Senior Development Engineer – Automation & AI Platforms

About

• Company Overview: HCLTech is a global technology leader with a diverse team of over 226,000 professionals across more than 60 countries. The company specializes in digital, engineering, cloud, and AI solutions for clients worldwide.
• Role Overview: Senior Development Engineer – Automation & AI Platforms to design and build enterprise automation systems that enable fully repeatable, policy‑driven workstation configuration and validation at scale. The role sits at the intersection of automation engineering, DevOps platform engineering, AI‑enabled development, and enterprise configuration management.
• Location: Hybrid – United States (Raritan, NJ 08869). Candidates must be able to work EST time zone.

Responsibilities

• Automation Platform Development (Lite‑Touch)

  • Architect and develop an enterprise automation framework enabling deterministic workstation configuration deployment.
  • Implement modular automation workflows supporting policy‑driven configuration management.
  • Ensure 100% repeatable configuration outcomes.
  • Enable input‑driven configuration provisioning using structured configuration inputs.
  • Integrate automation capabilities with enterprise request and service management platforms.
  • Implement logging, traceability, and auditability across automation workflows.
  • Manage configuration artifacts using version‑controlled configuration management practices.
  • Eliminate configuration drift and manual build inconsistencies through automated enforcement.

• Configuration Quality Verification Platform

  • Build automated verification workflows validating workstation configuration states.
  • Implement compliance validation aligned with enterprise quality standards.
  • Detect configuration drift and unauthorized configuration changes.
  • Verify alignment between requested and deployed configurations.
  • Generate automated reports and audit artifacts for regulatory compliance.
  • Enable engineering teams to perform automated quality assurance for workstation environments.

Required Qualifications

• Professional Experience

  • 10+ years of professional software engineering experience.
  • 5+ years designing automation platforms or infrastructure automation systems.
  • Proven experience building enterprise automation frameworks or internal developer tools.
  • Strong DevOps engineering background.

• Programming

  • Advanced PowerShell automation and scripting frameworks.
  • C# / .NET application and platform development.

• Source Control & Engineering Practices

  • Git‑based development workflows.
  • Branching strategies and pull request processes.
  • Code review and engineering quality practices.
  • Modern DevOps development methodologies.

• Artificial Intelligence Engineering Experience

  • Hands‑on experience integrating AI capabilities into development workflows (Semantic Kernel, Azure AI Foundry, comparable enterprise AI orchestration frameworks).
  • Experience with modern LLM ecosystems such as Anthropic Claude, Gemini, and Microsoft Copilot models.
  • AI Development Practices: prompt engineering, AI‑assisted development workflows, Codex‑driven development, AI agent orchestration.

Preferred Qualifications

• Distributed systems design
• Automation platform architecture
• Modular framework development
• Event‑driven systems
• CI/CD pipeline development
• Infrastructure‑as‑Code practices
• REST API development
• Identity and authentication frameworks
• Microsoft Azure and Kubernetes environments
• Containerized workloads
• Observability, monitoring, and telemetry systems
• Secure development lifecycle practices
• Secrets management and role‑based access control
• Experience in regulated industries such as MedTech, pharmaceuticals, or manufacturing

Benefits

• Medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance
• Employee assistance program
• 401(k) retirement plan
• 10 days of paid time off per year (some positions eligible for need‑based leave)
• 10 paid holidays per year
• Performance‑based bonuses (subject to company policies)

Compensation

• Pay Range: $175,000 – $185,000 annually.