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Vice President Engineering, AI & Product Company Name: Cyfuture India Pvt ltd Industry: IT Services and IT Consulting Company Website: https://cyfuture.com/ , https://cyfuture.ai/ , https://cyfuture.cloud/ Location: Noida About Cyfuture Cyfuture is a leading IT Services and Consulting organization offering innovative technology solutions across Cloud, Data Center, Digital Transformation, Enterprise Solutions, and Managed Services. With a strong focus on innovation and customer success, we help businesses accelerate growth through technology-driven excellence Role Overview We are seeking a visionary Vice President Engineering, AI & Product to lead our technology, engineering, AI, and product organizations. This strategic leadership role will be responsible for defining the company's technology roadmap, driving AI innovation, building scalable enterprise products, and leading high-performing engineering teams. The ideal candidate brings deep expertise in enterprise product engineering, Generative AI, cloud-native technologies, and large-scale engineering leadership, with a proven ability to transform business ideas into market-leading products. Key Responsibilities Define and execute the long-term Engineering, AI, and Product strategy aligned with business objectives.Lead cross-functional teams comprising Engineering Managers, Product Managers, Architects, AI Engineers, Software Developers, QA, DevOps, UI/UX, Data Engineering, and Platform teams.Own the complete Software Development Life Cycle (SDLC), including architecture, development, testing, deployment, release management, and production support.Drive the development of AI-powered products leveraging Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Machine Learning, NLP, Conversational AI, and intelligent automation.Establish engineering best practices across DevSecOps, CI/CD, cloud-native development, release governance, reliability, and scalability.Collaborate with Sales, Delivery, Customer Success, and executive leadership to deliver technology-driven business outcomes.Lead innovation initiatives, intellectual property (IP) creation, AI accelerators, and commercialization of enterprise products.Oversee engineering budgets, resource planning, technology partnerships, and vendor relationships.Foster a culture of innovation, collaboration, technical excellence, and continuous learning across engineering and product teams. Technical Expertise Generative AI, Large Language Models (LLMs), Agentic AI, AI Agents, RAG, Prompt Engineering, NLP, Machine Learning, Deep LearningPython, Java, .NET, Node.js, React, Angular, FastAPILangChain, LlamaIndex, TensorFlow, PyTorch, Vector Databases, MLOpsAWS, Microsoft Azure, Google Cloud Platform (GCP)Kubernetes, Docker, Terraform, DevSecOps, CI/CD, Site Reliability Engineering (SRE)Enterprise SaaS Platforms, APIs, Microservices, Distributed Systems, Cloud-native Architecture Leadership Requirements Demonstrated experience leading large, cross-functional engineering and product organizations.Strong strategic thinking, executive presence, and stakeholder management skills.Proven success in enterprise product development, commercialization, and AI-driven digital transformation initiatives.Ability to translate business strategy into scalable technology solutions.Experience building high-performance engineering cultures focused on innovation, quality, and customer success. Preferred Industry Experience Experience in one or more of the following industries is preferred: Artificial IntelligenceCloud ComputingIT Services & ConsultingSaaSDigital TransformationData Center ServicesTelecommunicationsManaged Services Education Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline (B.Tech/M.Tech/MS/MCA).MBA or Product Management certification is an added advantage. Experience 1520 years of overall experience in software engineering and technology.Minimum 810 years in senior leadership roles managing enterprise engineering and product What we offer: Lead organization-wide Digital Transformation, Engineering, and AI initiatives that shape the future of enterprise technology. Drive the strategy and execution of next-generation AI, Generative AI, and enterprise products and platforms with end-to-end ownership.Partner directly with the CEO, executive leadership, and enterprise customers to influence business strategy and technology innovation. Build and scale high-performing Engineering, AI, and Product organizations while fostering a culture of innovation and engineering excellence. Work with cutting-edge technologies including Generative AI, LLMs, Agentic AI,A unique opportunity to join collaborative work environment in a hyper-growth contextThe chance to grow your professional and technical skills, with real room for career progressionMedical Insurance by the companyAn employee-friendly .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.