At a Glance
- Tasks: Lead the design and development of AI-driven solutions that enhance decision-making.
- Company: Proclinical, a leading life sciences recruiter with a focus on innovation.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Join a dynamic team with excellent career advancement opportunities.
- Why this job: Create impactful AI agents and assistants that transform workflows in organisations.
- Qualifications: Proficiency in Python, experience with LLM APIs, and strong communication skills.
Passionate about creating AI agents and assistants that drive smarter decision-making across organisations? Proclinical is seeking a Senior AI Solutions Engineer to lead the design and development of AI-driven solutions that enhance operational workflows and decision-making processes. This role focuses on creating production-grade AI agents, assistants, and dashboards that empower teams to transition from manual processes to AI-enabled systems. You will collaborate with cross-functional teams, including IT, architecture, data governance, and compliance, to ensure secure, traceable, and compliant solutions.
Responsibilities:
- Design and implement AI solution architectures, including agents, assistants, interfaces, and automations.
- Develop AI agents and assistants using large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent workflows.
- Build natural-language interfaces and dashboards for portfolio, resourcing, and performance data analysis.
- Establish and maintain a shared library of reusable AI components for cross-team use.
- Collaborate with Quality & Compliance teams to ensure regulated AI use cases meet validation and audit requirements.
- Define test sets, monitor production quality, and maintain documentation and operational runbooks.
- Set coding standards, review practices, and mentor engineers while supporting business teams in adopting AI solutions.
- Translate business needs into technical scopes and partner with IT, architecture, and security teams to ensure platform access and data privacy.
Key Skills and Requirements:
- Proficiency in production-quality Python (e.g., FastAPI, Pydantic, asyncio, pandas, pytest).
- Experience with R and R Shiny for building and deploying applications.
- Hands-on expertise with LLM APIs (e.g., OpenAI, Anthropic Claude) and agent frameworks (e.g., LangGraph, CrewAI).
- Advanced SQL skills and familiarity with Snowflake and REST API integrations.
- Knowledge of engineering practices such as Git, CI/CD, Docker, AWS, and observability tools.
- Understanding of GxP compliance, computer system validation, and data privacy in regulated industries.
- Strong communication skills to translate technical concepts for non-technical stakeholders.
- Ability to prioritize tasks, manage risks, and lead technical project execution.
- Advanced degree (Master's or PhD) in Computer Science, AI, or related fields.
- Experience with in-platform AI services in cloud data warehouses.
- Familiarity with end-to-end security for AI workflows, including permissions and prompt injection protection.
- Background in classical machine learning techniques (e.g., scikit-learn for trend analysis and forecasting).
- Experience in pharmaceutical R&D or other highly regulated industries.
- A portfolio or GitHub profile showcasing relevant work is a plus.
If you are having difficulty in applying or if you have any questions, please contact Dean Fisher at (url removed). If you are interested in applying to this exciting opportunity, then please click 'Apply' or to speak to one of our specialists please request a call back at the top of this page.
Proclinical is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. Proclinical is acting as an Employment Agency in relation to this vacancy. By submitting this application, you confirm that you've read and understood our privacy policy, which informs you how we process and safeguard your data.
Senior AI Solutions Engineer in Welwyn employer: ProClinical
Join a globally recognised biopharmaceutical organisation that prioritises innovation and collaboration in the field of protein science and biologic drug development. With a strong commitment to employee growth, you will have access to continuous learning opportunities and be part of a supportive team dedicated to delivering life-changing therapies. Located in a vibrant area, this role not only offers meaningful work but also a dynamic work culture that values your contributions and fosters professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Solutions Engineer in Welwyn
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at ProClinical or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to ProClinical.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like ProClinical.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like ProClinical that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior AI Solutions Engineer in Welwyn
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at ProClinical.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at ProClinical and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at ProClinical
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If ProClinical uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
