Software Architect - Agentic
o9 Solutions · Bengaluru
- Experience10–14 yrs
- SalaryNot disclosed
- Work modeonsite
- Levelexecutive
- Posted2 Sept 2026
About o9 Solutions
o9 Solutions is hiring in Bengaluru in technology software. This role looks for around 10+ years of experience.
Skills
- deep learning
- MLOps
- Python
- distributed systems
- large-scale system design
- data engineering
- software architecture
- algorithms
- data structures
- RAG
- vector databases
- AI systems
- agentic AI systems
- model registries
- CI/CD
- model deployment
- model monitoring
The role
A software architect at a technology software company defines scalable AI architectures and production systems using deep learning, MLOps, and distributed systems. This person leads architectural decisions, designs data pipelines, deploys agentic models, and guides platform evolution.
Full job description
Responsibilities:
Define, own, and continuously evolve the end-to-end architecture for o9's enterprise platform, ensuring solutions meet enterprise standards for scalability, reliability, security, performance, and cost efficiency when deploying technically advanced products with a significant amount of deep learning models embedded in them.
Architect and guide the implementation of scalable, secure data pipelines using modern AI-boosted data engineering technologies, enabling efficient ingestion, processing, and serving of large volumes of structured and unstructured data.
Lead the productionalization of AI systems by defining and governing MLOps best practices, including model registries, automated training and retraining pipelines, CI/CD for ML, deployment strategies, and continuous monitoring to detect model drift, data drift, and performance degradation.
Design, train, fine-tune, and deploy deep learning as well as Agentic models, implementing advanced architectures such as Retrieval-Augmented Generation (RAG) and integrating vector database technologies to enable scalable, low-latency, and context-aware AI applications.
Serve as a principal-level technical leader, mentoring senior and staff engineers, leading architecture and design reviews, and setting engineering standards and patterns that ensure consistency and quality across teams.
Translate complex business, product, and operational requirements into clear, durable technical architectures, balancing short-term delivery needs with long-term platform evolution.
Requirements:
Experience: 10+ years of experience in software architecture and building large-scale, production-grade systems, with 5+ years of specialization in deep learning and data engineering, supported by strong computer science fundamentals.
Deep Learning and AI Expertise: Strong proficiency in modern deep learning frameworks and agentic AI systems, with hands-on experience across model development, fine-tuning, deployment, and lifecycle management.
Data Technologies: Proven experience handling unstructured and semi-structured data and working with modern data engineering technologies to support large-scale, distributed AI workloads.
Programming and System Design: Mastery of Python, solid backend engineering experience, and deep expertise in algorithms, data structures, distributed systems, and large-scale system design. Additional experience with other languages such as Scala, Kotlin, and Rust is highly desirable.
Big Data and Distributed Computing: Demonstrated experience processing large datasets and building solutions using distributed computing frameworks in production environments.
Architectural Leadership: Ability to influence architectural decisions across teams, drive technical consensus, and make trade-off decisions that shape long-term platform direction.