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AI Solutions Architect – Agentic AI & GenAI
Technology Next —Remote
- ₹90,000 - ₹1,30,000 a month
- Full-time
- Remote
- Azure
- Oracle
- Computer Science
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AI Solution Architect
TECH NEXT —Remote
- Full-time
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- Azure
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- Computer Science
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Internship - B2B Sales & Marketing Planning
Kinzoku Consultancy & Trade —Remote
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AI Solution Architect
TECH NEXT —Remote
We are seeking a highly experienced *AI Solutions Architect* to design, architect, and deliver enterprise-grade *Agentic AI and Generative AI solutions* that…
Quick apply
AI Solutions Architect – Agentic AI & GenAI
Technology Next —Remote
We are looking for a highly experienced *AI Solutions Architect* to design, architect, and deliver enterprise-grade *Agentic AI and Generative AI solutions* for…
₹90,000 - ₹1,30,000 a month
Quick apply

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AI Solutions Architect – Agentic AI & GenAI

Technology Next -
Remote

Quick apply

Job details

Full-time | Contractual / Temporary
₹90,000 - ₹1,30,000 a month

Qualifications

CI/CD
Authentication
Azure
Oracle
Law
Computer Science
Enterprise Software
SAP
Salesforce
Git
English
Enterprise architecture
Master's degree
RBAC
OS Kernels
Bachelor's degree
Continuous integration
Back-end development
REST
GitHub
APIs
Portuguese
ServiceNow
Scalability
AI
Python

Full job description

AI Solutions Architect – Agentic AI & GenAI

Experience: 10+ Years
Location: Remote / Flexible
Working Time Zone: Portuguese / US Time Zones
Role: AI Solutions Architect

Job Summary

We are looking for a highly experienced AI Solutions Architect to design, architect, and deliver enterprise-grade Agentic AI and Generative AI solutions for complex business use cases.

The ideal candidate will have strong expertise in LLMs, Agentic AI, RAG, multi-agent architectures, Python, Azure OpenAI, enterprise integrations, and backend engineering. You will work closely with business and technical stakeholders to build scalable, secure, and production-ready AI solutions integrated with enterprise platforms.

Key Responsibilities

Design and deliver enterprise-grade Agentic AI and Generative AI solutions using LLMs.
Define end-to-end AI architectures with a focus on scalability, security, performance, and production readiness.
Build and orchestrate multi-agent AI systems and workflow-based solutions.
Translate business requirements and real-world use cases into AI-driven workflows and technical architectures.
Integrate AI solutions with ServiceNow, ERP systems, CRM platforms, and data/analytics environments.
Design and implement RAG, grounding, tool/function calling, and AI orchestration patterns.
Establish best practices for observability, logging, monitoring, performance optimization, and AI safety.
Implement AI safety mechanisms such as grounding and guardrails.
Collaborate with business stakeholders, engineering teams, and technical leadership to drive successful AI solution delivery.

Required Skills & Experience

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
10+ years of overall experience with at least 5+ years of software engineering experience.
Strong backend development experience, preferably with Python.
Proven experience designing and delivering enterprise Generative AI solutions.
Hands-on experience with LLMs, including GPT or similar models.
Strong experience with Agentic AI and agent architectures.
Solid understanding of:
RAG Architecture
Grounding Strategies
Tool/Function Calling
Prompt Engineering
LLM Orchestration
Experience designing orchestrator and multi-agent systems, preferably using LangGraph or similar frameworks.
Strong experience with REST APIs and enterprise system integration.
Experience with authentication and authorization technologies such as OAuth, Microsoft Entra ID, and RBAC.
Experience integrating AI solutions with ServiceNow, Salesforce, ERP systems, or similar enterprise platforms.
Strong experience with Microsoft Azure, including Azure OpenAI.
Experience with container-based deployments.
Familiarity with CI/CD pipelines, preferably GitHub Actions.
Strong understanding of enterprise architecture, security, scalability, and production deployment.
Fluent English – written and spoken is mandatory.

Preferred Skills

LangGraph, LangChain, Semantic Kernel, or similar AI frameworks.
Experience with enterprise AI transformation initiatives.
Azure cloud-native AI architectures.
AI observability and evaluation frameworks.
AI governance, safety, and guardrails.
Experience with ServiceNow, Salesforce, SAP, Oracle, or other enterprise platforms.

Pay: ₹90,000.00 - ₹130,000.00 per month

Experience:

Back-end development: 4 years (Required)

Work Location: Remote

Quick apply

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lead, engineering fluent jobs in remote

AI Solutions Architect – Agentic AI & GenAI

AI Solution Architect

Internship - B2B Sales & Marketing Planning

IT Architect Modern Workplace

Big Data Analytics Engineer - Hadoop / Hive - Banking Domain

Senior Software Engineer – Java / Quarkus / Distributed Systems

IT Senior Architect - Linux & Open-Source

Senior Cloud Architect (Azure)

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