Tata Communications
Website:
tatacommunications.com
Job details:
About The Company
Tata Communications Redefines Connectivity with Innovation and IntelligenceDriving the next level of intelligence powered by Cloud, Mobility, Internet of Things, Collaboration, Security, Media services and Network services, we at Tata Communications are envisaging a New World of Communications
Job Summary
We are seeking an experienced
AI Architect to lead the design, development, and deployment of scalable
Artificial Intelligence and Machine Learning solutions across the organization. The ideal candidate will have deep expertise in
AI/ML technologies, data architecture, and cloud platforms, combined with strong leadership skills to drive
end-to-end AI strategy and implementation.
Key Responsibilities
AI Strategy & Architecture
- Define and drive the AI/ML architecture roadmap aligned with business objectives
- Design scalable, secure, and high-performance AI solutions and platforms
- Identify opportunities to leverage AI across business processes and products
- Build reference architectures, frameworks, and reusable components
Solution Design & Development
- Architect and oversee development of:
- Machine Learning / Deep Learning models
- NLP, Computer Vision, and Generative AI solutions
- Design end-to-end AI pipelines (data ingestion, preprocessing, modeling, deployment, monitoring)
- Define model lifecycle management (training, validation, deployment, monitoring)
- Ensure integration of AI solutions with enterprise systems and applications
Data & Platform Architecture
- Define data architecture for AI use cases (data lakes, warehouses, pipelines)
- Work with structured and unstructured datasets at scale
- Ensure data quality, governance, and compliance
- Design solutions leveraging big data technologies (Spark, ELK, Splunk)
Technology Leadership
- Select appropriate AI/ML frameworks and tools
- Drive adoption of MLOps, ModelOps, and DevOps practices
- Evaluate emerging technologies (LLMs, generative AI, AI agents, etc.)
- Establish best practices for model performance, security, and scalability
Programming & Tools
- Proficiency in Python (mandatory), familiarity with Java/Scala is a plus
- Experience with libraries: Scikit-learn, TensorFlow, PyTorch, Hugging Face
- Knowledge of data processing tools: Spark, Pandas
Experience & Qualifications
- 10–15 years of experience in software engineering / data / AI domains
- At least 5+ years in AI/ML architecture or lead roles
- Bachelor’s/Master’s degree in Computer Science, AI, Data Science, or related field
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