Hr Java production support engineer Jobs – 77 Open Jobs Today

AI Architect
Luxoft —Gurugram, Haryana
- Azure
- English
- Java
Senior Agentic Full-Stack Engineers
NTT Ltd —Gurugram, Haryana
- Java
- Master's degree
- Databases
1d
AI Infrastructure Architect
Accenture —Gurugram, Haryana
- Full-time
- Computer Science
- DevOps
- Java
11d
Principal Agentic AI Engineer / Hands-on Technical Lead
NTT Ltd —Gurugram, Haryana
- Java
- Master's degree
- APIs
1d
AI Architect
KlearNow.ai —Gurugram, Haryana
- Full-time
- Azure
- Doctoral degree
- Computer Science
Quick apply
Software Engineer II
Spring Financial Inc. —Gurugram, Haryana
- Full-time
- Hybrid work
- Java
- Databases
- APIs
Quick apply
Lead, Engineering
MongoDB —Gurugram, Haryana
- Azure
- Management
- Java
Senior Backend (AI / Machine Learning) Engineer
Afternow —Haryana
- ₹3,000 - ₹4,000 a month
- Full-time
- Remote
- Spanish
- English
- Java
- Flexible schedule
Quick apply
Senior Frontend Developer (React/Next.js)
Afternow —Haryana
- ₹3,000 - ₹4,000 a month
- Urgently hiring
- Remote
- Spanish
- English
- Java
- Flexible schedule
Quick apply
Sr Mgr - IT Appl Development
United Airlines —Gurugram, Haryana
- Full-time
- Engineering
- System design
- Java
- Health insurance
3h
Software Development Engineer, AI Ops Integration
ADCI - Haryana —Gurugram, Haryana
- Full-time
- Computer Science
- Java
- Master's degree
2h

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AI Architect

Luxoft -
Gurugram, Haryana

Apply Now

Job details

Qualifications

CI/CD
Knowledge management
Azure
Cloud architecture
Node.js
Software deployment
System architecture
English
Google Cloud Platform
Java
Databases
Microservices
OS Kernels
AWS
Distributed systems
Continuous integration
Mentoring
APIs
IT
Metadata
AI
Communication skills
Graph databases
Python

Full job description

Project description

We are seeking an experienced and visionary Generative AI Architect to lead the design, architecture, and adoption of enterprise-scale Generative AI solutions. This role will be responsible for defining AI strategy, architecting scalable and secure GenAI platforms, and enabling the successful implementation of AI-powered products across the organization.

You should possess deep expertise in Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), MLOps, cloud-native architectures, and enterprise integration patterns. The architect will work closely with business stakeholders, engineering teams, data scientists, and technology leadership to deliver transformative AI solutions that drive business value.

Responsibilities

AI Strategy & Architecture:

Define and drive the enterprise Generative AI architecture vision, standards, and technology roadmap.

Design scalable, resilient, secure, and cost-optimized AI solutions leveraging LLMs, Agentic AI frameworks, multimodal models, and AI platforms.

Establish reference architectures, reusable frameworks, and best practices for enterprise AI adoption.

Lead architecture reviews and provide technical governance across AI initiatives.

Evaluate emerging AI technologies, models, frameworks, and vendors to guide strategic investments.

Generative AI Solution Design:

Architect and oversee the implementation of enterprise-grade GenAI applications, including:

Intelligent Assistants and Chatbots

Enterprise Search and Knowledge Management

Document Intelligence and Summarization

Code Generation and Developer Productivity Solutions

Agentic AI and Autonomous Workflows

Multimodal AI Applications:

Design advanced RAG architectures using vector databases, knowledge graphs, semantic search, and hybrid retrieval techniques.

Architect prompt engineering frameworks, agent orchestration patterns, memory mechanisms, and contextual reasoning pipelines.

Platform & Cloud Architecture:

Design cloud-native AI platforms on AWS, Azure, and GCP.

Define AI infrastructure requirements, including GPU utilization, model serving, inference optimization, and scaling strategies.

Architect enterprise AI workbenches and reusable platform capabilities.

Design secure API and microservices-based architectures for GenAI integration.

Enable hybrid and multi-cloud AI deployment strategies.

AI Engineering & MLOps:

Define enterprise MLOps and LLMOps frameworks for model lifecycle management.

Architect CI/CD pipelines for AI model training, validation, deployment, monitoring, and governance.

Lead implementation of AI observability, model monitoring, drift detection, performance tracking, and operational excellence.

Guide optimization strategies, including model quantization, distillation, caching, and inference acceleration.

Security, Compliance & Responsible AI

Establish AI governance frameworks aligned with organizational and regulatory requirements.

Define security controls for GenAI systems, including prompt injection protection, data privacy, model security, and access management.

Ensure compliance with Responsible AI principles, security regulations, and enterprise governance standards.

Conduct architecture risk assessments and recommend mitigation strategies.

Stakeholder Leadership & Innovation:

Partner with business executives and domain leaders to identify high-value AI transformation opportunities.

Translate business requirements into scalable AI architecture solutions.

Lead discovery workshops, architecture assessments, and client presentations.

Mentor AI engineers, solution architects, and development teams.

Drive innovation through PoCs, accelerators, reusable assets, and AI platform components.

Documentation & Governance:

Develop architecture blueprints, design standards, technical roadmaps, and implementation guidelines.

Present architecture recommendations, business cases, and technical strategies to leadership and executive stakeholders.

Support enterprise-wide AI adoption and change management initiatives.

Skills

Must have

12+ years of overall IT experience with 6+ years in AI/ML and 4+ years leading Generative AI architecture and solution design initiatives.

Proven experience architecting large-scale enterprise AI and GenAI platforms from concept through production deployment.

Experience leading technical teams and cross-functional enterprise programs.

Generative AI Expertise

Deep understanding of:

Large Language Models (GPT, Claude, Gemini, LLaMA, Mistral)

Transformer architectures

Diffusion models

Multimodal AI systems

Agentic AI frameworks

Strong experience with:

Prompt Engineering

RAG architectures

Fine-tuning and model customization

Embedding models

AI orchestration frameworks

Technology Stack

Expert-level proficiency in Python.

Strong experience with Java and/or Node.js

Hands-on experience with:

LangChain

LangGraph

LlamaIndex

Hugging Face

Semantic Kernel

AutoGen or similar agent frameworks

Data & Retrieval Technologies

Experience designing enterprise data architectures supporting AI workloads

Expertise with vector databases, including:

Pinecone

Weaviate

Chroma

FAISS

Azure AI Search

Strong understanding of ETL, metadata management, knowledge management, and data pipelines.

Cloud & Platform Engineering

Strong expertise in one or more cloud platforms:

Microsoft Azure

AWS

Google Cloud Platform

Hands-on experience with:

Azure OpenAI

Vertex AI

Amazon Bedrock

Azure AI Foundry

Azure ML

MLflow

Kubeflow

Architecture & Enterprise Skills

Strong expertise in:

Distributed systems architecture

Microservices

API design

Event-driven architectures

Enterprise integration patterns

Security and governance frameworks

Experience defining architecture standards and technology roadmaps.

Leadership & Communication:

Excellent stakeholder management and executive communication skills

Ability to influence technical and business leaders

Strong consulting, presentation, and problem-solving abilities

Experience mentoring architects, engineers, and AI practitioners

Nice to have

N/A

Other

Languages

English: C1 Advanced

Seniority

Lead

Gurugram, India

Req. VR-124011

AI/ML

BCM Industry

03/08/2026

Req. VR-124011

Apply Now

Refine Your Search

java production support engineer jobs in hr

AI Architect

Senior Agentic Full-Stack Engineers

AI Infrastructure Architect

Principal Agentic AI Engineer / Hands-on Technical Lead

AI Architect

Software Engineer II

Lead, Engineering

Senior Backend (AI / Machine Learning) Engineer

Senior Frontend Developer (React/Next.js)

Sr Mgr - IT Appl Development

Software Development Engineer, AI Ops Integration

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