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 CRM and Technology 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.
StudySmarter Expert Advice🤫
We think this is how you could land Head of CRM and Technology
✨Tip Number 1
Network like a pro! Reach out to industry contacts on LinkedIn or attend relevant meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for interviews by researching the company and its products. We should be ready to discuss how our skills align with their vision, especially in AI and technology. Show them you’re not just another candidate!
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms. We need to nail those tricky questions about AI systems and engineering strategies to stand out from the crowd.
✨Tip Number 4
Don’t forget to follow up after interviews! A quick thank-you email can go a long way. Let’s remind them why we’re the best fit for leading their AI initiatives and transforming customer experiences.
We think you need these skills to ace Head of CRM and Technology
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 can drive the strategy and execution of Agentic AI systems that 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 in deploying Agentic AI solutions at an enterprise scale, so let us know what you've achieved!
Align with Our Goals:Make sure your application aligns with our business objectives. We’re keen on candidates who can define and execute a solid engineering roadmap, so share how your past experiences can contribute to our future success.
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 get to know you better, so don’t miss out on this opportunity!
How to prepare for a job interview at Questhiring
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Agentic AI and the specific frameworks mentioned in the job description, like LangGraph and CrewAI. Be ready to discuss how you've successfully built and scaled AI products from concept to production.
✨Showcase Your Leadership Skills
As a Senior Vice President, you'll need to demonstrate your ability to lead global engineering teams. Prepare examples of how you've fostered a culture of innovation and excellence in previous roles, and be ready to discuss how you attract and retain top talent.
✨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 approach to defining a 3–5 year roadmap for AI initiatives that align with these objectives.
✨Prepare for Technical Questions
Expect in-depth technical questions about software architecture, cloud platforms, and distributed systems. Brush up on best practices for AI governance and model lifecycle management, as these will likely come up during the interview.
