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About the role
In this role as a Software Architect, you will be responsible for leading the design and delivery of scalable, cloud-native AI/ML solutions. Your main tasks will include translating complex business requirements into robust technical architectures for Autonomous AI Agents. You will also be involved in architecting end-to-end AI/ML solutions, defining system design standards for cloud-native microservices and agentic workflows, and leading technical design reviews. Additionally, you will drive the development of GenAI solutions, ensuring the reliability and scalability of containerized services on Kubernetes across various cloud platforms. Your role will also involve producing clear architecture documentation and decision records to facilitate team-wide alignment. Key Responsibilities: - Lead the design and delivery of scalable, cloud-native AI/ML solutions - Architect end-to-end AI/ML solutions and define system design standards - Lead technical design reviews and guide engineering teams - Drive the development of GenAI solutions and integrate them into production pipelines - Ensure reliability and scalability of containerized services on Kubernetes - Produce transparent architecture documentation, decision records, and runbooks Qualifications Required: - 10+ years of software development and architecture experience - BE/BTech (or above) in Computer Science or a related field - Solid proficiency in Python and/or Java - Familiarity with agentic frameworks like LangChain, AutoGen, CrewAI, or similar - Hands-on experience designing and deploying microservices on cloud platforms - 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 for explaining complex architecture to non-technical stakeholders This role also values the following skills and experiences: - Experience with RAG, vector databases, or fine-tuning LLMs - Cloud certifications like AWS Solutions Architect, Azure Solutions Architect, or GCP Qualified Cloud Architect - Exposure to CI/CD pipelines, DevSecOps practices, and Infrastructure-as-Code tools like Terraform or Pulumi - Experience with event-driven architectures using tools like Kafka or RabbitMQ In this role as a Software Architect, you will be responsible for leading the design and delivery of scalable, cloud-native AI/ML solutions. Your main tasks will include translating complex business requirements into robust technical architectures for Autonomous AI Agents. You will also be involved in architecting end-to-end AI/ML solutions, defining system design standards for cloud-native microservices and agentic workflows, and leading technical design reviews. Additionally, you will drive the development of GenAI solutions, ensuring the reliability and scalability of containerized services on Kubernetes across various cloud platforms. Your role will also involve producing clear architecture documentation and decision records to facilitate team-wide alignment. Key Responsibilities: - Lead the design and delivery of scalable, cloud-native AI/ML solutions - Architect end-to-end AI/ML solutions and define system design standards - Lead technical design reviews and guide engineering teams - Drive the development of GenAI solutions and integrate them into production pipelines - Ensure reliability and scalability of containerized services on Kubernetes - Produce transparent architecture documentation, decision records, and runbooks Qualifications Required: - 10+ years of software development and architecture experience - BE/BTech (or above) in Computer Science or a related field - Solid proficiency in Python and/or Java - Familiarity with agentic frameworks like LangChain, AutoGen, CrewAI, or similar - Hands-on experience designing and deploying microservices on cloud platforms - 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 for explaining complex architecture to non-technical stakeholders This role also values the following skills and experiences: - Experience with RAG, vector databases, or fine-tuning LLMs - Cloud certifications like AWS Solutions Architect, Azure Solutions Architect, or GCP Qualified Cloud Architect - Exposure to CI/CD pipelines, DevSecOps practices, and Infrastructure-as-Code tools like Terraform or Pulumi - Experience with event-driven architectures using tools like Kafka or RabbitMQ
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