About the role
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.
What you will do
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)
Prototype quickly — ship a first working version in days, then iterate tightly with the consulting team that will use it
Instrument automations so we can measure usage and quantified time saved
Own the technical end of 1–2 delivery accelerators each year, from first build through internal deployment
Integrate with Beghou systems (SharePoint, GitHub, Azure, approved LLM endpoints) under the governance rules set by the AI team
Document what you build — architecture, prompts, known limitations — so others can extend it
Support end users during early rollout (bug triage, usability fixes, minor feature additions)
What makes someone great at this
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 ship. You go from idea to working prototype in days, not weeks. Your first version is rough and honest; your second version is useful.
You are comfortable with ambiguous problem statements. You talk to the person who will use the tool, understand what they actually need, and make build choices without waiting for a spec.
You have real engineering fundamentals. You can read and write Python or TypeScript, understand APIs, version control, and basic deployment.
You are a fast learner on the business side. You do not need to be a pharma consultant, but you want to understand the workflow you are automating so you can make good design trade-offs.
Background that fits well
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).
MBA or equivalent business training is a plus but not required — build experience is valued over credentials.
Experience with vector databases, retrieval systems, or agent frameworks
Prior exposure to consulting or analytics work environments
Contributions to open-source AI tooling, or a public project portfolio
Nice to have
Skills Required
- 2-5 years combined experience across software engineering and AI/automation tinkering
- Demonstrable portfolio of AI projects (agents, RAG systems, automations, MCP servers, LLM-powered tools)
- Familiarity with at least one LLM at the API level (Claude, GPT, Gemini)
- Familiarity with at least one automation tool (n8n, Zapier, Make, or custom Python automation)
- Ability to read and write Python or TypeScript, understand APIs, version control, and basic deployment
- Ability to prototype quickly and iterate with end users; comfortable with ambiguous problem statements
- Integrate with corporate systems (SharePoint, GitHub, Azure) and approved LLM endpoints under governance rules
- MBA or equivalent business training
- Experience with vector databases, retrieval systems, or agent frameworks
- Prior exposure to consulting or analytics work environments
- Contributions to open-source AI tooling or a public project portfolio
What We Do
Beghou Consulting provides sales force and marketing consulting services to clients in the pharmaceutical and health care industries. We bring significant expertise in addressing sales and marketing issues and in developing advanced analytic approaches to support our clients' decision-making. We pride ourselves on our growing list of long-term clients, for whom we deliver an increasing array of services and analyses. Our clients are developing and launching innovative, high-profile products, and as such require a partner that provides similarly innovative insights and processes to support their sales force and marketing management.
