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- Tasks: Lead a team to deliver innovative AI and automation projects.
- Company: Join a global organisation at the forefront of AI innovation.
- Benefits: Competitive salary, generous benefits, and flexible hybrid working.
- Other info: Opportunity for career growth in a dynamic, fast-paced environment.
- Why this job: Shape the future of AI while mentoring a talented team.
- Qualifications: Experience in engineering management and strong technical skills in cloud technologies.
The predicted salary is between 90000 - 100000 £ per year.
This is a fantastic opportunity for an experienced Development Manager to lead a growing team of engineers delivering cutting-edge AI and automation initiatives. You'll oversee the full development lifecycle from strategy and architecture through to deployment and optimisation, ensuring high technical standards, agile delivery, and measurable business impact. The ideal candidate will combine strong leadership with hands-on technical knowledge, particularly in modern cloud-native engineering and AI/ML integration. You'll work closely with senior stakeholders to define priorities, empower teams, and drive scalable solutions that push the boundaries of what's possible.
Key Responsibilities:
- Lead, mentor, and develop a team of Software Engineers and AI Specialists.
- Define and deliver an AI development roadmap aligned with business strategy.
- Ensure best practices in coding, architecture, testing, and DevOps.
- Oversee end-to-end delivery across multiple agile squads.
- Collaborate with Product, Data, and Infrastructure teams to integrate AI-driven features and systems.
- Foster a culture of continuous learning, technical excellence, and innovation.
- Track performance metrics, ensuring delivery efficiency and product quality.
Essential Skills & Experience:
- Proven experience in engineering or development management, ideally within data or AI-focused environments.
- Strong technical background in modern cloud technologies (AWS, Azure, or GCP).
- Understanding of AI/ML frameworks, data pipelines, and modern application architectures.
- Experience leading cross-functional agile teams in a fast-paced environment.
- Excellent stakeholder management, communication, and mentoring skills.
Desirable Skills:
- Exposure to AI model lifecycle management, MLOps, or data engineering.
- Experience in scaling engineering teams and delivering enterprise-level digital solutions.
- Background in financial services, SaaS, or large-scale digital transformation projects.
What's on Offer:
- Competitive salary up to £100k
- Generous benefits package
- Flexible Hybrid working with occasional office days
- Opportunity to shape a new wave of AI innovation within a global organisation.
AI Software Engineering Manager - Exclusive TLNT1_NI in Belfast employer: Ocho
Contact Detail:
Ocho Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Software Engineering Manager - Exclusive TLNT1_NI in Belfast
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and software engineering space. Attend meetups, webinars, or even local tech events. 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 projects, especially those related to AI and cloud technologies. This will give potential employers a taste of what you can bring to the table beyond just your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership skills. Be ready to discuss how you've led teams and delivered successful projects in the past. Practice common interview questions and scenarios that relate to AI and software development.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your experience in AI and cloud-native engineering, and let us know how you can contribute to our innovative projects.
We think you need these skills to ace AI Software Engineering Manager - Exclusive TLNT1_NI in Belfast
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the AI Software Engineering Manager role. Highlight your leadership experience, technical expertise in cloud technologies, and any relevant AI/ML projects you've worked on.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this position. Share specific examples of how you've led teams, delivered successful projects, and driven innovation in previous roles. Make it personal and engaging!
Showcase Your Technical Skills: Don’t shy away from detailing your technical background. Mention your experience with modern cloud technologies like AWS, Azure, or GCP, and any familiarity with AI/ML frameworks. We want to see your hands-on knowledge shine through!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at Ocho
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI/ML frameworks and cloud technologies like AWS, Azure, or GCP. Be ready to discuss how you've applied these in past projects, as this will show your hands-on technical expertise.
✨Showcase Your Leadership Skills
Prepare examples of how you've led and mentored teams in the past. Highlight specific instances where you empowered your team to achieve goals or overcome challenges, as this role requires strong leadership capabilities.
✨Understand the Business Impact
Be ready to talk about how your technical decisions have driven measurable business outcomes. Think about times when your work has directly contributed to efficiency or product quality, as this aligns with their focus on delivering value.
✨Engage with Stakeholders
Since you'll be collaborating with various teams, practice discussing how you've managed stakeholder relationships in previous roles. Show that you can communicate effectively and align technical strategies with business priorities.