Jobs at Aligned Automation

Lead enterprise AI-native transformation by designing and deploying multi-agent systems, agent orchestration, and RAG-based workflows. Work with executives to translate strategy into production-grade prototypes, scalable accelerators, and human-in-the-loop governance to improve portfolio management, delivery orchestration, and operational intelligence.

Own and operate end-to-end DevOps infrastructure across cloud and on-prem environments. Design and manage CI/CD pipelines, containerized workloads, Kubernetes orchestration, IaC automation, monitoring/observability, security tooling, and collaborate with engineering teams to ensure reliable, scalable, and secure deployments.

Provide first-line technical support for enterprise servers, storage, and client systems: process tickets, coordinate dispatches and parts, troubleshoot hardware, document cases, escalate complex issues, and support 24×7 operations across regions.

Lead end-to-end cross-functional projects and programs, synthesize data into insights, and produce executive-quality PowerPoint presentations. Validate datasets, manage stakeholders, track action items, and maintain documentation and dashboards. Use AI prompt-engineering tools to accelerate research and improve deliverables while driving alignment and securing leadership sign-off.

Entry-level role for graduates to build and support data pipelines, ETL, data cleansing, transformation, validation, and modeling. Develop reports, dashboards and visualizations, collaborate with teams to meet business requirements, participate in AI/ML initiatives, document processes, and contribute to automation and continuous improvement using cloud and modern data tools.

Own product vision, roadmap, and delivery of Microsoft Power Platform solutions. Lead discovery, translate needs into user stories, manage backlog, enforce governance, drive adoption, and collaborate with stakeholders and delivery teams to deliver scalable low-code automation and analytics.

Provide functional and technical support for SAP Concur (Expense, Travel, Invoice). Troubleshoot user issues, manage configurations, handle user setup and role assignments, monitor ERP integrations, coordinate escalations with vendor, maintain documentation, deliver user training, support system upgrades and testing, and report on KPIs and error trends.

Lead end-to-end AI/ML-driven transformation projects: gather and translate requirements, design experiments, analyze results, partner with data science and engineering to operationalize models, drive agile project delivery, stakeholder alignment, and mentor teams to ensure measurable business impact.

Lead programme governance, delivery excellence, and AI-augmented PMO operations across enterprise clients. Coordinate between technical teams and executives, manage planning, reporting, documentation, incident/problem analysis, risk and change management, and continuous improvement while maintaining high quality and stakeholder communication.

Lead end-to-end delivery of enterprise transformation programs across process mining (Celonis), data & analytics, and AI/ML. Establish governance, manage cross-functional workstreams, track risks and dependencies, drive stakeholder and executive alignment, manage vendors/resources, and measure value realization through KPIs and adoption.

Serve as a techno-functional business analyst: gather and translate requirements, design functional specifications, support integrations and data flows (APIs, databases, cloud), collaborate with architects and developers, support UAT and deployment, and drive process improvements and change management for digital transformation initiatives.

Lead CSV strategy and validation for GxP-regulated computerized systems in pharmaceutical manufacturing. Oversee validation test plans, QA testing, defect resolution, traceability, and documentation to ensure audit readiness. Maintain compliance with 21 CFR Part 11, EU Annex 11, GAMP 5 and data integrity principles. Mentor CSV/QA teams, own SOPs, support audits/CAPAs, and collaborate with IT, Quality, Manufacturing and stakeholders throughout the SDLC and post-implementation.

Senior technical role owning Tier 1/2 support and operational integrity for the Atom5 eCOA platform. Lead end-to-end Salesforce Service Cloud implementation, redesign support processes, automate user lifecycle, govern JIRA workflows, manage change requests and releases, ensure GxP/regulatory compliance (GCP, 21 CFR Part 11), and drive continuous improvement, training, and knowledge management across global clinical trial deployments.

Lead end-to-end AI/ML-driven transformation projects: translate business requirements, design experiments, analyze results, operationalize models with data science and engineering teams, drive agile delivery, stakeholder alignment, and mentor teams to deliver measurable business impact.

Configure and develop MES recipes, workflows, and batch execution logic; implement electronic batch records (EBR); translate functional requirements into configuration; perform unit, integration, and FAT testing; maintain version control and configuration migrations; resolve defects and ensure GxP validation compliance.

Provide onsite IT infrastructure support for pharmaceutical manufacturing: implement and validate workstations, peripherals, networking and telecom; perform cybersecurity assessments; train users; troubleshoot Citrix, VDI, Linux/Mac/Windows, iGel and related hardware; ensure GxP/GMP compliance and drive service improvements.

Manage daily administrative and facility operations including AMC coordination, basic electrical and maintenance tasks, supervising housekeeping/security/vendors, maintaining asset records, ensuring office utilities function, supporting audits/compliance, and being available for rotational/night shifts and site travel as needed.

Provide 24×7 rotational technical support by processing tickets, coordinating dispatches and replacement parts, troubleshooting enterprise hardware and client systems, documenting cases, communicating with customers, escalating complex issues, and participating in training to meet SLAs across global regions.

Design, build, and maintain large-scale PySpark/Spark data pipelines and ETL/ELT workflows. Optimize SQL queries, ensure data quality and governance, collaborate with architects, data scientists, and analysts, monitor production workflows, conduct code and architecture reviews, and mentor junior engineers.

Design, develop, and deploy LLM-powered applications and agentic systems. Build and optimize prompts, implement RAG pipelines with vector DBs, and productionize models using containerization, orchestration, cloud platforms, and CI/CD practices.