AI Architect

Webologix Ltd/ INC; Hyderabad; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

Webologix Ltd/ INC is seeking a senior architect to drive Agentic AI initiatives and end-to-end software architecture across frontend, APIs, and microservices in Hyderabad, India.

You will mentor engineers on AI-augmented delivery, align with AISDLC policies, and ensure secure, scalable solutions leveraging Claude/LLM capabilities.

Qualifications

• Bachelor's degree in CS/IT or related field
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills

Responsibilities

• Agentic AI expertise across the Agentic AI ecosystem
• Define end-to-end technical architecture across frontend, APIs, microservices, data and deployment layers
• Mentor engineers on modernization and AI-augmented delivery
• Collaborate with business analysts, full-stack engineers, quality engineers, and delivery leaders

Skills

Agentic AI

Architecture Patterns

Java

Python

Software Engineering

Design Architecture

Education

Bachelor's degree in Computer Science/IT

Tools

Vector Store DB

RAG

Angular

Application Security

DevSecOps

Docker

Kubernetes

Job description

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

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:

• 1. Agentic AI Expertise – Deep expertise in all aspects of the Agentic AI ecosystem, including tooling and technologies.
• 2. AI Architecture & Governance – Develop architecture ideation based on organizational AISDLC policies, covering governance and security.
• AI Integration – Deep expertise in incorporating AI elements into business solutions and software engineering.
• 4. 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.
• 5. AI-Assisted SDLC – Integrate AI-assisted engineering practices into SDLC, including requirements refinement, design exploration, code generation, test acceleration, and documentation.
• 6. Claude AI & LLM – Evaluate and use Claude AI and other LLM capabilities for software engineering productivity, knowledge management, and delivery acceleration.
• 7. Agentic AI Blueprints – Create blueprints for Goals Planning, Model Optimization, Handoffs, Skills, Output, and Validation.
• Other Important Responsibilities
• 1. Collaborate with business analysts, full-stack engineers, quality engineers, and delivery leaders.
• 2. Review architecture and code for adherence to standards, reusable patterns, security expectations, and cloud-native engineering
• 3. Mentor engineers and technical leads on modernization, AI-augmented delivery, and pragmatic architecture practices.

TECHNICAL SKILLS

• 1. Agentic AI Expertise – Deep expertise in the Agentic AI ecosystem, including tooling and technologies.
• Claude AI & Prompt Engineering – Architecture ideation, design comparison, prompt engineering, SDLC acceleration, and engineering productivity.
• 3. AI Architecture & Governance – AISDLC policies, AI governance, security, and compliance.
• 4. LLM Solution Patterns – Prompt design, context management, RAG, tool-assisted workflows, and human-in-the-loop validation.
• 5. Responsible AI & Security – Output verification, privacy, security, auditability, and safe use of enterprise data.
• 6. Cloud-Native Architecture – Docker, Kubernetes, CI/CD pipelines, and cloud-native engineering.
• 7. 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.