Job Description
Summary
Tata Consultancy Services (TCS) is seeking an experienced AI Solution Architect in Hyderabad to lead the design and implementation of cutting-edge AI and machine learning solutions. This role demands deep expertise in Python programming, machine learning frameworks (TensorFlow, PyTorch, Scikit-Learn), and AI model development, including deep learning, NLP, computer vision, time-series modeling, and reinforcement learning. The ideal candidate will leverage advanced data analysis, visualization, and cloud architecture skills to create scalable, enterprise-grade AI solutions. This position is perfect for professionals looking to apply AI/ML innovations in real-world business scenarios across Pan India locations.
Job Details at a Glance
| Title | AI Solution Architect |
|---|---|
| Company | Tata Consultancy Services (TCS) |
| Location | Hyderabad (Pan India) |
| Experience | 10 – 16 years |
| Shift | Day Shift |
| Function | Technology |
| Role | Consultant |
| Apply By | 31-Dec-2025 |
Key Responsibilities
1. AI Solution Design & Development
- Architect end-to-end AI solutions for enterprise applications.
- Design, develop, and deploy machine learning and deep learning models.
- Implement NLP, computer vision, and reinforcement learning solutions.
- Build time-series models for predictive analytics.
2. Data Analysis & Visualization
- Conduct data analysis and preprocessing on large datasets.
- Apply data wrangling, mining, and statistical methods to extract insights.
- Use visualization tools like Power BI, Tableau, Matplotlib to communicate results effectively.
3. Machine Learning & Framework Expertise
- Work extensively with TensorFlow, PyTorch, Scikit-Learn, and other ML frameworks.
- Optimize models for accuracy, scalability, and deployment efficiency.
- Keep abreast of emerging AI/ML trends, frameworks, and algorithms.
4. Cloud, Containers & Messaging Platforms
- Deploy AI solutions using Docker, Kubernetes, and container orchestration.
- Integrate with messaging platforms such as Kafka, RabbitMQ, or ActiveMQ.
- Manage RDBMS and NoSQL databases to support AI pipelines and storage requirements.
5. Collaboration & Technical Leadership
- Collaborate with cross-functional teams, including data engineers, ML engineers, and business stakeholders.
- Mentor junior developers on AI best practices, model development, and deployment strategies.
Skills & Expertise
- Strong Python programming and machine learning expertise
- Experience with deep learning, NLP, computer vision, and reinforcement learning
- Proficiency in data analysis, visualization, and time-series modeling
- Hands-on knowledge of TensorFlow, PyTorch, Scikit-Learn, Docker, Kubernetes, Kafka, and cloud databases
- Strong analytical, problem-solving, and leadership skills
Qualifications
- Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or related fields
- 10–16 years of experience in AI/ML solution development and enterprise deployment
- Demonstrated experience in designing and implementing scalable AI solutions
Why Join TCS as an AI Solution Architect
- Lead enterprise AI and machine learning initiatives across multiple business domains.
- Work with innovative AI frameworks, cloud platforms, and multi-modal AI solutions.
- Gain exposure to emerging AI technologies, deep learning architectures, and advanced analytics.
Apply Now
Advance your career as a TCS AI Solution Architect in Hyderabad. Apply directly via the TCS Careers Portal and help shape next-generation AI solutions across enterprise environments.