AI Architect (Hyderabad)

AI Architect (Hyderabad)

08 Nov
|
Webologix Ltd
|
Hyderabad

08 Nov

Webologix Ltd

Hyderabad

Job Position: AI Architect

Location: Hyderabad.

Experience: 7 to 10+ Years

Mandatory Skills : Agentic AI, Architecture Patterns and Styles, Java, Python, Software Engineering and Design Architecture

Good to Have Skills : Agent development & frameworks, Agentic AI Systems Design, Agentic API Orchestration, Agentic

Orchestration & Tooling (Function Calling, Planning, Memory), AI Governance & Compliance, AI safety & security, AI Security

Analysis, AI Security Engineering, AI Strategy & Governance, AI-assisted development & coding, AI_Implementation_Infra -

Vector Store DB, RAG, Angular, Application Security (application security framework/ threat modelling/ Secure SDLC/

DevSecOps/Application Security Architecture Review), Architecture Governance, BootStrap/CSS/CSS3, Build & monitor AI Agent,

Build/Consume MCP Servers + Integrate AI Agents with MCP servers, Claude Code, Cloud & DevOps, Cloud AI Design

Assistance, Cloud platforms & services, Cloud Solution Architecture, Design Patterns, Docker, Enterprise architecture, Git, GitHub

Advanced Security, GitHub Co-Pilot, HTML/HTML5, JavaScript, Kubernetes, Leadership, LLM & foundation models, LLM

Architecture Synthesis, Llm Based Models, LLM Observability & Monitoring (Drift, Quality, Hallucination Metrics), LLM

Understanding, LLMOps, MCP Servers, Microservices, MS SQL Server, Orchestration & multi-agent systems, Process improvement

& operational consulting, Prompt Engineering & RAG, RAG & document retrieval, RAGAS (Retrieval Augumented Generation

Assessment) Framework, Responsible AI & governance, Retrieval Augmented Generation (RAG) Engineering, SDLC, Secure design & app security, SpringBoot, TypeScript

Responsibilities

- Agentic AI Expertise – Deep expertise in all aspects of the Agentic AI ecosystem, including tooling and technologies.
- AI Architecture & Governance – Develop architecture ideation based on organizational AISDLC policies, covering governance and security.

3.

AI Integration – Deep expertise in incorporating AI elements into business solutions and software engineering.





- End-to-End Architecture – Define end-to-end technical architecture across frontend, APIs, microservices, integration, data, and deployment layers. Create solution blueprints, reference architectures, design patterns, and engineering guardrails.
- AI-Assisted SDLC – Integrate AI-assisted engineering practices into SDLC, including requirements refinement, design exploration, code generation, test acceleration, and documentation.
- Claude AI & LLM – Evaluate and use Claude AI and other LLM capabilities for software engineering productivity, knowledge management,

and delivery acceleration.
- Agentic AI Blueprints – Create blueprints for Goals Planning, Model Optimization, Handoffs, Skills, Output, and Validation.

Other Important Responsibilities

- Collaborate with business analysts, full-stack engineers, quality engineers, and delivery leaders.
- Review architecture and code for adherence to standards, reusable patterns, security expectations, and cloud-native engineering principles.
- Mentor engineers and technical leads on modernization, AI-augmented delivery, and pragmatic architecture practices.

TECHNICAL SKILLS

- Agentic AI Expertise – Deep expertise in the Agentic AI ecosystem, including tooling and technologies.

2.

Claude AI & Prompt Engineering – Architecture ideation, design comparison, prompt engineering, SDLC acceleration, and engineering productivity.

- AI Architecture & Governance – AISDLC policies, AI governance, security, and compliance.
- LLM Solution Patterns – Prompt design, context management, RAG, tool-assisted workflows, and human-in-the-loop validation.
- Responsible AI & Security – Output verification, privacy, security, auditability, and protected use of enterprise data.
- Cloud-Native Architecture – Docker, Kubernetes, CI/CD pipelines, and cloud-native engineering.
- Microservices & Event-Driven Architecture – REST APIs, messaging, Kafka, and microservices.

Qualifications

- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Strong analytical and problem-solving skills.
- Excellent communication and interpersonal skills.

📌 AI Architect (Hyderabad)
🏢 Webologix Ltd
📍 Hyderabad

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