Senior Manager - Technical Architect

Golden Opportunities; Hyderabad, Bengaluru; Hybrid; INR 500.000 - 900.000; Vollzeit

Zusammenfassung

Golden Opportunities seeks a seasoned Enterprise Architect to own end-to-end solution architecture across applications, data, AI/ML, security, and cloud infrastructure. You will define designs, reference architectures, and standards while leading reviews and risk assessments.

Evaluate tech for LLMs, vector databases, and API gateways to ensure scalable, secure delivery of AI-enabled applications. You will collaborate across teams to guarantee traceability from requirements to implementation,

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Solution architecture

Enterprise architecture

AI/ML delivery

LLM-powered apps

Microservices

Distributed systems

API design

Cloud-native engineering

Kubernetes

CI/CD

Tools

Kubernetes

Docker

AWS/Azure/GCP

Jobbeschreibung

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.
• Strong 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 modern 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.
• Strong 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 Job Description:

• 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.