Role & responsibilities
8 - 14 years of experience in architecture and solution design across multiple technology domains.
Expert-level proficiency in at least one major cloud platform (Azure, AWS, or GCP).
Deep understanding of full stack architectures including front-end, back-end, API, and database components.
Deep experience with microservices, event-driven systems API ecosystems, integration patterns (REST, GraphQL, gRPC), observability, and cloud-native infrastructure.
Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Azure ML, SageMaker) and enterprise AI integration.
Hands-on expertise architecting GenAI or LLM-based production systems (agents, RAG, vector DBs, knowledge graph, LangChain/LangGraph).
Solid command of security architecture including LLM safety, content filtering, secrets, mTLS, and identity patterns (OAuth2/OIDC).
Robust database architecture skills across relational (PostgreSQL, SQL Server, Oracle) and non-relational (MongoDB, Cosmos DB, DynamoDB) systems.
Proficiency in DevOps and CI/CD automation (Azure DevOps, Jenkins,



GitHub Actions).
Expertise in containerization and orchestration (Docker, Kubernetes) and Infrastructure as Code (Terraform, CloudFormation).
Excellent communication, presentation, and stakeholder management skills in consulting environments.

Positive to Have Skills/Project Experience/Certifications:
Experience with data lake architectures, ETL pipelines, and streaming platforms (Kafka, Databricks, Snowflake).
Knowledge of AI-driven architectures, including NLP, computer vision, and predictive analytics.
Experience with serverless and event-driven systems (AWS Lambda, Azure Functions).
Familiarity with security and compliance frameworks such as OAuth2, Zero Trust, and OpenID Connect.
Experience with API gateway and management tools (Apigee, Kong, Azure API Management).
Proven experience in architecture governance, solution reviews, and pre-sales engagements.

📌 Urgent Hiring For Architect Hyderabad
🏢 Rhohyve Ai Labs
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