Artificial Intelligence Specialist

Job description

**Greetings from TCS!** We are hiring for the role of **AI Architect** . **Experience:** 10–18 Years **Location:** PAN India (Preferred: Pune, Chennai, Hyderabad, Kolkata, NCR, Mumbai) **Interview Mode:** Virtual **Job Description** We are seeking an experienced **AI Architect** to lead the design, development, and deployment of enterprise-scale AI and Generative AI solutions. The ideal candidate will have a strong background in architecting production-ready AI systems, leveraging Large Language Models (LLMs), cloud platforms, and modern software engineering practices to solve complex business challenges. Key Responsibilities - Architect, design, and deploy scalable, secure, and high-performance AI/Generative AI solutions for enterprise use cases. - Lead the implementation of AI and Gen AI applications in production environments. - Design robust solution architectures leveraging LLMs, Generative AI frameworks, and advanced AI technologies. - Drive integration of AI capabilities with enterprise applications using APIs, microservices, and cloud-native architectures. - Collaborate with business stakeholders, data scientists, and engineering teams to translate business requirements into AI-driven solutions. - Establish best practices for AI solution design, deployment, governance, and lifecycle management. - Stay updated on emerging AI trends and technologies and provide strategic recommendations for adoption. **Required Skills** - Proven experience in architecting and deploying AI/Gen AI solutions in production environments. - Strong expertise in designing enterprise-grade Generative AI and LLM-based applications. - Experience with microservices architecture, APIs, and enterprise system integrations. - Proficiency in Python or R, along with AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn. - Hands-on experience with cloud platforms and AI services, including AWS, Azure, or GCP. - Strong understanding of Software Development Life Cycle (SDLC), DevOps, CI/CD, and MLOps practices. - Excellent analytical and problem-solving skills with the ability to address complex business challenges using AI technologies. - Strong communication and stakeholder management skills, with the ability to collaborate effectively across cross-functional teams. **Preferred Skills** - Experience with Retrieval-Augmented Generation (RAG), AI Agents, Vector Databases, and Prompt Engineering. - Knowledge of AI governance, responsible AI practices, and AI security frameworks. - Relevant certifications in AI, Cloud, or Solution Architecture are an added advantage.