Gen AI Architect

5 days ago

Pune, Maharashtra, India TECHEDGE SOLUTION Full time

Position: Gen AI Architect

Company: Xoriant

Location: Pune

Experience: 12–18 Years

Notice Period : Immediate or Serving (Can Join before dec 10th)

Job Description:

We are looking for an experienced 
Gen AI Architect
 to lead the design and implementation of advanced AI/ML and Generative AI solutions. The ideal candidate should have strong expertise in Machine Learning, architectural design, and end-to-end AI solution development for enterprise environments.

Key Responsibilities:

  • Architect and implement end-to-end 
    Generative AI
     and 
    Machine Learning
     solutions.
  • Lead solution design discussions and define scalable AI/ML architectures.
  • Build and optimize ML models including SVM, Random Forest, XGBoost, Prediction Models, Forecasting, and Anomaly Detection.
  • Develop robust ML pipelines using 
    Python, PySpark, and SQL
    .
  • Work with analytical frameworks such as 
    Scikit-learn, Pandas, NumPy, and Spark
    .
  • Drive AI innovation and create architecture blueprints for enterprise AI adoption.
  • Collaborate with Product, Data, and Cloud teams to deliver high-quality solutions.
  • Provide technical leadership, best practices, and code review support.

Mandatory Skills:

  • Strong experience in 
    Machine Learning (ML)
     with structured data analysis.
  • Hands-on expertise in 
    Generative AI
     solution development or integration.
  • Proficiency in 
    Python, PySpark, SQL
    .
  • In-depth knowledge of ML frameworks: 
    Scikit-learn, Pandas, NumPy, Spark
    .
  • Strong background in prediction modeling, forecasting, and anomaly detection.
  • Experience in requirement analysis and solution architecture.
  • Excellent problem-solving, leadership, and communication skills.

Preferred Skills (Good to Have):

  • Exposure to 
    MLOps
     and cloud-based ML deployment pipelines.
  • Familiarity with 
    Prompt Engineering, LLMs, Vector Databases
    .
  • Experience with 
    Azure, AWS, or GCP
    .
  • Optional exposure to Deep Learning and Computer Vision (TensorFlow/Keras/PyTorch).
  • Relevant ML/AI certifications are an added advantage.

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