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Senior Engagement Manager - AI CoE

Lenovo

Lenovo

Software Engineering, Data Science
Bengaluru, Karnataka, India
Posted on Jul 9, 2024

General Information

Req #
WD00062754
Career area:
Artificial Intelligence
Country/Region:
India
State:
Karnataka
City:
BANGALORE
Date:
Thursday, March 28, 2024
Working time:
Full-time
Additional Locations:
* India - Delhi - Delhi
* India - Mahārāshtra - Mumbai
* India - Karnātaka - Bangalore
* India - Mahārāshtra - Pune
* India - Karnātaka - BANGALORE

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 #217 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 world’s 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 Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

Description and Requirements

As an Senior 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 Overall, 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.

Bachelor’s or master’s 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 - Delhi - Delhi
* India - Mahārāshtra - Mumbai
* India - Karnātaka - Bangalore
* India - Mahārāshtra - Pune
* India - Karnātaka - BANGALORE
* India
* India - Delhi , * India - Karnātaka , * India - Mahārāshtra
* India - Delhi - Delhi , * India - Mahārāshtra - Mumbai , * India - Karnātaka - Bangalore , * India - Mahārāshtra - Pune , * India - Karnātaka - BANGALORE