Teams at Aligned Automation

Analyze business challenges and identify AI, automation, and digital transformation opportunities. Perform exploratory data analysis, build AI prototypes and automations, write and test Python, queries, prompts, and workflow logic, and collaborate with engineers, data scientists, and stakeholders. Translate requirements into solution plans, evaluate emerging AI technologies, and deliver practical AI applications, agents, copilots, and proof-of-concepts.

Lead enterprise AI and machine learning strategy, architecture, development, and production deployment. Design predictive analytics, generative AI, LLM, RAG, and agent solutions; establish MLOps, governance, monitoring, and responsible AI practices; align initiatives with business value and ROI; communicate with executives and stakeholders; prioritize and deliver AI programs; and mentor data scientists, ML engineers, and analysts.

Early-career consulting role supporting digital transformation and AI initiatives. Responsibilities include requirements gathering, business process analysis, documentation (BRDs/FRDs/user stories), coordinating Agile delivery, supporting testing and UAT, preparing basic analytics/dashboards, and working with stakeholders while learning enterprise technologies and consulting practices.