About this role
Programming: Python ML Libraries & Frameworks: TensorFlow, PyTorch, and scikit-learn ML Architectures: Deep Learning, and Natural Language Processing LLM: LangChain, LangGraph Software Architecture: Architectural patterns and their application Cloud Platforms: AWS, Azure, or Google Cloud. Container: Docker, Kubernetes" Detail JD "THE ROLE & RESPONSIBILITIES As Software Architect, you will lead the design and delivery of scalable, cloud-native AI/ML solutions translating complex business requirements into robust technical architectures that power Autonomous AI Agents across diverse enterprise domains. - Architect end-to-end AI/ML solutions and define system design standards for cloud-native microservices and agentic workflows. - Lead technical design reviews, evaluate architectural patterns, and guide engineering teams toward clean, maintainable implementations. - Drive the development of GenAI solutions exploring advanced foundation models and integrating them into production pipelines. - Own the reliability and scalability of containerised services on Kubernetes across AWS, Azure, or GCP. - Produce clear architecture documentation, decision records, and runbooks that enable team-wide alignment. REQUIREMENTS & QUALIFICATIONS Must-Have - 10+ years of software development and architecture experience. - BE/BTech (or above) in Computer Science or a related field. - Strong proficiency in Python and/or Java. - Familiarity with agentic frameworks (LangChain, AutoGen, CrewAI, or similar). - Hands-on experience designing and deploying microservices on cloud platforms (AWS, Azure, or GCP). - Deep knowledge of Kubernetes for container orchestration. - Practical experience with AI/ML technologies and GenAI solution development. - Solid Linux/Unix Bash scripting skills. - Excellent written and verbal communication skills able to explain complex architecture to non-technical stakeholders. Nice-to-Have - Experience with RAG (Retrieval-Augmented Generation), vector databases, or fine-tuning LLMs. - Cloud certifications (AWS Solutions Architect, Azure Solutions Architect, or GCP Professional Cloud Architect). - Exposure to CI/CD pipelines, DevSecOps practices, and Infrastructure-as-Code (Terraform, Pulumi). - Experience with event-driven architectures (Kafka, RabbitMQ)."