Solution Architect_GenAI (Agentic AI)

Anlage Infotech

Hyderabad, Chennai District, Bengaluru

On-site

INR 4,000,000 - 7,000,000

Full time

14 days+

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Job summary

Anlage Infotech in India is seeking an experienced Solution Architect GenAI / Agentic AI with 10+ years of IT experience. The role focuses on designing scalable, secure architectures and leading engineering teams in GenAI and Agentic AI initiatives.

The position is Hybrid, Full-Time, PAN India, requiring deep expertise in Java, Spring Boot, Python, and cloud-native architectures for enterprise AI integration.

Qualifications

Bachelor's or Master's degree in Computer Science, IT, Engineering, or a related discipline.
Hands-on experience designing GenAI/Agentic AI architectures and platforms.
Proven ability to translate business requirements into scalable tech solutions.

Responsibilities

Define end-to-end solution architectures for enterprise AI platforms.
Architect GenAI and Agentic AI solutions with modern frameworks.
Design LLM-powered apps with RAG, prompts, vectors, and enterprise data.
Evaluate models/frameworks to meet business goals and security needs.
Provide technical leadership across Java, Spring Boot, Python, cloud, microservices, and AI engineering.
Define cloud-native architectures on GCP/Azure/AWS.
Lead microservices integration using REST APIs and event-driven patterns.
Oversee deployment architectures with Docker, Kubernetes and CI/CD.
Ensure governance, security, privacy, and responsible AI across projects.

Skills

Solution Architecture

Technical Leadership

Enterprise Architecture

Java

Python

GenAI / Agentic AI

LLMs

RAG

Prompt Engineering

Cloud Architecture

Microservices

REST APIs

AI Governance & Security

Stakeholder Management

Team Collaboration

Education

Bachelor or Master in Computer Science / IT / Engineering

Tools

Docker

Kubernetes

LangChain

LangGraph

CrewAI

AutoGen

Semantic Kernel

Vector Databases

Pinecone

FAISS

Chroma

Qdrant

Weaviate

Milvus

Job description

Solution Architect GenAI / Agentic AI

Experience: 10+ Years

Location: PAN India

Employment Type: Full-Time

Work Mode: Hybrid

Job Overview

We are looking for an experienced Solution Architect GenAI / Agentic AI with 10+ years of overall IT experience and strong expertise in solution architecture, Java, Spring Boot, Python, cloud-native technologies, and modern AI architectures.

The ideal candidate will have hands-on experience designing and implementing Generative AI and Agentic AI solutions, including LLM-based applications, RAG architectures, AI agents, prompt engineering, vector databases, and enterprise AI integrations.

The candidate should be capable of translating business requirements into scalable, secure, and production-ready technology architectures while providing technical leadership to engineering teams.

Key Responsibilities

Define and design end-to-end solution architectures for enterprise applications and AI-powered platforms.
Architect and implement GenAI and Agentic AI solutions using modern AI frameworks and technologies.
Design LLM-powered applications incorporating RAG, prompt engineering, vector databases, AI agents, and enterprise data sources.
Evaluate and select appropriate AI models, frameworks, platforms, and architectural approaches based on business requirements.
Provide technical leadership across Java, Spring Boot, Python, cloud, microservices, and AI engineering.
Design scalable and resilient cloud-native architectures on GCP, Azure, or AWS.
Define microservices-based architectures and integrations using REST APIs and event-driven patterns.
Guide development teams on architecture, design principles, coding standards, performance, scalability, and security.
Design and oversee deployment architectures using Docker, Kubernetes, and CI/CD pipelines.
Establish best practices for integrating AI capabilities into existing enterprise applications and platforms.
Address AI-specific considerations including security, governance, privacy, explainability, responsible AI, and model risk.
Conduct architecture reviews, technology evaluations, and proof-of-concepts for emerging AI technologies.
Collaborate with business stakeholders, product managers, engineering teams, data teams, and security teams.
Identify technical risks, define mitigation strategies, and ensure solutions meet enterprise architecture standards.

Mandatory Technical Skills

Solution Architecture

10+ years of overall IT experience with significant experience in Solution Architecture / Technical Architecture.
Strong experience designing scalable, highly available, secure, and maintainable enterprise solutions.
Ability to create architecture diagrams, technical designs, integration patterns, and technology roadmaps.
Strong understanding of architecture principles, design patterns, scalability, performance, and resilience.

Java / Spring Boot / Python

Strong hands-on expertise in Java.
Strong experience with Spring Boot and developing enterprise-grade applications.
Strong programming experience in Python, particularly for AI/ML and GenAI integrations.
Experience integrating AI capabilities with existing Java/Python enterprise applications.

GenAI / Agentic AI

Hands-on experience with one or more modern GenAI / Agentic AI frameworks, such as:

LangChain
LangGraph
CrewAI
AutoGen
Semantic Kernel

Strong understanding of:

Generative AI architectures
Agentic AI
AI agents and multi-agent systems
Tool/function calling
Agent orchestration
Memory and context management
AI workflow orchestration
LLM application architecture

LLM & RAG

Strong hands-on knowledge of:

Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Prompt Engineering
Embeddings
Vector Search
Vector Databases
Context management
AI/LLM integrations
Model/API integration
LLM evaluation and optimization

Experience with vector databases such as Pinecone, FAISS, Chroma, Qdrant, Weaviate, Milvus, or equivalent is desirable.

Cloud & Cloud-Native Architecture

Strong experience with at least one major cloud platform:

Google Cloud Platform (GCP)
Microsoft Azure
Amazon Web Services (AWS)

Good understanding of:

Cloud-native application architecture
Containers and container orchestration
Serverless technologies
Cloud security
IAM
Networking
Scalability and high availability
Monitoring and observability

Microservices & DevOps

Strong experience with:

Microservices architecture
REST APIs
API Gateway
Docker
Kubernetes
CI/CD
Git-based development
Automated build and deployment pipelines
Application monitoring and logging

AI Governance & Security

The candidate should have a strong understanding of enterprise AI governance and responsible AI principles, including:

AI security
Data privacy and protection
Responsible AI
AI governance frameworks
Model risk management

Prompt injection and AI-specific security risks

Data leakage prevention

Access control

Auditability and traceability

Model monitoring and evaluation

Ethical and responsible use of AI

Preferred / Good-to-Have Skills

Experience with enterprise GenAI transformation initiatives.
Experience building production-grade Agentic AI platforms.
Exposure to Azure OpenAI, AWS Bedrock, Google Vertex AI, or equivalent AI platforms.
Experience with LLMs such as GPT, Claude, Gemini, Llama, or equivalent.
Knowledge of enterprise integration patterns and event-driven architecture.
Experience with Kafka or other messaging platforms.
Knowledge of SQL/NoSQL databases.
Experience with observability and AI application monitoring.
Experience leading architecture POCs and technology evaluations.

Key Competencies