Engagement Manager Artificial Intelligence @ Lenovo India

Job Description

Why Work at Lenovo We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$62 billion revenue global technology powerhouse, ranked #171 in the Fortune Global 500, employing 77,000 people around the world, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver smarter technology for all, Lenovo has built on its success as the worlds largest PC company by further expanding into growth areas that fuel the advancement of New IT technologies (client, edge, cloud, network, and intelligence) including server, storage, mobile, software, solutions, and services. This transformation together with Lenovos world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit https://www.lenovo.com, and read about the latest news via our StoryHub. Description And Requirements As an engagement Manager specializing in Artificial Intelligence (AI) at. Lenovo Solutions & Services Group (SSG), you'll be the driving force behind the strategic direction and implementation of AI solutions for our clients. Your expertise will be instrumental in shaping the future of AI adoption and utilization across industries. In this role, you will: Lead mid-size client engagements, serving as a trusted advisor and thought leader in AI strategy and implementation. Collaborate closely with stakeholders to understand their business objectives and translate them into innovative AI strategies and solutions, driving revenue growth and business impact. Architect and implement cutting-edge AI solutions tailored to each client's unique needs, showcasing your expertise in complex AI projects and deals. Design and optimize AI deployment strategies across hybrid cloud environments, ensuring seamless operation and maximum efficiency, while also driving revenue through innovative solution offerings. Work with internal development teams and partners to manage full lifecycle of AI engagement, leading to value realization for clients. Develop frameworks, governance models, and best practices to accelerate AI solution development and ensure successful delivery, establishing yourself as a leader in the AI consulting space. Qualifications: At least 10+ years of experience in architecting and delivering AI solutions, with a proven track record of success in client-facing roles, demonstrating thought leadership and revenue impact. Proficiency in various AI components and solutions, showcasing your ability to lead complex AI projects and engagements with clients. Strong understanding of Machine Learning fundamentals, NLP concepts, Deep Learning architectures and Generative AI/LLM concepts enabling you to tackle complex challenges and drive revenue growth. Exceptional leadership, communication, and stakeholder management skills, essential for leading AI practices, driving client engagements, and revenue generation. Commitment to continuous learning and staying updated on emerging trends and technologies in the AI space, driving revenue through innovative solution offerings and thought leadership. Bachelors or masters degree in management, preferably holding MBA from top institutes. Experience working in consulting or advisory roles, with a focus on AI and emerging technologies. Preferred Skills: Advanced knowledge of AI frameworks and libraries, as well as experience across various industries, demonstrating thought leadership and revenue impact. Understanding of cloud platforms and security best practices, supported by relevant certifications, driving revenue through innovative solution offerings and practice growth. Hands-on experience in full life cycle of AI solution development Data management (ingestion, integration, transformation), model training & deployment and MLops. Additional Locations: India India

Employement Category:

Employement Type: Full time
Industry: Consumer Durables / Electronics
Role Category: Consumer Durables / Electronics
Functional Area: Not Applicable
Role/Responsibilies: Engagement Manager Artificial Intelligence

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Keyskills:   Artificial Intelligence Machine Learning NLP Deep Learning Stakeholder Management Leadership Communication Consulting Advisory Data Management AI strategy Generative AILLM Cloud Platforms Model Training MLops