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Principle Architect - Software/ AI Native Engineer - Tech Mahindra - St. Louis, United States

Software Architect

Posted: July 16, 2026
Posted 8 days ago
Last seen in crawl: July 23, 2026 (today)
Application Deadline: August 31, 2026
Role & Management
Role Level:Mid-Level
Management Tier:No People Management
Job Type
Experience
12 years

Job Description

Role- Principle Architect - Software/ AI Native Engineer Location - St. Louis MO (Onsite) Preferred Qualification Experience building AI-native engineering organizations. Exposure to MCP (Model Context Protocol) architectures and agent ecosystems. Experience with AI Foundry, Bedrock, OpenAI, Anthropic, or similar AI platforms. Experience implementing enterprise developer platforms and internal engineering products. Strong understanding of AI governance and responsible AI frameworks. Technical Skills Deep understanding of: Software Engineering, Cloud Native Architecture, API Management, Microservices, DevOps & Platform Engineering Experience with: GitHub Copilot, Claude Code CLI, AI-assisted development platforms, LLM integrations, Agentic systems, AI orchestration frameworks Strong knowledge of AWS enterprise cloud platform Key Expectations To focus on leveraging technologies such as GitHub Copilot, Claude Code CLI, Model Context Protocol (MCP), AI Agents, Developer Platforms, and Enterprise API Integration frameworks to fundamentally redefine how software is designed, built, tested, deployed, and operated. This role aligns with emerging AI-native development models that emphasize agentic workflows, AI-assisted coding, MCP-enabled integrations, and rapid prototyping The pay range for this role is $140k - $170K per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law).

Company Information

Tech Mahindra logo
Technology
Current open roles at Tech Mahindra on JobCrawls
LocationActive listings
Remote - Global71
Remote9
Current role mix at Tech Mahindra on JobCrawls
Role typeActive listings
Tech Lead10
Software Engineer9
Senior Software Engineer5
Data Engineer5
Network Engineer3
Data Analyst3
Talend ETL Developer3
Data Scientist3
Security Analyst2
Database Administrator2
Project Manager2
Support Engineer2
Microsoft Dynamics 365 F&O Data Migration Lead1
iOS Mobile Developer1
Power BI Developer1
UEFI Developer1
Fullstack Developer1
Enterprise Architect1
Senior TIM Engineer1
Business System Analyst1
Finance Functional Consultant1
Program Manager1
SAP APO Consultant1
Business Analyst1
Software Development Engineer1
Practice Specialist1
Infrastructure Management Specialist1
Project Lead.NET1
Solution Architect1
System Engineer1
Software Analyst1
Software Development Specialist1
Solution Engineer1
Visual Designer1
Business Systems Analyst1
ETL Developer1
QA Automation1
Cloud FinOps1
D365 F&O Technical1
OS Modernization SME1
Functional Consultant1
Project Lead1
Network Support Engineer1
Current role-level mix at Tech Mahindra on JobCrawls
Role levelActive listings
Mid-Level71
Senior5

Tech Mahindra appears in 80 indexed job postings in JobCrawls' Finland dataset since December 2025. In that historical index, the strongest location signals for this employer are Remote - Global and Remote.

Data shown is based on historical job postings from our database.

Job Details

Responsibilities

  • Leverage technologies such as GitHub Copilot, Claude Code CLI, Model Context Protocol (MCP), and AI Agents to redefine software design and operation
  • Implement Enterprise API Integration frameworks
  • Apply AI-native development models emphasizing agentic workflows and AI-assisted coding
  • Conduct rapid prototyping using MCP-enabled integrations

Requirements

  • Bachelor’s or Higher Degree
  • 12.00 to 15.00 years of total experience
  • Experience building AI-native engineering organizations
  • Exposure to MCP (Model Context Protocol) architectures and agent ecosystems
  • Experience with AI Foundry, Bedrock, OpenAI, Anthropic, or similar AI platforms
  • Experience implementing enterprise developer platforms and internal engineering products
  • Strong understanding of AI governance and responsible AI frameworks

Skills & Technologies

Software EngineeringCloud Native ArchitectureAPI ManagementMicroservicesDevOpsPlatform EngineeringGitHub CopilotClaude Code CLILLM integrationsAgentic systemsAI orchestration frameworksAWS

Education Level

Bachelor
18 hours agoContent Complete

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