At a Glance
- Tasks: Lead the development of AI-powered digital products and transform customer experiences.
- Company: Innovative tech company focused on Agentic AI and digital transformation.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team driving enterprise-wide transformation through cutting-edge technology.
- Why this job: Be at the forefront of AI innovation and make a significant impact.
- Qualifications: 20+ years in software engineering with leadership experience in AI product development.
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.
CTO / Head of Technology - Hybrid Working employer: Questhiring
As a leading innovator in AI-powered digital products, our company offers an exceptional work environment that fosters creativity and collaboration. With hybrid working options in the vibrant tech hubs of Gurgaon and Bangalore, employees benefit from a culture that prioritises engineering excellence, continuous learning, and the opportunity to lead transformative projects that impact millions of users. We are committed to attracting top talent and providing growth opportunities through mentorship and cutting-edge technology initiatives, making us an ideal employer for those seeking meaningful and rewarding careers in technology.
StudySmarter Expert Advice🤫
We think this is how you could land CTO / Head of Technology - Hybrid Working
✨Tip Number 1
Network like a pro! Get out there and connect with industry folks on LinkedIn or at events. 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 or a personal website showcasing your projects, especially those related to AI and digital products. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by researching the company’s recent projects and challenges. Tailor your answers to show how your experience with Agentic AI can help them achieve their goals. Be ready to discuss your vision for AI-powered products!
✨Tip Number 4
Don’t just apply anywhere; focus on companies that excite you! Use our website to find roles that match your passion for AI and technology. It’s all about finding the right fit where you can make an impact.
We think you need these skills to ace CTO / Head of Technology - Hybrid Working
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the CTO role. Highlight your experience with AI products and leadership in engineering, as this will show us you’re the right fit for our vision.
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 measurable impacts, so include any stats or outcomes that demonstrate your success.
Be Authentic:Let your personality shine through in your application. We’re looking for someone who can lead with vision and creativity, so don’t be afraid to express your passion for AI and technology!
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 the role without any hiccups.
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 building AI products from scratch and how you've scaled them in production environments.
✨Showcase Your Leadership Skills
As a potential CTO, it's crucial to demonstrate your ability to lead global engineering teams. Prepare examples of how you've fostered a culture of innovation and excellence in your previous roles, and be ready to discuss how you would build strong leadership teams at this new company.
✨Align with Business Objectives
Understand the company's business goals and how your vision for AI can drive measurable value. Be prepared to discuss your strategies for aligning technology investments with these objectives and how you plan to influence executive stakeholders.
✨Prepare for Technical Deep Dives
Expect to dive deep into technical discussions about system architecture, cloud-native technologies, and AI governance. Brush up on your knowledge of distributed systems and be ready to share best practices for AI evaluations and observability.
