cygnify - Head of AI
Requirements
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, Business, or a related discipline. • 15+ years of experience in enterprise technology, consulting, solution architecture, or AI leadership. • Proven success in client-facing AI consulting, presales, solution engineering, or technology advisory roles. • Deep expertise in Artificial Intelligence, Machine Learning, Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), and enterprise AI platforms. • Strong understanding of AI adoption strategies, digital transformation, and business process optimization. • Demonstrated experience engaging with C-suite executives and influencing strategic technology decisions. • Proven track record of supporting enterprise sales, driving AI opportunities, and contributing to revenue growth. • Experience working with cloud AI platforms such as AWS, Microsoft Azure, or Google Cloud. • Strong commercial mindset with excellent presentation, storytelling, negotiation, and stakeholder management skills. • Experience within financial services, banking, insurance, fintech, or enterprise technology is highly desirable. • Experience with AI consulting, technology advisory, or professional services organizations. • Background in enterprise software, cloud platforms, or digital transformation consulting. • Existing network of enterprise customers and technology partners across the APAC region. • Experience building AI Centers of Excellence (CoE) or enterprise AI transformation programs.
Responsibilities
• AI Strategy & Client Advisory • Act as the executive AI advisor to enterprise customers, helping define their AI vision, transformation roadmap, and business strategy. • Engage with C-level stakeholders to identify business challenges and position AI-driven solutions that deliver measurable outcomes. • Lead AI discovery workshops, executive briefings, and innovation sessions with prospective and existing clients. • Translate complex AI technologies into clear business value propositions for both technical and nontechnical audiences. • Commercial & Presales Leadership • Partner with Sales and Business Development teams to drive revenue growth through AI consulting, solution selling, and strategic client engagements. • Lead the AI presales lifecycle, including opportunity qualification, solution design, proposal development, executive presentations, and customer demonstrations. • Develop compelling AI use cases, business cases, proof-of-concepts (PoCs), and value realization frameworks. • Support RFPs, RFIs, and large-scale enterprise bids by providing AI subject matter expertise. • Build trusted relationships with executive stakeholders and become the go-to AI advisor throughout the customer lifecycle. • Solution Innovation • Design enterprise AI solutions leveraging Generative AI, Large Language Models (LLMs), Machine Learning, Conversational AI, intelligent automation, and advanced analytics. • Collaborate with Product, Engineering, and Delivery teams to ensure successful implementation of AI solutions. • Evaluate emerging AI technologies and identify opportunities to expand the organization's AI offerings. • Drive AI innovation by developing repeatable industry-specific AI solutions and accelerators. • Business Growth & Thought Leadership • Develop AI go-to-market strategies for priority industries, including financial services and fintech. • Build strategic partnerships with hyperscalers, AI vendors, startups, and technology partners. • Represent the organization at industry conferences, customer events, webinars, and executive forums as an AI thought leader. • Mentor internal sales, consulting, and delivery teams on AI trends, market opportunities, and solution positioning.
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