Jobs at Aligned Automation

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.

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 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.

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.

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.

Serve as SME for enterprise hardware support: manage and escalate complex tickets, approve dispatches, mentor junior engineers, produce KB/SOPs, analyse trends, collaborate with field and engineering teams, and ensure SLA compliance across global shifts.

Lead and operate end-to-end IT: helpdesk, infrastructure, endpoint and identity security, patching, virtualization, backup/DR, Microsoft 365, cloud, vendor/licensing management, ISO 27001 compliance, and a multi-level IT team to deliver SLA-driven support and secure, reliable platforms.

Execute strategic sourcing for technical services and materials across EU sites. Perform TCO analysis, market and risk assessments, negotiate multi-site agreements, implement sourcing plans, measure supplier performance, support procurement transformation, and ensure ethical and financial compliance while collaborating with category managers and stakeholders.

Lead end-to-end delivery of AI/ML models, data pipelines, and full-stack cloud-native applications. Drive program strategy, roadmaps, architecture reviews, Agile execution, and cross-team collaboration to move models from prototype to production while reporting KPIs and ensuring reliability, security, and cost-efficiency.

Serve as SME for enterprise hardware break/fix support, manage ticket queues and dispatches, handle escalations, mentor junior engineers, produce documentation and KB articles, analyze recurring issues, collaborate with field/engineering/product teams, and report SLA and operational metrics while supporting 24×7 regional coverage.

Analyze and model customer data using classical ML and NLP techniques, select algorithms, perform data wrangling and visualization, deploy models on cloud/big-data platforms, and communicate technical findings to non-technical stakeholders.

Lead procurement digital transformation programs using analytics, automation, and strategic sourcing to drive cost savings, implement procurement platforms (e.g., SAP Ariba), develop dashboards, identify AI/RPA opportunities, manage stakeholders globally, and track program benefits including sustainability initiatives.

Lead the MES recipe development workstream: design and configure recipes, enforce standards, manage version control and migrations, support testing (FAT), ensure GxP/validation compliance, and mentor the development team.

Design, build, and deploy scalable ML pipelines and production models (MLOps). Integrate and manage LLMs, track model lifecycle with MLFlow, collaborate in agile teams, perform code reviews, and ensure robust ML infrastructure and monitoring.

Lead enterprise data strategy and architecture for scalable, secure, AI-ready lakehouse/data platforms. Define governance, quality, observability, metadata/lineage, and data security. Enable AI/ML and GenAI use cases, advise senior stakeholders, and mentor teams.

Design and drive end-to-end full-stack solutions across digital and manufacturing landscapes, ensuring compliance with GMP and security. Lead requirements, architecture, CI/CD, cloud integrations (AWS/Azure), and API development. Mentor teams, evaluate technologies, remediate technical debt, and guide agile delivery from design through deployment.

Design, build, and deploy production-grade AWS data services and ETL pipelines using PySpark and AWS Glue. Perform data modeling, data warehousing, and advanced SQL development; automate CI/CD and Lambda workflows; work with Redshift/RDS and large datasets to extract and transform data for analytics.