Posted 8 months ago. This role may no longer be accepting applications.

Artificial Intelligence Architect

12 - 15 years

Kolkata Indore Bengaluru

Posted:8 months ago

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Job Description

Greetings from TCS!!!

Come and join us for an exciting career with TCS!!!

TCS has always been in the spotlight for being adept in the next big technologies. What we can offer you is a space to explore varied technologies and quench your techie soul.

We are arranging a Virtual interview Drive at below mentioned details, please proceed with this job posting.

AI Architect

24-February-2026

12-15 Years

Kolkata, Indore, Nagpur Or Bangalore

Essential Duties & Responsibilities:

Technical Leadership

  • Design and architect end-to-end AI/ML solutions that align with business objectives.
  • Lead technical discussions and make architectural decisions for AI initiatives.
  • Establish best practices for AI/ML model development, deployment, and monitoring.
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems.
  • Evaluate and recommend AI/ML technologies, frameworks, and tools.

Solution Design

  • Create comprehensive technical specifications for AI systems and applications.
  • Design scalable, secure, and maintainable AI architectures.
  • Develop proof-of-concepts and prototype solutions for new AI initiatives.
  • Ensure AI solutions meet performance, reliability, and security requirements.
  • Design data pipelines and infrastructure to support AI/ML workloads.

Required Qualifications

  • Master's degree in Computer Science, AI/ML, Engineering, or related field.
  • 12 + years of experience in software development and system architecture.
  • 5+ years of hands-on experience with AI/ML technologies and frameworks.
  • Proven track record of designing and implementing large-scale AI solutions.

Technical Skills

  • Programming Languages: Python, Java, R, Scala, or similar.
  • AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras.
  • Cloud Platforms: AWS (SageMaker, Lambda), Azure (ML Studio, Cognitive Services), or GCP (AI Platform).
  • Data Technologies: SQL, NoSQL databases, Apache Spark, Kafka, Elasticsearch.
  • DevOps & MLOps: Docker, Kubernetes, CI/CD pipelines, model versioning.

Skills Required

java artificial intelligence scala aiml python tensorflow lambdas ai scikit-learn pytorch ai algorithms aws sagemaker keras

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