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: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Join a dynamic team dedicated to building cutting-edge AI solutions.
- 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 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.
Head of Technology Deployment 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 Deployment
✨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 engineering achievements. This is your chance to demonstrate your expertise in building Agentic AI products from scratch.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in AI and digital products. Be ready to discuss how you've driven transformation initiatives and influenced executive stakeholders in your past roles.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Head of Technology Deployment
Some tips for your application 🫡
Show Your Vision:When writing your application, make sure to highlight your vision for AI-powered products. We want to see how you plan to drive the strategy and execution of Agentic AI systems that can transform customer experiences.
Demonstrate Your Experience:Don’t hold back on showcasing your experience in building and scaling AI products from 0 to 1. We’re looking for someone who has a proven track record, so share specific examples of your past successes in deploying AI solutions at an enterprise scale.
Align with Our Goals:Make it clear how your skills and experiences align with our business objectives. We want to know how you can help us define and execute a 3-5 year roadmap for Agentic AI that drives measurable business value.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!
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 deploying it effectively.
✨Craft a Visionary Roadmap
Prepare to articulate a clear 3–5 year vision for AI deployment that aligns with business goals. Think about how you would drive adoption across various customer journeys and operational workflows. This demonstrates your strategic thinking and ability to influence executive stakeholders.
✨Showcase 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, as well as how you attract top talent. This is crucial for a leadership role like Senior Vice President – Engineering.
✨Demonstrate Technical Excellence
Brush up on your knowledge of cloud-native technologies and distributed systems. Be prepared to discuss best practices for AI governance, safety, and reliability. Showing that you understand the technical intricacies will help establish your credibility as a leader in this space.
