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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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Engineering and Information Technology
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Engineering Head employer: Elixirr
Contact Detail:
Elixirr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Head
✨Tip Number 1
Network with professionals in the AI and engineering fields. 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
Showcase your leadership experience in AI projects. Prepare specific examples of how you've successfully led teams in developing AI solutions, particularly those that align with the technologies mentioned in the job description, like RAG and LLMs. This will demonstrate your capability to fulfil the role's requirements.
✨Tip Number 3
Stay updated on the latest trends in AI and engineering. Familiarise yourself with emerging frameworks and tools such as LangChain and AutoGen. Being knowledgeable about these advancements will not only help you in interviews but also show your passion for the field.
✨Tip Number 4
Prepare to discuss your vision for AI solutions in a consulting context. Think about how you would approach integrating AI into client operations and improving internal processes at Elixirr. Articulating a clear and innovative strategy will set you apart from other candidates.
We think you need these skills to ace Engineering Head
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications for the Engineering Head position. Tailor your application to highlight how your experience aligns with their needs, especially in AI solutions and engineering management.
Craft a Compelling CV: Your CV should clearly showcase your technical expertise and leadership experience. Focus on quantifiable achievements in previous roles, particularly those related to AI/ML solutions and team management. Use clear headings and bullet points for easy readability.
Write a Strong Cover Letter: In your cover letter, express your passion for AI and how it can transform engineering processes. Highlight specific projects or experiences that demonstrate your ability to lead teams and deliver innovative solutions. Make sure to convey your understanding of Elixirr's mission and values.
Proofread and Edit: Before submitting your application, thoroughly proofread your documents. Check for spelling and grammatical errors, and ensure that your formatting is consistent. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Elixirr
✨Showcase Your Technical Expertise
As the Head of Engineering, you'll need to demonstrate a deep understanding of AI/ML solutions. Be prepared to discuss your experience with technologies like Retrieval-Augmented Generation and large language models, as well as how you've implemented these in past projects.
✨Emphasise Leadership Experience
Highlight your experience in building and leading high-performing engineering teams. Share specific examples of how you've fostered a culture of innovation and collaboration, and how you've successfully scaled technical teams in previous roles.
✨Align with Business Goals
Be ready to articulate how your technical vision aligns with business objectives. Discuss how you've translated business needs into actionable technical strategies in the past, showcasing your ability to bridge the gap between technical and non-technical stakeholders.
✨Prepare for Collaborative Scenarios
Since this role involves significant collaboration with cross-functional teams, prepare to discuss how you've worked with product management, design, and sales teams. Share examples of successful projects where you engaged with clients to understand their needs and provided technical guidance.
