Ai/ml Architect

**About Ingram Micro:

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Ingram Micro is an integral part of the technology and commerce ecosystems, helping our partners grow and thrive through the creation and delivery of Information Technology, Lifecycle Management, eCommerce Logistics, and Cloud solutions. With $49 billion in revenue and the ability to reach 90% of the global population, we have become the world’s largest technology distributor with operations in 59 countries and more than 35,000+ associates.

Ingram Micro helps businesses Realize the Promise of Technology. It delivers a full spectrum of global technology and supply chain services to businesses around the world. Deep expertise in technology solutions, mobility, cloud, and supply chain solutions enables its business partners to operate efficiently and successfully in the markets they serve. Unrivalled agility, deep market insights and the trust and dependability that come from decades of proven relationships, set Ingram Micro apart and ahead.

Ingram Micro takes pride in our unique culture. Our associates are our most important asset, and they are at the forefront of everything we do. Our dedication to a shared set of principles unites and guides us to better decisions and behaviors, enabling us to focus on the success of our business partners and associates. We have been certified by Great Place to Work, the global authority on workplace culture. Great Place to Work measures the degree of trust, pride and camaraderie within organizations. Being recognized for this certification is not just a destination for our company, it’s the beginning of a journey. The Great Place to Work certification is one of the many steps we are making to ensure the best employee experience for our associates, in alignment with our global Tenets of Our Success.

Ingram Micro India has been awarded in the recent past as Safe place to work, most ethical distributor, top 100 inclusive workplace.

**Role Summary**

We have an excellent opportunity for an experienced AWS Artificial Intelligence (AI)/Machine Learning (ML) Architect to join our AWS services team and play a key role in supporting our continued growth plans. These plans aim to solidify our position as a leading global Services partner with AWS. The AWS AI/ML Architect will serve as the Subject Matter Expert (SME) in assisting end-customers to design and build machine learning solutions using the AWS AI and ML stack to address complex business challenges. Additionally, the role involves creating white papers, blogs, reference implementations, labs, and presentations to promote AWS AI/ML design patterns and best practices for various customer scenarios. The architect will also mentor and educate the broader AWS technical team, enhancing their ability to integrate the AI/ML stack into customer architectures and scenarios. This role entails hands-on work with machine learning, linking technology to measurable business value, and requires strategic thinking about business, products, and technical challenges. A typical AWS AI/ML Architect will have had five or more years’ experience in a technical consulting type role, with an excellent understanding and experience of delivering AWS centric solutions, specifically focused on AI and ML.

**Key Duties and Responsibilities**

Working in close collaboration with the local (in-country) AWS sales and technical team, along with the local Regional Service Centre, the core responsibilities of the role include, but not limited to, the following:
**Project Delivery**
- Work with end-customer’s AI team to deeply understand their business and technical needs and build AI solutions that make the best use of the AWS Cloud platform and AI/ML services
- Undertake individual consultancy assignments or work on a project as part of a larger team analysing customer requirements, gathering and analysing data and recommending solutions
- Technically manage the assessment, design, and implementation of solutions
- Ensure consultancy assignments are undertaken consistently and with quality
- Highlight technical risks so that any Ingram Micro exposure to commercial loss can be minimised
- Produce and update assignment documentation as required
- Ensure that hand over to relevant support organisation is successfully completed
- Provide technical support as requested, for internal and external customers
- Lead and present at customer opportunities and workshop sessions
- Design and implement scalable, secure, and high-performance AI architectures on AWS.
- Develop and deploy machine learning models and AI solutions.
- Ensure AI architecture aligns with business requirements and industry best practices.

**Pre-Sales, Scoping, and Services Development**
- Lead, or be part of, customer scoping calls or workshop sessions
- Lead and contribute to Statement of Works
- Build and maintain a good awareness of the internal SMEs areas of specialism
- Educate partners and end-customers on the value proposition of AWS, and participate