aimlroles

JAVA + AI Architect

Fa Etvl Saasfaprod1 Open · verified Oct 22, 2026
India Mid-level AI Engineering

At a glance

Mid-level AI Engineering role at Fa Etvl Saasfaprod1. India.

Pay not stated AI Architect salary

RoleAI Engineering
SeniorityMid-level
LocationIndia
PostedOct 12, 2026 · 10d ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Set the architecture for Java enterprise applications that use AI, balancing security, performance and scale
  • Build AI use cases such as assistants, document processing, knowledge search and recommendation systems
  • Connect language models and AI services to enterprise systems through APIs and microservices
  • Create RAG and vector-search designs, and guide adoption of generative, machine-learning and agent-based AI
  • Review solutions and code, improve performance, and mentor architects and engineering teams

What you bring

  • You have strong Java architecture expertise, including Spring Boot, microservices and distributed systems
  • You bring deep knowledge of generative AI, language models, RAG and vector databases
  • You have hands-on experience with AI frameworks and cloud platforms named for this role
  • You hold a bachelor's or master's degree in computer science, engineering, AI or a related field

Who this fits

This mid-level role suits someone who can set technical direction and guide architects and development teams. It also calls for stakeholder and client engagement, including work with globally distributed teams.

From the employer

Job Summary

We are seeking a highly experienced Java + AI Architect to lead the design and implementation of enterprise-scale applications powered by Artificial Intelligence and Generative AI. The ideal candidate will have deep expertise in Java-based application architecture, cloud-native technologies, AI/ML platforms, Large Language Models (LLMs), and enterprise integration patterns.

Key Responsibilities

  • Define and drive the architecture for Java-based enterprise applications integrated with AI capabilities.
  • Design scalable, secure, and high-performance AI-powered solutions using modern architectural principles.
  • Lead the adoption of Generative AI, Machine Learning, and Agentic AI across enterprise platforms.
  • Architect and implement AI use cases such as chatbots, intelligent assistants, document processing, knowledge search, and recommendation engines.
  • Design Retrieval-Augmented Generation (RAG) frameworks and vector-based search architectures.
  • Integrate LLMs and AI services with enterprise systems using APIs and microservices.
  • Collaborate with business stakeholders, product teams, engineering teams, and leadership to translate business requirements into technical solutions.
  • Define best practices, coding standards, security standards, and architecture guidelines.
  • Provide technical leadership, mentoring, and guidance to development teams.
  • Drive solution reviews, performance optimization, and scalability assessments.

Required Skills

Java Architecture

  • Strong expertise in Java 8/11/17+.
  • Extensive experience with:
    • Spring Boot
    • Spring Cloud
    • Microservices Architecture
    • REST APIs
    • Event-Driven Architecture
    • Distributed Systems
  • Experience with:
    • Kafka
    • RabbitMQ
    • ActiveMQ
  • Strong understanding of:
    • Design Patterns
    • Domain-Driven Design (DDD)
    • SOLID Principles
    • Enterprise Integration Patterns

AI & Generative AI

  • Deep understanding of:
    • Machine Learning
    • Deep Learning
    • Natural Language Processing (NLP)
    • Generative AI
    • Large Language Models (LLMs)
  • Experience with:
    • OpenAI
    • Azure OpenAI
    • AWS Bedrock
    • Google Vertex AI
    • Anthropic Claude
    • Open-Source Models (Llama, Mistral, etc.)
  • Hands-on experience in:
    • Prompt Engineering
    • Fine-Tuning
    • RAG Architecture
    • Vector Databases
    • AI Agents
    • AI Governance

AI Frameworks & Tools

  • Experience with:
    • LangChain
    • LangGraph
    • LlamaIndex
    • Semantic Kernel
    • CrewAI
    • AutoGen
  • Vector Databases:
    • Pinecone
    • ChromaDB
    • Weaviate
    • FAISS

Cloud & DevOps

  • Expertise in one or more cloud platforms:
    • Microsoft Azure
    • AWS
    • Google Cloud Platform (GCP)
  • Experience with:
    • Docker
    • Kubernetes
    • OpenShift
    • CI/CD Pipelines
    • Terraform

Data Technologies

  • Strong knowledge of:
    • SQL
    • NoSQL Databases
    • Data Warehousing
    • Data Pipelines
    • Apache Spark
    • Databricks

Leadership Responsibilities

  • Lead architecture governance and technology roadmap initiatives.
  • Conduct architecture and code reviews.
  • Mentor architects, technical leads, and development teams.
  • Evaluate new AI technologies and recommend adoption strategies.
  • Engage with clients and leadership teams on solution strategy and innovation initiatives.

Preferred Skills

  • Experience in building enterprise AI platforms.
  • Knowledge of MLOps and Model Lifecycle Management.
  • Experience with AI security, Responsible AI, and compliance frameworks.
  • Exposure to Retail, BFSI, Healthcare, or Manufacturing domains.
  • AI and Cloud certifications from Microsoft, AWS, Google, or equivalent.

Educational Qualification

  • Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field.

Soft Skills

  • Excellent stakeholder management and communication skills.
  • Strong analytical and problem-solving abilities.
  • Strategic thinking and decision-making capabilities.
  • Ability to lead globally distributed teams.
  • Strong consulting and client-facing skills.

Nice to Have

  • Experience designing enterprise-scale AI transformation programs.
  • Knowledge of Multi-Agent Architectures and Autonomous AI Systems.
  • Published technical papers, patents, or conference presentations in AI or enterprise architecture.
  • Experience with AI Centers of Excellence (CoE) and innovation initiatives.