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- Tasks: Lead AI initiatives and mentor software engineering teams to deliver innovative solutions.
- Company: Join LexisNexis, a leader in legal and business analytics, driving innovation globally.
- Benefits: Enjoy flexible hours, generous holidays, health benefits, and wellbeing programs.
- Why this job: Be at the forefront of AI technology, shaping the future while promoting ethical practices.
- Qualifications: Master’s degree or equivalent experience in tech; strong leadership in AI projects required.
- Other info: Work-life balance is prioritized with various support programs and volunteer opportunities.
The predicted salary is between 54000 - 84000 £ per year.
Director Software Engineering – AI
Apply locations: United Kingdom, London
Time type: Full time
Posted on: Posted Yesterday
Job requisition id: R86608
Director of Software Engineering – AI
Are you ready for a leading role?
Would you enjoy working on our cutting-edge products?
About our Team
At LexisNexis Intellectual Property (LNIP), we aim to bring clarity to innovation by delivering better outcomes to the innovation community. We help innovators make informed decisions, be more productive, and achieve superior results, ultimately advancing humanity.
About the Role
As the Director of Software Engineering, you will be a key member of the LNIP Technology Leadership Team. Your primary responsibility will be to drive the strategic vision of AI initiatives across the organization, ensuring alignment with organizational goals. You will lead, mentor, and build capable software engineering teams focused on delivering front-end and API experiences for AI and ML platforms.
Responsibilities
- Lead agile teams to develop and deliver AI-enabled software solutions.
- Develop and communicate a clear AI strategy aligned with overall goals.
- Identify opportunities to enhance processes, improve efficiency, and drive innovation with AI.
- Architect and craft scalable solutions, driving data excellence across the organization.
- Define best practices for AI/ML and manage the AI lifecycle.
- Collaborate with executives and external customers to integrate AI into the technology roadmap.
- Ensure AI solutions adhere to ethical guidelines and legal requirements.
- Promote transparency, fairness, and accountability in AI decision-making.
- Communicate AI initiatives, progress, and outcomes to stakeholders.
- Evaluate and recommend AI tools, platforms, and frameworks.
- Assess risks associated with AI implementation, including bias, security, and compliance.
Requirements
- Master’s degree in computer technology, physics, math, or a related field, or equivalent industry experience.
- Experience leading AI projects and teams.
- Demonstrate a strong history of working with various programming languages and technologies, including React, C#, TypeScript, AWS, and SQL.
- Demonstrate an understanding of building responsive, user-friendly client-side applications with a strong focus on user experience (UX).
- Experience deploying enterprise solutions.
- Proven track record of developing, deploying, and delivering quality solutions.
- Demonstrated expert knowledge of micro-services architecture and design patterns.
- Understanding of machine learning, natural language processing, and deep learning.
- Experience with cloud-based AI services and platforms.
- Knowledge of regulatory frameworks related to AI (e.g., GDPR, CCPA).
- Ability to influence and drive change across the organization.
- Strategic thinking and vision skills.
Work in a way that works for you
We promote a healthy work/life balance across the organisation. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
- Working flexible hours – flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
Working for you
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Generous holiday allowance with the option to buy additional days.
- Health screening, eye care vouchers and private medical benefits.
- Wellbeing programs.
- Life assurance.
- Access to a competitive contributory pension scheme.
- Save As You Earn share option scheme.
- Travel Season ticket loan.
- Electric Vehicle Scheme.
- Optional Dental Insurance.
- Maternity, paternity and shared parental leave.
- Employee Assistance Programme.
- Access to emergency care for both the elderly and children.
- RECARES days, giving you time to support the charities and causes that matter to you.
- Access to employee resource groups with dedicated time to volunteer.
- Access to extensive learning and development resources.
- Access to employee discounts scheme via Perks at Work.
About the Business
LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world.
LexisNexis, a division of RELX, is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
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Director Software Engineering employer: LexisNexis Risk Solutions
Contact Detail:
LexisNexis Risk Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director Software Engineering
✨Tip Number 1
Make sure to showcase your leadership experience in AI projects. Highlight specific instances where you've successfully led teams and delivered innovative solutions, as this role requires strong leadership skills.
✨Tip Number 2
Familiarize yourself with the latest trends in AI and machine learning. Being able to discuss current advancements and how they can be applied to enhance processes will demonstrate your strategic thinking and vision.
✨Tip Number 3
Prepare to discuss your experience with various programming languages and technologies mentioned in the job description. Be ready to provide examples of how you've utilized these tools to create user-friendly applications.
✨Tip Number 4
Understand the ethical implications of AI and be prepared to discuss how you would ensure compliance with regulations like GDPR. This knowledge is crucial for promoting transparency and accountability in AI decision-making.
We think you need these skills to ace Director Software Engineering
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Director of Software Engineering position. Tailor your application to highlight your experience in leading AI projects and teams.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with programming languages and technologies mentioned in the job description, such as React, C#, TypeScript, AWS, and SQL. Provide specific examples of how you've successfully led AI initiatives.
Showcase Leadership Skills: As this role involves leading and mentoring teams, be sure to include examples of your leadership style and how you've built capable software engineering teams in the past. Mention any agile methodologies you have implemented.
Communicate Your Vision: In your cover letter, articulate your strategic vision for AI initiatives and how you plan to align them with organizational goals. This will demonstrate your understanding of the company's mission and your ability to drive innovation.
How to prepare for a job interview at LexisNexis Risk Solutions
✨Showcase Your Leadership Experience
As a Director of Software Engineering, your ability to lead and mentor teams is crucial. Be prepared to discuss specific examples of how you've successfully led AI projects and developed high-performing teams in the past.
✨Demonstrate Strategic Thinking
The role requires a clear AI strategy aligned with organizational goals. Think about how you can articulate your vision for AI initiatives and provide examples of how you've driven strategic change in previous roles.
✨Highlight Technical Proficiency
Make sure to discuss your experience with relevant programming languages and technologies such as React, C#, TypeScript, AWS, and SQL. Be ready to explain how you've applied these skills in developing scalable AI solutions.
✨Understand Ethical AI Practices
Given the emphasis on ethical guidelines and compliance, be prepared to discuss your understanding of regulatory frameworks related to AI, such as GDPR and CCPA, and how you've ensured adherence to these in your previous projects.
