Senior Development Engineer – Automation & AI Platforms

About

HCLTech is a global technology leader with over 226,000 professionals in more than 60 countries, delivering digital, engineering, cloud, and AI solutions. The role is a Senior Development Engineer – Automation & AI Platforms focused on designing and building enterprise automation systems for deterministic, policy‑driven workstation configuration and validation at scale. The position is hybrid (United States, EST time zone) and will work on two strategic platforms supporting regulated MedTech and Life Sciences operations.

Key Responsibilities

Automation Platform Development (Lite‑Touch)

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

Configuration Quality Verification Platform

• Build automated verification workflows that validate workstation configuration states.
• Implement compliance validation aligned with enterprise quality standards.
• Detect configuration drift and unauthorized 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 (e.g., Semantic Kernel, Azure AI Foundry, LLMs).
• Experience with modern LLM ecosystems such as Anthropic Claude, Gemini, Microsoft Copilot.
• AI development practices: prompt engineering, AI‑assisted development workflows, Codex‑driven development, AI agent orchestration.

Preferred Qualifications

• Distributed systems design and automation platform architecture.
• Modular framework development and event‑driven systems.
• CI/CD pipeline development and Infrastructure‑as‑Code practices.
• REST API development, identity and authentication frameworks.
• Experience with Microsoft Azure, Kubernetes, containerized workloads.
• Observability, monitoring, and telemetry systems.
• Secure development lifecycle practices, secrets management, role‑based access control.
• Experience in regulated industries (MedTech, pharmaceuticals, manufacturing).

Benefits & Compensation

• Pay Range: $175,000 – $185,000 annually (depends on location, skills, experience, education, and other lawful factors).
• Performance‑based bonuses (subject to company policies).
• Medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance.
• Employee assistance program.
• 401(k) retirement plan.
• 10 days paid time off per year (some positions eligible for need‑based leave).
• 10 paid holidays per year.

Location

Hybrid remote in Raritan, NJ 08869 (must be able to work EST time zone).