Full Stack AI Architect
Role details
Job location
Tech stack
Job description
We are seeking a highly experienced Full Stack AI Architect with strong expertise in Artificial Intelligence, Machine Learning, and Agentic AI systems. The ideal candidate will be a hands-on technical leader responsible for designing, developing, and deploying scalable AI solutions in enterprise environments.
This role requires deep expertise in AI/ML algorithms, neural networks, system architecture, and expert-level programming in Python or Java., You will be responsible for architecting end-to-end AI/ML solutions, leading AI innovation initiatives, and driving technical execution across complex enterprise use cases. The role demands strong hands-on development skills along with architectural leadership in modern AI systems., * Design and implement advanced AI/ML models to solve complex business problems
- Develop scalable applications using Python or Java
- Convert business requirements into technical architecture and system designs
- Optimize AI/ML models for performance, accuracy, and scalability
- Collaborate with cross-functional teams including engineering, data, and product
- Research and implement latest advancements in AI, ML, and Agentic AI
- Provide technical leadership and mentorship to engineering teams
- Ensure coding standards, testing practices, and deployment best practices
- Participate in architecture reviews and continuous improvement initiatives
Requirements
- 14+ years of IT experience with strong AI/ML focus
- Minimum 5+ years of experience as an AI Architect
- Strong expertise in supervised, unsupervised, and reinforcement learning
- Deep knowledge of neural networks and AI architectures
- Proficiency in TensorFlow, PyTorch, or Keras
- Expert-level coding skills in Python or Java
- Strong understanding of data structures, algorithms, and system design
- Must have telecom domain experience, * Experience with AWS, Azure, or Google Cloud platforms
- Familiarity with Docker and Kubernetes
- Knowledge of Hadoop, Spark, and big data ecosystems
- Experience building APIs and microservices for AI systems
- Strong analytical and problem-solving skills, * Bachelor's or Master's degree in Computer Science, Data Science, or related field
- Proven track record of delivering enterprise AI/ML solutions
- Strong communication skills to engage both technical and business stakeholders
- Ability to work in a fast-paced, collaborative environment