5 - 10 years

15 - 25 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

About NavaSys & the Role

NavaSys is building a deep AI and data engineering capability that is secure-by-design and built to scale.

As AI Architect, you will define how AI is structured, deployed and standardised across NavaSys projects. Youll combine broad architectural thinking with enough hands-on depth to validate approaches and guide teams confidently.

Key Responsibilities

  • Architect and design end-to-end AI/ML solutions from data ingestion and preparation to model deployment and monitoring.
  • Work with business, product, data and engineering stakeholders to identify AI opportunities and automation use cases.
  • Select and evaluate appropriate AI frameworks, platforms and tools (e.g., AWS SageMaker, Azure ML, GCP Vertex AI).
  • Lead and mentor data scientists, ML engineers and developers on architecture, patterns and implementation choices.
  • Ensure AI models and systems are scalable, secure, explainable and compliant with organisational and regulatory standards.
  • Design MLOps pipelines for continuous integration, delivery and monitoring of models.
  • Conduct POCs and feasibility studies to evaluate new AI technologies and techniques and define their adoption paths.
  • Partner with data engineering to define data architecture, quality, governance and accessibility standards for AI use cases.
  • Develop, maintain and evangelise AI architectural standards, design patterns and documentation that teams can reuse.
  • Stay current on AI trends, tools and research and translate them into actionable architectural guidance.

Preferred candidate profile

Skills Required

  • Artificial Intelligence / GenAI
  • AI Solutions
  • MLOps
  • Machine Learning
  • AWS
  • GenAI
  • Python

Must-Have Profile

  • Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence or related field.
  • Minimum 8 years of experience in AI/ML solution design and development, with at least 3 years in an architectural or leadership role.
  • Strong expertise in machine learning, deep learning, NLP, computer vision and generative AI techniques.
  • Proficiency in Python, R or Java and experience with ML/DL frameworks such as TensorFlow, PyTorch, Scikit-learn or Hugging Face.
  • Hands-on experience with cloud platforms (AWS, Azure or GCP) and containerisation/orchestration (Docker, Kubernetes).
  • Solid understanding of data engineering: ETL, data lakes, pipelines, real-time processing.
  • Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, CI/CD pipelines).
  • Strong understanding of AI ethics, model interpretability and responsible AI principles.
  • Excellent communication, documentation and leadership skills to influence cross-functional teams.

Nice-to-Have

  • Certifications such as AWS Certified Solutions Architect – Professional, Databricks Certified Data Engineer or TOGAF.
  • Familiarity with AI/ML frameworks (TensorFlow, PyTorch, LangChain, etc.).
  • Experience in pre-sales or customer-facing architecture roles.
  • Exposure to data governance, AI ethics and responsible AI practices.

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