At a Glance
- Tasks: Lead the development of AI-powered digital products and transform customer experiences.
- Company: Innovative tech company focused on cutting-edge AI solutions.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Join a dynamic team dedicated to building world-class AI systems.
- Why this job: Be at the forefront of AI innovation and make a significant impact in the tech industry.
- Qualifications: 20+ years in software engineering with strong leadership and AI product experience.
The predicted salary is between 150000 - 200000 £ per year.
We are seeking a visionary Senior Vice President – Engineering to lead the next generation of AI-powered digital products and platforms. This role will drive the strategy, architecture, and execution of large-scale Agentic AI systems, transforming customer experiences, operational workflows, and engineering productivity through intelligent autonomous agents.
The ideal leader has successfully built and scaled 0→1 AI products from concept to production, with deep expertise in deploying Agentic AI solutions at enterprise scale. You will lead global engineering teams responsible for delivering AI-native products that serve millions of customers while modernizing legacy platforms into intelligent, autonomous systems.
Agentic AI Strategy & Vision- Define and execute a 3–5 year engineering and Agentic AI roadmap aligned with business objectives.
- Drive adoption of Agentic AI across customer journeys, service operations, commerce platforms, and engineering workflows.
- Establish a long-term vision for AI-native products powered by autonomous agents, orchestration frameworks, and LLM-driven decision systems.
- Partner with executive leadership to identify high-impact opportunities where Agentic AI can create measurable business value.
- Lead the design, development, and production deployment of Agentic AI systems from ideation through enterprise-scale rollout.
- Drive implementation of LLM orchestration frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or equivalent platforms.
- Establish best practices for AI evaluations, guardrails, observability, governance, safety, and reliability.
- Own the complete lifecycle of AI systems including experimentation, validation, production deployment, monitoring, and continuous optimization.
- Lead engineering teams building customer-facing platforms, commerce ecosystems, CRM solutions, service applications, and AI-enabled experiences.
- Drive modernization of legacy platforms into cloud-native, API-first, AI-ready architectures.
- Ensure engineering excellence through scalable system design, automation, observability, and operational rigor.
- Guide teams in building highly available, secure, and resilient distributed systems.
- Build enterprise-grade AI platforms supporting model serving, vector databases, RAG pipelines, agent orchestration, and AI observability.
- Define standards for AI governance, model lifecycle management, prompt engineering, evaluation frameworks, and responsible AI practices.
- Establish scalable infrastructure supporting large-scale AI workloads and autonomous workflows.
- Lead adoption of AI engineering best practices across the organization.
- Partner with CIOs, CPOs, and executive stakeholders to align technology investments with business priorities.
- Drive large-scale transformation initiatives delivering significant business impact through AI and automation.
- Influence product strategy through deep understanding of customer needs, competitive landscape, and emerging AI technologies.
- Build strong leadership teams capable of driving innovation and execution at scale.
- Foster a culture of experimentation, ownership, engineering excellence, and AI-first thinking.
- Attract and retain world-class engineering and AI talent.
20+ years of software engineering experience with significant leadership responsibility. Strong hands-on background in software architecture, distributed systems, cloud platforms, and enterprise-scale engineering. Demonstrated success building Agentic AI products from 0→1 and taking them into production environments. Experience deploying production-grade AI systems serving large-scale customer or enterprise workloads. Strong understanding of AI governance, security, safety, compliance, and model lifecycle management. Experience driving AI adoption across customer experience, commerce, operations, or engineering productivity functions. Proven ability to influence executive stakeholders and drive enterprise-wide transformation initiatives. Experience working with Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or equivalent. Exposure to Voice AI, Conversational AI, AI Agents, Copilots, and Autonomous Workflow Systems. Experience building AI platforms supporting millions of users and high-volume transactions. Strong understanding of cloud-native technologies and modern platform engineering. Bachelor's or Master's Degree in Computer Science, Engineering, or related discipline.
Establish a world-class Agentic AI engineering organization. Deliver multiple AI-native products from concept to production. Transform legacy workflows into autonomous AI-driven systems. Build scalable AI platforms enabling rapid innovation across the enterprise. Drive measurable business impact through AI-powered automation, productivity, and customer experience transformation.
Head of Technology & Innovation employer: Questhiring
As a leading innovator in AI-powered digital products, our company offers an exceptional work environment in Gurgaon/Bangalore that fosters creativity and collaboration. We prioritise employee growth through continuous learning opportunities and a culture that encourages experimentation and ownership, making it an ideal place for visionary leaders to thrive. Join us to be at the forefront of transforming customer experiences and operational workflows with cutting-edge technology while enjoying the benefits of a hybrid work model.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Technology & Innovation
✨Tip Number 1
Network like a pro! Reach out to industry contacts on LinkedIn or attend tech meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects and innovations. This is your chance to demonstrate your expertise in building Agentic AI products and how you've transformed customer experiences.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI frameworks and cloud-native technologies. Be ready to discuss how you've driven AI adoption and influenced product strategy in previous roles.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight your experience with AI systems and leadership in engineering.
We think you need these skills to ace Head of Technology & Innovation
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI products and engineering leadership. We want to see how your background aligns with our vision for Agentic AI!
Showcase Your Achievements:Don’t just list your responsibilities; share specific examples of how you’ve built and scaled AI products from 0 to 1. We love seeing quantifiable results that demonstrate your impact in previous roles.
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to convey your ideas, especially when discussing complex topics like AI architectures or cloud-native technologies. We appreciate clarity!
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity at StudySmarter!
How to prepare for a job interview at Questhiring
✨Know Your AI Inside Out
Make sure you have a solid grasp of Agentic AI concepts and frameworks like LangGraph or CrewAI. Be ready to discuss your past experiences in building AI products from scratch and how you've scaled them to production. This will show that you’re not just familiar with the technology, but that you can lead teams in implementing it effectively.
✨Showcase Your Vision
Prepare to articulate a clear 3–5 year roadmap for AI integration within the company. Think about how you would drive adoption across various customer journeys and operational workflows. This is your chance to demonstrate your strategic thinking and how you align technology with business objectives.
✨Demonstrate Leadership Skills
Be ready to share examples of how you've built and led high-performing engineering teams. Discuss how you foster a culture of innovation and ownership, and how you attract top talent. This role requires strong leadership, so showcasing your ability to inspire and guide teams will be crucial.
✨Prepare for Technical Deep Dives
Expect to dive deep into technical discussions about system architecture, cloud platforms, and AI governance. Brush up on your knowledge of distributed systems and be prepared to discuss best practices for AI evaluations and safety measures. This will help you stand out as a candidate who not only understands the big picture but also the nitty-gritty details.
