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- Tasks: Lead the development of next-gen AI solutions for industrial asset management.
- Company: Join Ultimo, a forward-thinking tech company shaping the future of AI.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact in AI while collaborating with diverse teams on innovative projects.
- Qualifications: 5+ years in ML or software engineering with hands-on AI project experience.
- Other info: Dynamic environment with a focus on cutting-edge technology and career advancement.
The predicted salary is between 36000 - 60000 ÂŁ per year.
We are looking for a Senior / AI Technical Lead to shape the future of AI at IFS Ultimo. You’ll play a central role in building our next‑generation agentic AI framework, enabling autonomous, intelligent operations in industrial asset management. From onboarding assets to optimizing maintenance and stock, our platform will empower AI agents to support technicians with real‑time, context‑aware intelligence. This is a hands‑on and strategic position, ideal for someone who combines a strong software or ML engineering foundation with a passion for agent‑based systems, scalable infrastructure, and applied AI.
Key Responsibilities
- AI Architecture & Strategy: Define the technical direction of our AI platform with a focus on scalable deployment, vector databases, semantic tech, and system integration.
- AI Solution Ownership: Lead the design and development of AI solutions from proof‑of‑concept to production using industry best practices.
- Cross‑functional Collaboration: Work closely with software engineers, data scientists, and business teams to embed AI into Ultimo’s SaaS platform.
- AI Leadership & Advocacy: Promote cutting‑edge AI internally and externally, support university partnerships, write thought leadership, and attract top AI talent.
Who You Are
You’re a hands‑on technical leader with a strong understanding of AI/ML platforms, agent orchestration, and scalable deployment. You have experience leading projects from experimentation to production, ideally in a SaaS or industrial tech environment. You thrive in fast‑moving teams, are comfortable with ambiguity and enjoy working across disciplines. You’re passionate about solving real‑world problems through applied AI, and building solutions that scale.
Job Requirements
- 5+ years of experience in ML or software engineering, with completed AI/ML projects in production.
- Experience with agentic frameworks (e.g. Microsoft Semantic Kernel, AutoGen, CrewAI) and building AI orchestration logic.
- Strong background in AI system design, MLOps, DevOps, and model lifecycle management.
- Solid programming experience in Python; C# is a plus.
- Strong communication skills and the ability to work with technical and non‑technical teams.
- Familiarity with Agile/Scrum and working in multidisciplinary teams.
- Able to make sound technical architecture decisions under pressure.
What Will Make You Shine
- A track record of leading successful AI products or systems in production.
- Experience influencing cross‑functional teams and communicating complex AI concepts clearly.
- Strategic thinking, collaborative mindset, and curiosity about what’s next in agentic AI.
AI Tech Lead employer: Ultimo
Contact Detail:
Ultimo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Tech Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space. Attend meetups, webinars, or conferences where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those that highlight your experience with agentic frameworks and scalable solutions. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your past projects and how you've led teams through challenges. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at Ultimo. Tailor your application to highlight your passion for applied AI and how you can contribute to our mission.
We think you need these skills to ace AI Tech Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the AI Tech Lead role. Highlight your experience in AI/ML projects, especially those involving agentic frameworks and scalable deployment.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about applied AI and how your background makes you a perfect fit for our team. Share specific examples of your leadership in AI projects and your collaborative spirit.
Showcase Your Technical Skills: Don’t shy away from detailing your programming expertise, especially in Python and any experience with C#. Mention your familiarity with MLOps and DevOps practices to demonstrate your hands-on capabilities.
Apply Through Our Website: We encourage you to apply directly 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 your enthusiasm for joining our team!
How to prepare for a job interview at Ultimo
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI/ML platforms and agent orchestration. Be ready to discuss specific projects you've worked on, especially those that involved scalable deployment and real-world applications. This will show that you’re not just a theorist but someone who can get their hands dirty.
✨Showcase Your Leadership Skills
Since this role involves leading AI solutions from concept to production, be prepared to share examples of how you've successfully led teams in the past. Highlight your experience in cross-functional collaboration and how you’ve influenced others to embrace AI technologies.
✨Communicate Clearly
You’ll need to work with both technical and non-technical teams, so practice explaining complex AI concepts in simple terms. Think about how you can convey your ideas effectively, as strong communication skills are key for this position.
✨Be Ready for Technical Challenges
Expect some technical questions or scenarios during the interview. Prepare to discuss your approach to making architecture decisions under pressure and how you handle ambiguity in fast-paced environments. This will demonstrate your problem-solving skills and adaptability.
