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AI/ML Solutions Architect – GenAI & Cloud (BFSI Focus)

15 years

0 Lacs

India

Posted:1 week ago| Platform: Linkedin logo

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Skills Required

ai ml discovery governance compliance design deployment drive prototyping aws azure model openai risk engineering architecture data xgboost tensorflow mlflow sagemaker vertex leadership

Work Mode

On-site

Job Type

Full Time

Job Description

Job Location: Hyderabad / Bangalore / Pune

Immediate Joiners / less than 30 days


About the Role

AI/ML Solutions Architect

Key Responsibilities

  • Lead the design and deployment of enterprise-scale AI/ML and GenAI architectures.
  • Drive

    end-to-end AI/ML project delivery

    : discovery, prototyping, productionization.
  • Architect solutions using leading

    cloud-native AI services

    (AWS, Azure, GCP).
  • Implement

    MLOps/LLMOps pipelines

    for model lifecycle and automation.
  • Guide teams in selecting and integrating

    GenAI/LLM frameworks

    (OpenAI, Cohere, Hugging Face, LangChain, etc.).
  • Ensure robust

    AI governance, model risk management

    , and compliance practices.
  • Collaborate with senior business stakeholders and cross-functional engineering teams.

Required Skills & Experience

  • 15+ years in AI/ML, cloud architecture, and data engineering.
  • At least 10 end-to-end AI/ML project implementations.
  • Hands-on expertise in

    one or more

    of the following:
  • ML frameworks: scikit-learn, XGBoost, TensorFlow, PyTorch
  • GenAI/LLM tools: OpenAI, Cohere, LangChain, Hugging Face, FAISS, Pinecone
  • Cloud platforms: AWS, Azure, GCP (AI/ML services)
  • MLOps: MLflow, SageMaker Pipelines, Kubeflow, Vertex AI
  • Strong understanding of

    data privacy, model governance, and compliance frameworks

    in BFSI.
  • Proven leadership of cross-functional technical teams and stakeholder engagement.

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