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Concentrix

AI Platform Architect - AI SDLC Platform on Microsoft Azure.

Salary$122k – $150k
LocationUSA Omaha 222 South 15th Street, Suite 402S
Work modeon-site
Typefull-time
SeniorityLead
Experience8+ yrs
Company size10,000+ people
First seenOct 6, 2026 · 5d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have13
8+ years of software engineering experience
2+ years of hands-on experience with Generative AI, AI-assisted engineering, or agentic solutions
Strong experience in platform, application, or solution architecture
Hands-on experience with Microsoft Azure
Practical experience with Generative AI, LLMs, coding agents, agent orchestration
Experience using GitHub Copilot, Claude Code, or equivalent AI developer tools
Knowledge of context engineering, RAG, knowledge retrieval, embeddings
Strong understanding of CI/CD, DevOps, software testing, code review, containers
Working proficiency in Python
Strong experience with .NET / C# enterprise application architecture and development
Experience with AI evaluation, observability, security, governance, reliability, and cost management
Demonstrated ability to move architecture from design through successful production implementation
Strong technical leadership, communication, and collaboration skills
Nice to have4
Experience in manufacturing, industrial, or engineering environments
Familiarity with CAD/engineering drawings, PLM/PDM, MES, ERP, BOMs, or engineering change processes
Experience with brownfield .NET application modernization
Experience with Kubernetes, Terraform, OpenTelemetry, or self-hosted models
Skills
Microsoft Azure
Azure AI
Azure OpenAI
Azure DevOps
Entra ID
Git
GitHub Copilot
Claude Code
LangGraph
Semantic Kernel
LangChain
Python
.NET
C#
Kubernetes
Terraform
OpenTelemetry
Benefits
Medical insurance
Dental insurance
Vision insurance
Employee assistance program
401(k)
Paid time off
Job Title:
AI Platform Architect - AI SDLC Platform on Microsoft Azure.
Job Description
About the company
We’re Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled.
The global technology and services leader that powers the world’s best brands, today and into the future. We’re solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we’re the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent.
The Concentrix Technical Products and Services team is the driving force behind Concentrix’s transformation, data, and technology services. We integrate world-class digital engineering, creativity, and a deep understanding of human behavior to find and unlock value through tech-powered and intelligence-fueled experiences. We combine human-centered design, powerful data, and strong tech to accelerate transformation at scale. You will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience. Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Hence achieving our vision.
Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we’re proud to be recognized with awards such as “World’s Best Workplaces,” “Best Companies for Career Growth,” and “Best Company Culture,” year after year.
Join us and be part of this journey towards greater opportunities and brighter futures.
AI Platform Architect - AI SDLC Platform on Microsoft Azure - United States | Omaha, NE / Onsite (5 Days)
Position Summary
We are looking for an experienced AI Platform Architect – AI SDLC Platform on Microsoft Azure to lead the day-to-day technical architecture and implementation design of an enterprise AI SDLC platform. In this onsite role based in Omaha, Nebraska, you will partner with the Chief AI SDLC Platform Architect to translate strategic architecture into practical, scalable platform designs that engineering teams can successfully implement.
This is an opportunity to shape reusable AI-enabled engineering capabilities across developer workflows, agentic systems, context services, evaluation, observability, governance, and application modernization—especially within complex enterprise, manufacturing, industrial, or engineering environments.
Responsibilities
•
Own the detailed technical architecture and implementation design for the enterprise AI SDLC Platform on Microsoft Azure.
•
Translate strategic architecture direction into practical, scalable, secure, and production-ready platform solutions.
•
Design reusable AI platform capabilities, including coding agents, skills, context services, MCP/tool integrations, model access, workflow orchestration, evaluation, observability, security, governance, and traceability.
•
Define how AI is applied across the software development lifecycle, including requirements, architecture, development, code review, testing, CI/CD, modernization, and operations.
•
Architect integrations with Azure DevOps, Git, IDEs, CI/CD pipelines, enterprise APIs, security and code-quality tools, and enterprise knowledge sources.
•
Establish technical patterns for AI-assisted application modernization, including code understanding, refactoring, test generation, framework upgrades, and migration.
•
Partner closely with engineering teams to guide implementation, solve complex technical challenges, and promote consistent platform adoption.
•
Lead technical design sessions and create architecture guidance, implementation patterns, and decision frameworks.
•
Support platform capabilities that enable secure, observable, reliable, cost-conscious, and governed AI-assisted engineering workflows.
•
Collaborate across technical and business stakeholders to ensure platform designs align with enterprise engineering needs and delivery outcomes.
Qualifications
•
8+ years of software engineering experience, including meaningful architecture responsibility.
•
2+ years of hands-on experience with Generative AI, AI-assisted engineering, or agentic solutions.
•
Strong experience in platform, application, or solution architecture, including APIs, distributed systems, integration, scalability, resilience, and security.
•
Hands-on experience with Microsoft Azure, including Azure AI/OpenAI, Azure DevOps, Entra ID, Azure application hosting, storage, monitoring, and security services.
•
Practical experience with Generative AI, LLMs, coding agents, agent orchestration, MCP, tool calling, and multi-step AI workflows.
•
Experience using GitHub Copilot, Claude Code, or equivalent AI developer tools.
•
Knowledge of context engineering, RAG, knowledge retrieval, embeddings, and AI/LLM frameworks such as LangGraph, Semantic Kernel, LangChain, or equivalent.
•
Strong understanding of CI/CD, DevOps, software testing, code review, containers, and production engineering practices.
•
Working proficiency in Python.
•
Strong experience with .NET / C# enterprise application architecture and development.
•
Experience with AI evaluation, observability, security, governance, reliability, and cost management.
•
Demonstrated ability to move architecture from design through successful production implementation.
•
Strong technical leadership, communication, and collaboration skills.
Preferred Qualifications
•
Experience in manufacturing, industrial, or engineering environments.
•
Familiarity with CAD/engineering drawings, PLM/PDM, MES, ERP, BOMs, or engineering change processes.
•
Experience with brownfield .NET application modernization.
•
Experience with Kubernetes, Terraform, OpenTelemetry, or self-hosted models.
The base salary range for this position is $122,001 - $150,000 plus incentives that align with individual and company performance. Actual salaries will vary based on work location, qualifications, skills, education, experience, and competencies. Benefits available to eligible employees in this role include medical, dental, and vision insurance, comprehensive employee assistance program, 401(k) retirement plan, paid time off and holidays.
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