Lead AI Engineer

Jade Global • Information Technology • IT Consulting & Digital Transformation • Python • JavaScript • Java • C# • Node JS • 27 days ago
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Salary
≈ $23k – $61k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Staff · 5+ years exp
Employment
Full-Time

First seen by Alion on Sep 24, 2026.

Overview
Company
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Jade Global

Discover Jade Global’s enterprise IT services in ERP, cloud, analytics, and managed services. Trusted partner for digital transformation and innovation.
jadeglobal.com • HQ: San Jose, United States • IT Consulting & Digital Transformation • Information Technology
Tech stack of Jade Global
Technical Skills

  • Engineering Stack: Strong hands-on proficiency in Python and/or .NET (C#, ASP.NET Core), Java, or Node.js.
  • AI & GenAI: Practical experience with GenAI APIs (OpenAI, Azure OpenAI), LangChain, LlamaIndex, RAG patterns, or agentic workflow frameworks.
  • Cloud & DevOps: Hands-on experience with AWS, Azure, or GCP—microservices, Docker, Kubernetes, and CI/CD pipelines (GitHub Actions, Azure DevOps).
  • Automation: Exposure to workflow orchestration engines, RPA tools, or custom automation scripts.
  • Enterprise Platforms: Familiarity with enterprise systems (Oracle, SAP, Salesforce, or ServiceNow) is a plus.
  • Certifications: Cloud Certification (AWS, Azure, or GCP) at associate/developer level is a plus.

Soft Skills

  • Clear technical communication—able to explain code implementation to teammates and project managers.
  • Collaborative team player accustomed to working across global/offshore time zones.
  • Curious and self-motivated — proactively explores new AI tools, frameworks, and engineering patterns.

Experience

  • Experience: 5–8 years of hands-on software engineering experience, with 3+ years as, Senior AI engineer
  • Hands-on experience building and delivering enterprise-grade solutions across cloud, AI/ML, and application engineering.
  • Experience working in client-facing delivery environments within IT services or consulting organizations is preferred.

Key Responsibilities

  • Hands-on Engineering & Delivery
  • Write production-grade code to build component-level features and API integrations based on technical designs and blueprints.
  • Actively contribute to daily engineering deliverables—developing backend microservices, driving unit testing, refactoring code, and resolving technical debt.
  • Conduct peer code reviews to ensure code quality, performance, maintainability, and adherence to team engineering standards.
  • Troubleshoot and resolve complex bugs, API integration issues, and performance bottlenecks within application microservices.

AI & Engineering Framework Adoption

  • Learn, implement, and integrate for AI-native feature— including GenAI integration patterns, agentic workflows, and intelligent automation
  • Contribute to the development and maintenance of AI engineering frameworks, solution accelerators, and reusable technical assets.
  • Evaluate and experiment with new tools, APIs, and platforms in the AI and cloud-native space.

Technical Consulting & Problem Solving

  • Engage with client technical teams to understand system landscapes, integration requirements, and technical constraints.
  • Propose pragmatic, technology-forward solutions to complex engineering challenges across application modernization, AI integration, and cloud migration.
  • Support the Solution and Principal Architect in pre-sales activities including technical assessments, proof-of-concept design, and effort estimation.

Cloud & Automation Execution

  • Develop and deploy cloud-native services on AWS, Azure, or GCP using containers (Docker, Kubernetes), serverless functions, and event-driven patterns.
  • Implement intelligent automation components using workflow orchestration engines, RPA integrations, or custom AI-driven pipelines.

Engineering Community & Mentoring

  • Mentor junior engineers—supporting technical upskilling on AI tools, cloud platforms, and modern engineering practices.
  • Contribute to Jade's internal community of practice through knowledge sharing, documentation, and participation in architecture discussions.


    • Education

    • Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related technical field is required.
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