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Exponentia Team
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AI Architect

AI Architect

Exponentia Team

4 - 12 years

9 - 17 Lacs

mumbai

Posted:1 hour ago| Platform:

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Skills Required

architecture togaf artificial intelligence machine learning presales microsoft aws monitoring data architecture python

Work Mode

Work from Office

Job Type

Full Time

Job Description

About the Role:

We are seeking an experienced AI Architect to lead the design, development, and implementation of advanced artificial intelligence and machine learning solutions. The ideal candidate will have a deep understanding of AI frameworks, scalable architectures, data engineering, and MLOps, along with a proven track record of translating business problems into AI-driven solutions.

Key Responsibilities

Architect and design end-to-end AI/ML solutions from data ingestion to model deployment and monitoring.
Collaborate with stakeholders (business, product, data, and engineering teams) to identify opportunities for AI adoption and automation.
Select and evaluate appropriate AI frameworks, cloud platforms, and tools (AWS Sagemaker, Azure ML, GCP Vertex AI, etc.).
Lead and mentor data scientists, ML engineers, and developers in solution implementation and best practices.
Ensure AI models are scalable, secure, explainable, and compliant with organizational and regulatory standards.
Design MLOps pipelines for continuous integration, deployment, and model monitoring.
Conduct POCs and feasibility studies to assess new AI technologies and methodologies.
Collaborate with data engineering teams to define data architecture and ensure data quality, governance, and accessibility .
Develop and enforce AI architectural standards , design patterns, and documentation.
Stay abreast of emerging AI trends, tools, and research to keep the organization at the forefront of innovation.

Ideal Candidate Profile

Education: Bachelor s or master s degree in computer science, Data Science, Artificial Intelligence, or a related field.
Experience: Minimum 8 years 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 containerization/orchestration tools (Docker, Kubernetes).
Knowledge of data engineering concepts ETL, data lakes, pipelines, and 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 and leadership skills to influence cross-functional teams.

Preferred Qualifications

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 principles.

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AI Architect