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- Tasks: Design and develop AI-powered systems for innovative communication solutions.
- Company: Syneos Health, a leader in health communications with a focus on innovation.
- Benefits: Flexible freelance role with opportunities to work on exciting AI projects.
- Why this job: Join a dynamic team and make a real impact in the AI space.
- Qualifications: Experience in Python, AI systems, and strong coding skills required.
- Other info: Collaborative environment with potential for career growth in tech.
The predicted salary is between 43200 - 72000 £ per year.
We are seeking a hands-on AI Solutions Engineer (Freelance) to support the development and deployment of internal AI-powered systems used by Syneos Health Communications teams. This role is focused on designing, developing, and deploying AI-enabled solutions that support daily work across PR, advertising, medical communications, and related business units. The freelancer will work with the Innovation Team to translate business unit requirements into working, production-ready AI systems, adapting existing code where available and originating new code where required. A key responsibility will be progressing these builds through to secure hosting on Azure.
Key Responsibilities
- Design and develop AI-powered internal systems based on business unit requirements
- Adapt and extend existing internal codebases where available
- Originate new Python-based solutions where no existing code exists
- Experience with RAG pipelines and context engineering
- Write modular, maintainable code across projects in Python and other relevant languages; confident with Git and contributing to documentation
- Structure inputs, outputs, and schemas to ensure tools are usable and scalable
- Support integration of AI components (e.g. LLM APIs) into workflows
- Ensure builds are robust, documented, and suitable for handover
AI Solutions Engineer employer: Syneos Health, Inc.
Contact Detail:
Syneos Health, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solutions Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Python and Azure. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI solutions and coding. Practice explaining your thought process while solving problems, as this is often just as important as getting the right answer.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job postings and make sure your application stands out by tailoring it to the role.
We think you need these skills to ace AI Solutions Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Solutions Engineer role. Highlight your experience with Python, RAG pipelines, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've got any projects that demonstrate your coding skills or experience with AI systems, make sure to include them. We want to see what you've built and how you approach problem-solving. Links to GitHub or similar platforms are a bonus!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about us and what we do!
How to prepare for a job interview at Syneos Health, Inc.
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, especially those related to PR and advertising. Be ready to discuss your experience with Python and any relevant projects you've worked on, particularly those involving RAG pipelines and context engineering.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in previous roles. Think about times when you adapted existing code or created new solutions from scratch. This will demonstrate your hands-on experience and ability to think critically.
✨Familiarise Yourself with Azure
Since a key part of the role involves secure hosting on Azure, it’s essential to understand its functionalities. Brush up on deployment processes and be ready to discuss how you would ensure builds are robust and well-documented for handover.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the Innovation Team's current projects and how they envision the future of AI solutions at Syneos Health. This shows your genuine interest and helps you gauge if the role is the right fit for you.