At a Glance
- Tasks: Lead engineering teams, mentor members, and ensure high-quality software delivery.
- Company: Join TEKsystems, part of the Allegis Group, a global leader in tech solutions.
- Benefits: Enjoy competitive salary, career growth opportunities, and a collaborative work culture.
- Why this job: Be at the forefront of innovation, driving impactful projects in a dynamic environment.
- Qualifications: Experience in engineering management and strong technical background required.
- Other info: Based in Manchester, offering a permanent position with a salary range of £100,000 - £115,000.
The predicted salary is between 80000 - 120000 £ per year.
Description
Engineering Manager
Purpose of the role
To lead and manage engineering teams, providing technical guidance, mentorship, and support to ensure the delivery of high-quality software solutions, driving technical excellence, fostering a culture of innovation, and collaborating with cross-functional teams to align technical decisions with business objectives.
Accountabilities
- Lead engineering teams effectively, fostering a collaborative and high-performance culture to achieve project goals and meet organizational objectives.
- Oversee timelines, team allocation, risk management and task prioritization to ensure the successful delivery of solutions within scope, time, and budget.
- Mentor and support team members\’ professional growth, conduct performance reviews, provide actionable feedback, and identify opportunities for improvement.
- Evaluation and enhancement of engineering processes, tools, and methodologies to increase efficiency, streamline workflows, and optimize team productivity.
- Collaboration with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions and ensure a cohesive approach to product development
- Enforcement of technology standards, facilitate peer reviews, and implement robust testing practices to ensure the delivery of high-quality solutions.
Vice President Expectations
- Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
- Manage and mitigate risks through assessment, in support of the control and governance agenda.
- Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
- Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
- Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
- Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
- Adopt and include the outcomes of extensive research in problem solving processes.
- Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.
Job Title: AI Engineering Manager
Location: Manchester, UK
Rate/Salary: 100000.00 – 115000.00 GBP Yearly
Job Type: Permanent
Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. 2876353. Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as \”Allegis Group\”). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at
To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to
We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the \”Contacting Us\” section of our Online Privacy Notice at for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
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AI Engineering Manager employer: Talentify
Contact Detail:
Talentify Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineering Manager
✨Tip Number 1
Familiarise yourself with the latest trends in AI and engineering management. Being well-versed in current technologies and methodologies will not only boost your confidence but also demonstrate your commitment to staying ahead in the field.
✨Tip Number 2
Network with professionals in the AI and engineering sectors. Attend industry events, webinars, or local meetups to connect with potential colleagues and mentors who can provide insights into the role and company culture.
✨Tip Number 3
Prepare to discuss your leadership style and experiences in managing teams. Be ready to share specific examples of how you've fostered collaboration and innovation in previous roles, as this is crucial for the AI Engineering Manager position.
✨Tip Number 4
Research StudySmarter's projects and values. Understanding our mission and how we align technology with business objectives will help you articulate how you can contribute to our goals during discussions.
We think you need these skills to ace AI Engineering Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in leading engineering teams, mentoring staff, and delivering high-quality software solutions. Use specific examples that demonstrate your ability to manage timelines, risks, and team productivity.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and engineering management. Discuss how your leadership style aligns with fostering a collaborative culture and driving technical excellence. Mention any specific projects or achievements that showcase your skills.
Showcase Technical Expertise: Include details about your technical skills and knowledge of engineering processes, tools, and methodologies. Highlight any experience you have with peer reviews and testing practices that ensure high-quality solutions.
Demonstrate Stakeholder Engagement: Provide examples of how you've built and maintained relationships with stakeholders in previous roles. Emphasise your ability to translate business requirements into technical solutions and your experience in collaborating with cross-functional teams.
How to prepare for a job interview at Talentify
✨Showcase Your Leadership Skills
As an AI Engineering Manager, you'll need to demonstrate your ability to lead and manage teams effectively. Prepare examples of how you've fostered a collaborative culture, mentored team members, and achieved project goals in previous roles.
✨Understand the Business Objectives
Make sure you have a clear understanding of how technical decisions align with business objectives. Be ready to discuss how you've collaborated with cross-functional teams to translate business requirements into technical solutions.
✨Discuss Risk Management Strategies
Since risk management is a key part of the role, come prepared to talk about your experience in assessing and mitigating risks. Share specific examples of how you've managed timelines, team allocation, and task prioritisation to ensure successful project delivery.
✨Emphasise Continuous Improvement
Highlight your commitment to evaluating and enhancing engineering processes. Discuss any tools or methodologies you've implemented to increase efficiency and optimise team productivity, showcasing your analytical thought process.