At a Glance
- Tasks: Lead and architect large-scale AI initiatives to solve real-world problems.
- Company: Join a forward-thinking tech company committed to innovation and inclusivity.
- Benefits: Enjoy flexible benefits, generous leave, and comprehensive health coverage.
- Other info: Work in a dynamic environment with opportunities for professional growth.
- Why this job: Make a significant impact in the AI field while collaborating with diverse teams.
- Qualifications: 12+ years in AI program management with strong leadership and communication skills.
The predicted salary is between 80000 - 100000 £ per year.
We are hiring an experienced AI Tech Lead to architect and lead large-scale technical AI initiatives and drive the implementation of AI technologies to solve real-world industrial problems. This is a high-visibility, hands-on senior role responsible for identifying, documenting, developing, and translating across AI technical architectures (models, data pipelines, RAG, MLOps) and AI business architectures (use cases, personas, user journey and requirements, etc.). We are specifically keen on individuals with deep understanding of emerging AI and ML technologies who have served as an AI TPM leader.
Key Responsibilities
- Drive forensic technical work to proactively identify and help mitigate technical risks, AI infrastructure bottlenecks, and scaling challenges across emerging AI/ML concepts; ensure consistency and efficiency.
- Drive multi-threaded technical AI initiatives and translate emerging AI technology signals (e.g., new model architectures, advanced agentic capabilities) into technical and operational workflows to support the building out of an actionable, clear and integrated AI roadmap.
- Architect and drive AI technical programs orchestrating complex technical decisions across multiple functions and translate high-level business strategies into clear, actionable architectures, deployments, and technical program management standards.
- Partner cross-functionally to ensure technical feasibility and translate AI use cases, user journeys and profiles into AI technical roadmaps and manage dependencies.
- Support establishing and managing a unified, consistent, and visible cadence for AI solution reviews, decision making, prioritization, alignment, and resource management.
- Track progress, maintain up to date information and relevant technical documentation and dashboards while pioneering innovative AI technical program management approaches that become best practices.
- Produce technical artifacts including guides and process documentation, templates and other repeatable resources and frameworks.
- Ensure AI initiatives comply with privacy, security, and responsible AI standards and regulations.
- Build effective working relationships in a matrixed environment, collaborating across functions to guide alignment on AI portfolio-level goals, managing interdependencies, and ensuring clear communication and risk management.
Essential Requirements
- 12+ years of experience in AI technical program management with significant experience (5+ years) managing complex AI/ML initiatives as an AI technical lead or AI engineer lead.
- Strong at abstraction and turning seemingly bespoke/one-off AI strategies into reusable patterns, templates and reference implementations.
- Exceptional technical background with deep intuition for applied AI in highly regulated industries and proven experience having recently led large-scale AI programs.
- Recent experience with modern AI paradigms such as: world models, foundation models, and multi-modal language models; agent-based systems and orchestration; and context retrieval and augmentation techniques.
- Experience in highly regulated domains including industrial, IoT, life sciences, manufacturing, energy, or asset-intensive domains.
- Exceptional leadership and communication skills, with the ability to influence cross-functional and matrixed teams, effectively communicate progress/status and present complex technical information clearly to both technical and non-technical audiences.
- Master's degree in Computer Science, Physics, Engineering or a related technical field; Ph. D degree preferred.
Desired Skills and Competencies
- Experience in responsible deployment practices, model drift mitigation, privacy-preserving federating learning, and AI governance best practices.
- Builder’s mindset with high curiosity and comfortable navigating both deeply technical emerging AI concepts and nuanced business considerations.
- Bias for action and willingness to work iteratively with proven track record of delivering ambitious goals for complex, large-scale AI initiatives.
- Proficient in SQL and Python for data analysis, including querying database, processing large data sets, and generating actionable insights; proficient in SQL for creating analytics dashboards.
What Success Looks Like
- Ability to take large, complex AI initiatives and break them down into manageable projects to deliver in a successful, timely manner.
- Demonstrated ability to drive consensus across cross-functional teams (data science, engineering, product, sales) in a matrixed environment.
- Thoughtful prioritization and sequencing decisions balancing business needs vs. technical constraints.
- Codified learnings, insights and architectural patterns into references, guides, playbooks, or building blocks that are digestible and actionable.
- Lightweight, repeatable processes and enablement vs. overly complex approaches.
- Strong collaboration with cross-functional and matrixed, technical and non-technical teams.
Benefits
- Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave (plus bank holidays), pension, life cover, private medical insurance, parental leave, education assistance program.
- Benefits vary by country but are similarly comprehensive.
AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis.
Locations
Senior AI Tech Lead - Strategic AI Programs in Derry, Londonderry employer: AVEVA
AVEVA is an exceptional employer that fosters a collaborative and inclusive work culture, offering comprehensive benefits such as flexible leave options, private medical insurance, and education assistance. With a strong commitment to employee growth and development, AVEVA provides opportunities for meaningful engagement in cutting-edge AI initiatives across various regulated industries, ensuring that every team member can thrive in their career while contributing to impactful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Tech Lead - Strategic AI Programs in Derry, Londonderry
✨Network Like a Pro
Get out there and connect with people in the AI field! Attend meetups, webinars, or industry conferences. You never know who might be looking for someone just like you!
✨Show Off Your Skills
Create a portfolio showcasing your AI projects and achievements. Whether it's GitHub repos or case studies, let your work speak for itself. This is your chance to shine!
✨Ace the Interview
Prepare for technical interviews by brushing up on your AI knowledge and problem-solving skills. Practice common interview questions and be ready to discuss your past experiences in detail.
✨Apply Through Us!
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes the process smoother for everyone involved.
We think you need these skills to ace Senior AI Tech Lead - Strategic AI Programs in Derry, Londonderry
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior AI Tech Lead role. Highlight your experience with AI/ML initiatives and any leadership roles you've held. We want to see how your skills align with our needs!
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 background makes you the perfect fit for this position. Let us know what excites you about working with us at StudySmarter.
Showcase Your Technical Skills:Don’t forget to highlight your technical expertise, especially in areas like SQL and Python. We’re looking for someone who can navigate complex AI concepts, so make sure we see that in your application!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining the StudySmarter team!
How to prepare for a job interview at AVEVA
✨Know Your AI Stuff
Make sure you brush up on the latest AI and ML technologies, especially those mentioned in the job description. Be ready to discuss your experience with world models, foundation models, and agent-based systems. This will show that you're not just familiar with the concepts but can also apply them in real-world scenarios.
✨Prepare for Technical Deep Dives
Expect to dive deep into technical discussions during the interview. Prepare to explain how you've managed complex AI initiatives in the past, including any challenges you faced and how you overcame them. Use specific examples to illustrate your problem-solving skills and technical expertise.
✨Showcase Your Leadership Skills
As a Senior AI Tech Lead, you'll need to demonstrate exceptional leadership and communication skills. Be prepared to share examples of how you've influenced cross-functional teams and driven consensus on technical decisions. Highlight your ability to communicate complex information clearly to both technical and non-technical audiences.
✨Have a Vision for AI Initiatives
Think about how you would architect and drive AI technical programs. Be ready to discuss your approach to translating high-level business strategies into actionable architectures. Show that you can break down large initiatives into manageable projects while balancing business needs with technical constraints.