AI Platform Architect - AI SDLC Platform on Microsoft Azure.

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.

We The deadline to apply for this position is: 10/25/2026. This position is for an existing, immediate vacancy. We are currently seeking to fill this role with an individual who can start as soon as possible.

At Concentrix, we provide customer experience solutions that may involve handling sensitive data. As part of our hiring process, all candidates must undergo a background check in accordance with applicable law, which will include identity verification and employment eligibility.

Physical and Mental

Requirements

The employee is regularly required to operate a computer, keyboard, telephone/headset, and/or other office equipment as essential functions of this position. Work is generally sedentary in nature.

Equal Employment Opportunity

Concentrix is an equal opportunity and affirmative action (EEO-AA) employer. We promote equal opportunity to all qualified individuals and do not discriminate in any phase of the employment process based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy or related condition, disability, status as a protected veteran, or any other basis protected by law.

For more information regarding your EEO rights as an applicant, please visit the following websites:

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Accommodation

Concentrix welcomes and enco