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- Tasks: Design and deploy cutting-edge AI platforms that make a real business impact.
- Company: Join Ascendion, a global leader in AI-first software engineering.
- Benefits: Remote work, exciting projects, and opportunities for career growth.
- Other info: Dynamic projects across various domains, including Finance and Generative AI.
- Why this job: Work with innovative AI technologies and shape the future of enterprise solutions.
- Qualifications: Strong experience in AI/ML architecture and coding skills, preferably in Python.
The predicted salary is between 60000 - 80000 ÂŁ per year.
Are you passionate about building production-grade AI systems that deliver real business impact? We’re looking for an experienced AI Consultant / Architect to lead the design and deployment of cutting-edge multi-agent AI platforms. This is a hands-on role where you’ll work at the intersection of LLMs, cloud architecture, and enterprise AI solutions, especially within high-impact domains like Finance.
What You’ll Do
- Architect and build multi-agent AI platforms using Cloud, OpenAI, and RAG frameworks
- Develop intelligent AI chatbots capable of processing diverse documents and delivering insights.
- Design end-to-end AI pipelines (data ingestion → retrieval → LLM orchestration → response generation)
- Implement secure AI systems with PII masking and vulnerability detection
- Lead production deployments, ensuring scalability, performance, and reliability
- Collaborate with business and tech stakeholders to deliver impactful AI solutions
What We’re Looking For
- Strong experience in AI/ML architecture and solution design
- Hands-on expertise with:
- Cloud AI (Cloud OpenAI, Cognitive Search)
- OpenAI / LLMs
- RAG frameworks
Nice to Have
- Experience in Finance domain
- Exposure to frameworks like LangChain, AutoGen, Semantic Kernel
- Experience with production-scale AI deployments
About Us:
Ascendion is a global, leading provider of AI-first software engineering services, delivering transformative solutions across North America, APAC, and Europe. We are headquartered in New Jersey. We combine technology and talent to deliver tech debt relief, improve engineering productivity solutions, and accelerate time to value, driving our clients’ digital journeys with efficiency and velocity. Guided by our “Engineering to the power of AI” [EngineeringAI] methodology, we integrate AI into software engineering, enterprise operations, and talent orchestration, to address critical challenges of trust, speed, and capital.
With Ascendion, you will get to work on numerous challenging and exciting projects on our various offerings including Salesforce, AI/Data Science, Generative AI/ML, Automation, Cloud Enterprise and Product/Platform Engineering. At Ascendion you have high chances of project extension or redeployment to other clients. Additionally, you can also share CV of anyone you know. We have a referral policy in place.
Artificial Intelligence Consultant in Bedford employer: Ascendion
Contact Detail:
Ascendion Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Consultant in Bedford
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving multi-agent systems or LLM orchestration. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your coding skills and understanding of AI architectures. Be ready to discuss your experience with Cloud AI and how you've tackled real-world problems in previous roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Artificial Intelligence Consultant in Bedford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the AI Consultant role. Highlight your hands-on expertise with Cloud AI, OpenAI, and any relevant frameworks to show us you’re the perfect fit!
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 experience aligns with our mission at StudySmarter. Don’t forget to mention specific projects or achievements that demonstrate your capabilities.
Showcase Your Technical Skills: We want to see your coding prowess! Include examples of your work with Python, multi-agent systems, and any AI deployments you've led. This will help us understand your technical depth and how you can contribute to our team.
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 shows us you’re keen on joining the StudySmarter family!
How to prepare for a job interview at Ascendion
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI/ML architecture and solution design. Be ready to discuss your hands-on experience with Cloud OpenAI, LLMs, and RAG frameworks. They’ll want to see that you can not only talk the talk but also walk the walk when it comes to building multi-agent systems.
✨Showcase Your Coding Skills
Since strong coding skills are a must, especially in Python, be prepared to demonstrate your abilities. You might be asked to solve a problem on the spot or discuss your previous projects. Bring examples of your work that highlight your coding prowess and how it relates to AI solutions.
✨Understand the Business Impact
This role is all about delivering real business impact through AI. Be ready to discuss how your past projects have contributed to business goals, particularly in high-impact domains like Finance. Show them you understand the intersection of technology and business needs.
✨Prepare for Collaboration Questions
Collaboration is key in this role, so expect questions about how you’ve worked with both technical and business stakeholders in the past. Think of specific examples where your collaboration led to successful AI deployments, and be ready to share those stories.