AI Automation Engineer

Auto req ID BR SR Number DBS/DBS/2026/ Designation Associate Location New Jersey City Somerset County No. of Positions 1 Job Description (Posting). Senior Technical Lead Job Summary To be responsible for managing technology in complex projects ,providing technical guidance and ensuring succesful delivery of solutions. (1.) Key Responsibilities 1. To be responsible for providing technical guidance to a team of developers, enhancing their technical capabilities and increasing productivity. 2. To conduct comprehensive code reviews, establish and oversee quality assurance processes, performance optimization , implementation of best practices and coding standards to ensure succeful delivery of complex projects. 3. To ensure process compliance in the assigned module and participate in technical discussions/review as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations). 4. To collaborate with stakeholders to define project scope, objectives, deliverables and accordingly prepare and submit status reports for minimizing exposure & closure of escalations. Experience 7.5-12 Years Qualification Bachelor of Technology/ Engineering Skill (Primary) Microsoft Dynamics (APPS)-MsD-General-Technical-PowerShell Buy Rate Vendor $60/hr Other Requirement Position Details SR Number DBS/DBS/2026/ Billing Start date Asap Project Duration 6+ Months Client Interview Needed for Selection (Yes / No) Yes Job Location/Client Location (with City & State) Raritan, NJ Remote ok (Yes / No) No Mode (TP/FTE) TP Buy Rate $70/hr No of openings/positions 1 Job Title/Role Senior Development Engineer - Automation & AI Platforms Mandatory Skills Powershell JD Key Responsibilities Automation Platform Development (Lite-Touch) Design and build a Lite-Touch Automation Platform that enables scalable workstation provisioning and configuration management. Responsibilities include: 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 Design and develop a Configuration Quality Verification Platform that validates workstation configurations against requested standards and enterprise quality policies. Responsibilities include: 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 working with: Semantic Kernel Azure AI Foundry Comparable enterprise AI orchestration frameworks Experience working with modern LLM ecosystems such as: Anthropic Claude models Gemini models 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.