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anarock

Senior Architect

Bengaluru · Staff/Principal

Older listing - lower visibility likelyVerified listingPosted 87d ago

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97Experience

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Skills required

33 listed
Weights & BiasesVector DatabaseAgentic AIGoogle GeminiGoogle Vertex AIAzure OpenAI ServicePrompt EngineeringLarge Language Models (LLMs)+25 more
Weights & BiasesVector DatabaseAgentic AIGoogle GeminiGoogle Vertex AI

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Job description

ABOUT THE ROLE
We are looking for a visionary Senior Architect (AI) to design and lead the development of scalable, enterprise-grade AI systems. You will be responsible for defining the technical blueprint of our AI platform, guiding engineering teams, and ensuring alignment between business goals and technology strategy.

KEY RESPONSIBILITIES
  • Define and drive the overall AI/ML architecture strategy across the organization
  • Design scalable, resilient, and secure AI pipelines and platforms
  • Lead the evaluation and adoption of AI frameworks, LLM APIs, and vector databases
  • Collaborate with Product, Engineering, and Business leaders to translate requirements into technical roadmaps
  • Establish best practices for model lifecycle management, MLOps, and responsible AI
  • Conduct architecture reviews, code reviews, and technical design sessions
  • Mentor senior engineers and provide technical leadership across squads
  • Drive proof-of-concepts (PoCs) for emerging AI technologies and recommend adoption
  • Ensure compliance with data privacy regulations (GDPR, DPDPA) in AI systems
  • Own non-functional requirements: scalability, latency, availability, and cost optimization
KEY SKILLS & REQUIREMENTS
  • Deep expertise in AI/ML architecture patterns: RAG, agentic AI, multi-model orchestration
  • Proficiency with LLM ecosystems: OpenAI, Anthropic Claude, Google Gemini, open-source LLMs (Llama, Mistral)
  • Strong knowledge of vector databases: Pinecone, Weaviate, pgvector, ChromaDB
  • Cloud architecture expertise: AWS, GCP, or Azure (AI/ML services — SageMaker, Vertex AI, Azure OpenAI)
  • Experience with MLOps tools: MLflow, Kubeflow, Weights & Biases
  • Proficiency in Python for AI/ML; working knowledge of Node.js or Java for backend integration
  • Knowledge of data engineering: Spark, Kafka, dbt, Airflow
  • Strong understanding of microservices, API design, and event-driven architecture
  • Familiarity with AI governance, model evaluation frameworks, and prompt engineering
  • Experience with containerization: Docker, Kubernetes, Helm
Nice to have
  • Experience with agentic frameworks: LangChain, LlamaIndex, AutoGen, CrewAI
  • Published research or open-source contributions in AI/ML
  • Exposure to multi-modal AI (vision, voice, video) systems
  • Prior startup or product-led company experience

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Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

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Free · no signup

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Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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