Description

Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, Generative AI (GenAI) background, and sales skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) GenAI team as a GTM Specialist Solutions Architect!

Key job responsibilities

• Represent the voice of the customer; collaborate with field and central teams to bring customer feedback to product teams. Lead curation of custom feature and availability requests for unique customer use cases.

• Provide advanced technical knowledge to your aligned GTM teams to unblock our customers’ largest and most critical business challenges.

• Along with your extended team, own the technical bar for specialist technical artifacts and standards.

• Collaborate with your GTM colleagues to provide technical insights into GTM strategy and support field marketing to execute local technical events, campaigns, and customer engagements.

• Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc.

• Guide and Support an AWS internal community of technical subject matter experts aligned to your customers. Create field enablement materials for the broader SA population to help them understand how to integrate new AWS solutions into customer architectures.

About the team

The WWSO GenAI team positions AWS as the best place to run production-quality GenAI workloads, providing secure, reliable, and scalable infrastructure, as well as higher-level services. As a GenAI GTM Builder, your job will be to create the highest-quality go-to-market (GTM) collateral, including customer and internal demos, hands-on labs, workshops, POC accelerators, and AWS Solutions. You combine product development skills with agility, the ability to build high-quality architecture designs and solutions that follow best practices, utilizing various aspects of AIML/GenAI, and highlighting AWS capabilities in this area. You have hands-on experience with state-of-the-art ML frameworks (HuggingFace, Langchain, PyTorch) and a deep technical understanding of the latest technology trends with LLMs/multi-modal FMs, RAG, Vector DBs, agents, and prompt engineering techniques. You are familiar with the latest developments in Responsible AI and AI governance, with a focus on FMs. You need to be able to learn new concepts and tools at the speed of development of technology in GenAI and work at all levels of the AI stack, from model development/fine-tuning and integration of LLMs to broader application workflows, to applying higher-level GenAI-powered services to build business applications.

We are open to hiring candidates to work out of one of the following locations:

Bengaluru, KA, IND | Delhi, DL, IND | Mumbai, MH, IND

Basic Qualifications

• 7+ years design/implementation/consulting experience of distributed applications

• 5+ years management of technical, customer facing resources

• 5+ years of design/implementation of production AI/ML systems.

• Experience implementing GenAI solutions that include the use of LLMs/multi-modal FMs, RAG, Vector DBs, agents, and prompt engineering.

• Hands-on experience with state-of-the-art data and ML frameworks (PyTorch, HuggingFace, Langchain).

Preferred Qualifications

• History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises.

• Experience migrating or transforming legacy customer solutions to the cloud.

• Familiarity with common enterprise services.

• Presentation skills with a high degree of comfort speaking with executives, IT Management, and developers.

• Strong written communication skills.

• Working knowledge of software development tools and methodologies.

• Experience working within software development or Internet-related industries.

• AWS Solution Architecture certification or relevant cloud expertise.

• Computer Science /relevant degree and/or experience highly desired.