Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices.
Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes.
Beghou Consulting is building an AI-native operating model for life sciences consulting. We have a growing portfolio of AI initiatives — internal workflow transformation, client-facing products like Beghou Arc, governance frameworks, and go-to-market programs — led by a small, fast-moving team.
This role is the builder on the team. You take a mapped consulting workflow — one that has been documented with its steps, handoffs, tools, and pain points — and turn it into an AI-enabled, partially or fully automated version. Your work is measured in working software: agents that run, automations that save hours, tools that consultants actually adopt.
You will pair closely with other AI automation engineers and the Director, AI Innovation. You focus on the build.
Build AI-enabled versions of consulting workflows using tools like Claude Code, Codex, Cursor, VS Code, n8n, Python, and modern agent frameworks (RAG, MCP servers, orchestration layers)
Integrate with Beghou systems (SharePoint, GitHub, Azure, approved LLM endpoints) under the governance rules set by the AI team
You are an AI-native builder. You reach for agents, LLMs, and automation tools the way most engineers reach for libraries. You have built things on your own time because you find it interesting, not because it was an assignment.
You have real engineering fundamentals. You can read and write Python or TypeScript, understand APIs, version control, and basic deployment.
2–5 years of combined experience across software engineering and AI/automation tinkering. Strong candidates often have a full-stack engineering background (Python, JavaScript, or similar) plus hands-on personal or professional AI projects.
Demonstrable portfolio of AI projects — agents, RAG systems, automations, MCP servers, LLM-powered tools — whether professional or personal.
Familiarity with at least one LLM at the API level (Claude, GPT, Gemini) and at least one automation tool (n8n, Zapier, Make, or custom Python).
At Beghou Consulting, you'll join a highly collaborative, values-driven team where technical excellence, analytical rigor, and personal growth converge. Whether you're passionate about AI innovation, building commercialization strategies, or shaping the next generation of data-first solutions in life sciences, this is a place to make an impact!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
