Mid level Architect

Please share CV to [Confidential Information] with the below details:

Total experience (should be 10+ years)-

Current CTC-

Expected CTC-

Notice Period-

Mandatory- Strong Proficiency in Python or Java, and experience in Kubernetes

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).