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
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 .
- 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
- 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
- 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)
- 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
- 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
- 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
