
  • Experience with scalable distributed systems , API integration, and microservices architecture.
  • Familiarity with data privacy, security, and ethical AI practices .
  • Familiarity working with healthcare domain would be an added advantage

    • Preferred Skills

  • Experience with multi-modal GenAI models (text, vision, speech).
  • Knowledge of enterprise AI platforms (Databricks, Snowflake, Azure AI, AWS SageMaker).
  • Contributions to open-source AI projects .
  • Strong background in solution architecture and enterprise AI adoption strategies .

    • Education

  • Bachelor’s / Master’s degree in Computer Science, AI / ML, Data Science, or related field .
  • Certifications in AI / ML, cloud architecture, or Generative AI are a plus.
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    Ai Architect • Guntur, IN