Education: Any graduates

Candidate Expectations:
10+ years of software engineering experience, including significant experience in solution or technical architecture and AI/ML-enabled application delivery.
Proven ability to design and govern complex, scalable, secure, and maintainable enterprise architectures.
Demonstrated experience building and deploying LLM-powered applications, RAG solutions, AI agents, or multi-agent systems.
Robust hands-on understanding of microservices, distributed systems, API design, integration patterns, and cloud-native engineering.
Experience with at least one major cloud platform: AWS, Azure, or GCP, including relevant AI/ML, compute, storage, networking, security, monitoring, and deployment services.
Proficiency in backend technologies such as Python with FastAPI, Flask, or Django; Node.js; or Java, plus working knowledge of up-to-date frontend frameworks.
Experience with SQL and NoSQL databases, vector databases or search platforms, data pipelines, and data lifecycle/security practices.
Practical experience with containers, Kubernetes, CI/CD, infrastructure as code, MLOps/LLMOps, and production observability.




Robust understanding of authentication, authorization, secrets management, OWASP principles, privacy, and non-functional requirement engineering.
Excellent problem-solving, analytical, communication, collaboration, and technical leadership skills.

Detailed :
Own the end-to-end solution architecture across application, data, integration, AI/ML, security, and cloud infrastructure.
Define and maintain high-level and low-level designs, reference architectures, reusable patterns, standards, and architecture decision records.
Convert functional and non-functional requirements into architecture decisions covering security, performance, scalability, resilience, observability, availability, cost, and maintainability.
Lead architecture reviews, design reviews, code reviews, and technical risk assessments; ensure traceability from requirements through implementation.
Evaluate technologies and recommend fit-for-purpose choices for LLMs, agent frameworks, vector databases, API gateways, orchestration, and monitoring.

📌 Senior Manager Technical Architect Bengaluru
🏢 Golden Opportunities
📍 Bengaluru