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AI Solution Architect
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Team Lead, Engineering - Fluent Commerce
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Principal Engineer, Hybris
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Outsystems architect
Codash Solutions —Remote
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IT Recruiter
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Software Engineer - Fluent Commerce
Pivotree —Remote
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AI Solution Architect

TECH NEXT
Remote

Quick apply

Job details

Full-time | Contractual / Temporary

Qualifications

CI/CD
Authentication
Azure
Oracle
Law
Computer Science
Kubernetes
SAP
Salesforce
Git
English
Enterprise architecture
Master's degree
RBAC
OS Kernels
Docker
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
Working Time Zone: Portuguese / US Time Zones
Employment Type: Full-Time

Job Summary

We are seeking a highly experienced AI Solutions Architect to design, architect, and deliver enterprise-grade Agentic AI and Generative AI solutions that solve complex business problems.

The ideal candidate will combine strong technical architecture skills with hands-on experience in LLMs, multi-agent systems, RAG, Azure OpenAI, enterprise integrations, and backend engineering. The role will focus on building scalable, secure, and production-ready AI platforms integrated with enterprise applications such as ServiceNow, ERP, CRM, and data analytics 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, reliability, and production readiness.
Design and orchestrate multi-agent AI systems and workflow-based AI solutions.
Translate complex business requirements into scalable AI-driven workflows and technical architectures.
Integrate AI solutions with enterprise platforms such as ServiceNow, ERP systems, CRM platforms, and data/analytics environments.
Design effective RAG and grounding strategies to improve AI accuracy and reliability.
Implement AI safety mechanisms including guardrails, grounding, validation, and responsible AI practices.
Establish best practices for observability, logging, monitoring, performance optimization, and troubleshooting.
Collaborate with business stakeholders, engineering teams, product teams, and technical leadership.
Lead architecture decisions and provide technical guidance for enterprise AI implementations.

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 in software engineering/backend development.
Strong hands-on experience designing and delivering Generative AI solutions in enterprise environments.
Strong knowledge of LLMs and Agentic AI architectures.
Experience with GPT models and LLM-based applications.
Strong understanding of:
RAG architecture
Grounding strategies
Tool/function calling
Prompt engineering
AI agents and orchestration
Hands-on experience designing orchestrator and multi-agent systems, preferably using LangGraph or similar frameworks.
Strong Python and backend development experience.
Strong experience with REST APIs, system integration, and authentication mechanisms.
Experience with OAuth, Microsoft Entra ID, RBAC, or similar enterprise authentication technologies.
Experience integrating AI solutions with enterprise platforms such as ServiceNow, Salesforce, ERP systems, or similar platforms.
Strong experience with Microsoft Azure, including Azure OpenAI.
Experience with container-based deployments using Docker/Kubernetes or similar technologies.
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

Experience with enterprise AI platforms and large-scale AI transformation initiatives.
Experience with LangGraph, LangChain, Semantic Kernel, or similar AI orchestration frameworks.
Experience with Azure cloud services and Azure-native AI architectures.
Experience with enterprise workflow automation and system integration.
Experience implementing AI observability, guardrails, evaluation frameworks, and governance.
Experience with ServiceNow, Salesforce, SAP, Oracle, or other enterprise platforms.

What We Offer

Opportunity to architect and deliver cutting-edge Agentic AI and Generative AI solutions.
Work on complex enterprise AI transformation initiatives.
Collaborate with global stakeholders and cross-functional technology teams.
Opportunity to influence AI architecture, engineering standards, and enterprise AI strategy.

Experience:

Back-end development: 5 years (Required)

Work Location: Remote

Quick apply

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sap data jobs in remote

AI Solution Architect

Senior Technical Sales Engineer

RPA Solution Architect

Dell Boomi Integration Architect

AI Architect

Team Lead, Engineering - Fluent Commerce

Principal Engineer, Hybris

UiPath Developer – Japanese Language Support

Outsystems architect

IT Recruiter

Software Engineer - Fluent Commerce

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