Senior Technical Specialist

ITech Consult AG; Basel; Vor Ort; CHF 140.000 - 190.000; Vollzeit

Zusammenfassung

ITech Consult AG in Basel is seeking a Senior Technical Specialist to lead AI-driven product development and data sciences in a regulated pharma context.

You will design autonomous agents, orchestrate multi-agent systems, and ensure GxP compliance while accelerating clinical data processing and decision making.

Qualifikationen

• 5+ years' experience in Computer Science, ML, or Engineering with 8+ years delivering AI/ML solutions.
• 3+ years in full-stack software and data engineering.
• Fluency in English and strong communication with global stakeholders.

Aufgaben

• Design and deploy agentic AI workflows with LangGraph, CrewAI, or AutoGen for clinical data tasks.
• Build collaboration agents (Planner/Validator/Protocol Reviewer) with CI/CD pipelines.
• Apply prompting strategies to ensure high-fidelity outputs in regulated contexts.
• Deploy AI agents in AWS and develop scalable data pipelines for scientific data.
• Ensure traceability, reproducibility, and regulatory compliance of agentic decisions.

Kenntnisse

Python

LangGraph

CrewAI

AutoGen

LlamaIndex

Full-stack

AWS

Docker

Kubernetes

SQL/NoSQL

APIs

Ausbildung

Bachelor's or higher in Computer Science / Machine Learning / Engineering / Biomedical Informatics

Tools

AWS

Docker

Kubernetes

CI/CD

Git

APIs

LangGraph

CrewAI

AutoGen

LlamaIndex

Jobbeschreibung

Senior Technical Specialist: - Product Development / Machine Learning / Biomedical Informatics / LLM / Gxp / LangGraph / CrewAI / AutoGen / SQL/NoSQL / APIs / AWS, containerization / Docker / Kubernetes / CI/CD pipelines / Git / English

We advance science so that we all have more time with the people we love. Positioned within our Data Management team, a core function of Product Development Data Sciences (PDD), you will help us lead the industry in speed, quality, and efficiency. By joining us, you step into an innovative environment where we build cutting‑edge tools, automation, and next‑generation technologies that streamline clinical trial data collection and delivery, accelerating the release of life‑saving medicines to patients worldwide.As a Senior Technical Specialist with a focus on Agentic AI, you will design and deploy autonomous AI agents and multi‑agent systems to transform how clinical trial data is processed. You will bridge the gap between state‑of‑the‑art LLM orchestration and strict pharmaceutical regulatory standards, building systems that automate clinical data cleaning, validation, and analysis. This is your chance to shape a modern, scalable ecosystem where your engineering solutions directly drive GxP‑compliant, high‑impact clinical decisions.The Perfect Candidate is a strategic, forward‑thinking engineer who thrives at the intersection of full‑stack engineering, advanced AI orchestration, and real‑world scientific impact. They enjoy solving intricate technical challenges, value model reproducibility, and bring clear, collaborative communication to a global team.

Tasks & Responsibilities:

• Design and deploy sophisticated agentic workflows using frameworks such as LangGraph, CrewAI, or AutoGen to automate complex clinical data management tasks.


• Build collaboration systems where specialised agents (e.g., Planner, Validator, and Protocol Reviewer) resolve end‑to‑end data challenges through high‑quality, testable code and CI/CD pipelines.


• Apply systematic prompt engineering techniques (including Chain‑of‑Thought, ReAct, and Reflection) to guarantee high‑fidelity outputs in a clinical context.


• Deploy AI agents into our cloud environment (AWS) while building and enhancing scalable applications that capture, move, and prepare scientific data.


• Partner with Data Integrity and Quality teams to ensure all agentic decisions are traceable, reproducible, and fully compliant with regulatory standards.


• Create reliable "Human-in-the-loop" (HITL) workflows and tool‑calling agents to solve complex, highly regulated data challenges.

Must Haves:

• 5+ years' experience and a Bachelor's or advanced degree in Computer Science, Machine Learning, Engineering, or Biomedical Informatics, alongside 8+ years of experience delivering AI/ML solutions plus 3+ years in full‑stack software and data engineering


• Deep proficiency in Python and hands‑on experience with AI orchestration frameworks like LangGraph, CrewAI, AutoGen, or LlamaIndex


• Solid experience with modern data engineering (SQL/NoSQL, APIs), Vector Databases (e.g., Chroma, Pinecone), and optimizing RAG pipelines


• Strong experience deploying AI systems on AWS, containerization (Docker, Kubernetes), CI/CD pipelines, Git, and service observability (logging, tracing, metrics)


• A strong understanding of model reproducibility, interpretability, and validation best practices within highly regulated environments


• Excellent problem‑solving capabilities with the ability to explain complex technical concepts clearly to diverse global stakeholders


• Fluency in English

Nice to Haves:

• Master's or PhD in Computer Science, AI, or a related quantitative field


• Experience in a highly regulated industry such as Healthcare, FinTech, or Aerospace


• Understanding / Showcasing practical, end‑to‑end implementation of security frameworks in complex agentic workflows


• Understanding of clinical trial life cycles and data standards


• Familiarity with monitoring tools for system performance, workflow analytics, and MLOps/DevOps best practices


• Contributions to open‑source agentic frameworks or internal AI tooling in the automation or productivity space


• Experience to architect scalable solutions in complex environments with multiple existing system integrations


• Experience with other programming languages (e.g., C#, Java, JavaScript, R, RShiny) is considered an advantage


• Sharing your GitHub account, showcasing relevant work, is considered an advantage

Reference Nr.: 925262
Rolle: Senior Technical Specialist
Industrie: Pharma
Location: Basel
Pensum: 100%
Start:ASAP( 04.01.2027)
Duration: 12++ months
Deadline: 08/09/2026