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- Tasks: Lead the development of innovative AI solutions and enhance engineering processes.
- Company: Elixirr is a dynamic global consulting firm focused on transformative AI solutions.
- Benefits: Enjoy competitive pay, equity options, and a collaborative, entrepreneurial environment.
- Why this job: Shape the future of AI while driving impactful innovation for clients and internal teams.
- Qualifications: 10+ years in engineering leadership with expertise in AI/ML solutions and team management.
- Other info: Be part of a diverse team and work on cutting-edge AI technologies.
The predicted salary is between 72000 - 108000 ÂŁ per year.
4 days ago Be among the first 25 applicants
Job Title: Engineering Head, AI Solutions
Location: London
About Elixirr
Elixirr is a dynamic and innovative global consulting firm, recognized for delivering transformative solutions to our clients across various industries. As part of our growing AI practice, we are committed to developing enterprise-grade products and accelerators that drive innovation for our clients and our people. These solutions enable our clients to harness the power of advanced AI technologies, including Retrieval-Augmented Generation (RAG) and inference chatbots, grounded in their proprietary data. About The Role
We are seeking a visionary Head of Engineering to lead the development of our enterprise-grade AI solutions. This individual will serve as the product leader, driving the technical strategy, architecture, and execution of our AI solutions, which integrate agentic workflows to dynamically populate and manage the proprietary content accessed by these systems. The ideal candidate will also have a passion for utilizing AI to enhance engineering processes, enabling our team to perform at scale and deliver impactful solutions efficiently. This role partners deeply with our AI Innovation & Enablement Lead to design solutions that transform both our clients' operations and Elixirr's own ways of working. You’ll lead the charge in building not just enterprise-grade AI products, but also internal tools that redefine productivity and unlock the full potential of agentic AI across our firm. From solution ideation to rapid prototyping, you will be empowered to pursue high-impact ideas with startup-level agility inside a global consultancy. This is a high-impact, hands-on leadership role requiring deep technical expertise, strategic thinking, and the ability to collaborate across teams to deliver innovative, scalable, and secure AI products. Key Responsibilities
Product Leadership:
- Define and execute the technical vision and roadmap for the AI solutions, ensuring alignment with business goals and client needs.
- Lead the design and development of scalable, secure, and robust platforms for deploying enterprise-grade AI solutions and accelerators.
- Oversee the integration of agentic workflows that streamline the ingestion and management of proprietary client data.
- Drive the development of AI-powered tools that enhance the day-to-day productivity of Elixirr consultants and teams.
- Identify internal pain points and prototype solutions that scale across the firm.
Engineering Management
- Build, lead, and mentor a high-performing engineering team, fostering a culture of innovation, collaboration, and excellence.
- Establish and enforce best practices for software development, deployment, and maintenance.
- Manage resources, budgets, and timelines to ensure timely delivery of high-quality solutions.
- Leverage AI-driven tools and technologies to optimize engineering workflows and improve team efficiency.
Collaboration And Stakeholder Engagement
- Collaborate closely with the AI Innovation & Enablement Lead to shape and scale transformative AI products.
- Partner with cross-functional teams, including product management, design, data science, and sales, to ensure cohesive product development and delivery.
- Engage with clients to understand their needs and provide technical guidance during pre-sales and implementation phases.
Technology And Architecture
- Architect and implement AI and ML pipelines, including retrieval-augmented generation, large language models (LLMs), inference mechanisms, and data integration workflows.
- Ensure compliance with enterprise-grade security, scalability, and performance standards.
- Build modular and reusable software components to support internal use cases and potential external productization.
- Stay ahead of industry trends and innovations, incorporating relevant advancements, including cutting-edge developments in LLMs and emerging AI frameworks such as LangChain, AutoGen, and DSPy.
Qualifications
Technical Expertise:
- Proven experience building and deploying enterprise-grade AI/ML solutions, including RAG, LLMs, and chatbot technologies.
- Strong proficiency in cloud-based architectures, APIs, and data integration techniques.
- Experience with agentic workflows, automation, and managing unstructured/structured data.
- Familiarity with designing software solutions for reuse and scalability across different use cases.
- Exposure to emerging AI developer frameworks and open-source tooling (e.g., LangChain, AutoGen, DSPy) is a plus.
Leadership Experience
- 10+ years of engineering leadership experience, including managing and scaling technical teams.
- Experience scaling technical teams and infrastructure at a SaaS company to support hundreds of clients.
- Track record of successfully delivering complex, high-impact products in a fast-paced environment.
Strategic And Communication Skills
- Exceptional ability to translate business goals into technical strategies and execution plans.
- Strong communication and stakeholder management skills, with the ability to influence and inspire both technical and non-technical audiences.
Educational Background
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Advanced certifications or coursework in AI/ML, cloud technologies, or data engineering is a plus.
Why Join Us?
- Be at the forefront of innovation in AI and play a key role in shaping the future of enterprise solutions.
- Collaborate with a talented, diverse, and cross-functional team in a dynamic, entrepreneurial environment.
- Drive innovation that impacts both clients and internal operations.
- Competitive compensation package, including equity options.
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Executive
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Engineering and Information Technology
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Industries
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Engineering Head (London) employer: Elixirr
Contact Detail:
Elixirr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Head (London)
✨Tip Number 1
Network with professionals in the AI and engineering sectors. Attend industry events, webinars, or meetups where you can connect with people who work at Elixirr or similar companies. Building these relationships can give you insights into the company culture and potentially lead to referrals.
✨Tip Number 2
Stay updated on the latest trends in AI technologies, especially those mentioned in the job description like Retrieval-Augmented Generation and large language models. Being knowledgeable about these topics will not only help you in interviews but also demonstrate your passion for the field.
✨Tip Number 3
Prepare to discuss your leadership style and experiences in managing engineering teams. Think of specific examples where you've successfully led projects or initiatives that align with the responsibilities outlined in the job description, as this will showcase your fit for the role.
✨Tip Number 4
Familiarise yourself with Elixirr's existing products and services. Understanding their current offerings will allow you to speak knowledgeably about how you can contribute to their AI solutions and improve their engineering processes during the interview.
We think you need these skills to ace Engineering Head (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI and engineering leadership. Focus on your achievements in building enterprise-grade solutions and managing technical teams, as these are key aspects of the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how it can transform engineering processes. Mention specific projects or experiences that demonstrate your ability to lead and innovate in this field.
Showcase Technical Expertise: Clearly outline your technical skills related to AI/ML solutions, cloud architectures, and data integration techniques. Use examples from your past work to illustrate your proficiency and understanding of emerging technologies.
Highlight Leadership Experience: Emphasise your leadership experience, particularly in scaling technical teams and delivering complex products. Provide examples of how you've fostered a culture of innovation and collaboration within your teams.
How to prepare for a job interview at Elixirr
✨Showcase Your Technical Expertise
As the role requires deep technical knowledge in AI/ML solutions, be prepared to discuss your experience with technologies like RAG and LLMs. Bring examples of past projects where you successfully implemented these technologies.
✨Demonstrate Leadership Skills
Highlight your experience in building and mentoring engineering teams. Share specific instances where you fostered a culture of innovation and collaboration, as this is crucial for the Head of Engineering position.
✨Align with Business Goals
Be ready to articulate how your technical strategies can align with the company's business objectives. Discuss how you can translate client needs into actionable engineering plans that drive results.
✨Engage in Collaborative Problem-Solving
Since the role involves working closely with cross-functional teams, prepare to discuss how you've successfully collaborated with product management, design, and sales in previous roles. Emphasise your ability to engage stakeholders and influence decisions.
