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Generative AI Technical Solutions Consultant

Karnataka, India (On-site)

Generative AI Technical Solutions Consultant

1 Month ago • 3-5 Years • Artificial Intelligence

About the job

5 skills required for this role

Test your skills to join the top 1% applicants for this job

java

tensorflow

python

google-cloud-platform

networking

Job Description

As part of Applied AI Engineering/Cloud AI, the team is responsible for large-scale last mile GenAI solutions delivery. We develop reusable horizontal solutions accelerators and build GenAI apps to onboard and scale customer engagements. These scalable reusable solutions accelerators enable Google Cloud Platform (GCP) customers to deploy Generative AI solutions easily and with high accuracy. We collaborate with product teams and bridge gaps in products using this repeatable solutions accelerator methodology. Examples of reusable artifacts include "talk to docs", "talk to data", "talk to code", etc. We also build automated prompt optimization tools. Finally, we also work with Google Deepmind and other research teams to make Gemini suitable for enterprise use cases when accessed from Vertex AI.

Must have:

Bachelor's degree in STEM or equivalent experience
3 years of experience with Generative AI, LLMs, Machine Learning, and related frameworks
2 years of experience writing code in one or more programming languages (e.g., Python, Java)
Experience working with Cloud and AI Platforms

Good to have:

Master's degree in Engineering, Computer Science, or related technical fields
Experience in Conversational AI, telecommunications, networking, or contact centers
Experience in consulting, technical consulting in a customer-facing role, with solid results working with a variety of different types of customers, engineers, and business
Knowledge of other AI frameworks, products, or solutions such as TensorFlow
Ability to lead and organize the design and implementation of AI-based custom developed cloud solutions

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Minimum qualifications:

Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
3 years of experience with Generative AI, Large Language Models (LLMs), Machine Learning, and related frameworks.
2 years of experience writing code in one or more programming languages (e.g., Python, Java).
Experience working with Cloud and AI Platforms.

Preferred qualifications:

Master's degree in Engineering, Computer Science, or related technical fields.
Experience in Conversational AI, telecommunications, networking, or contact centers.
Experience in consulting, technical consulting in a customer-facing role, with solid results working with a variety of different types of customers, engineers, and business.
Knowledge of other AI frameworks, products, or solutions such as TensorFlow.
Ability to lead and organize the design and implementation of AI-based custom developed cloud solutions.

About the job

These scalable reusable solutions accelerators enable Google Cloud Platform (GCP) customers to deploy Generative AI solutions easily and with high accuracy. We collaborate with product teams and bridge gaps in products using this repeatable solutions accelerator methodology. Examples of reusable artifacts include "talk to docs", "talk to data", "talk to code", etc. We also build automated prompt optimization tools. Finally, we also work with Google Deepmind and other research teams to make Gemini suitable for enterprise use cases when accessed from Vertex AI.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

Collaborate cross-functionally with Google Cloud AI teams (e.g., product, engineering, sales, professional services, learning, etc.).
Solve complex customer use cases using Cloud AI conversational products to drive broad customer adoption, creates reusable assets (e.g., code, toolkits, training), and deliver training for new product features or solutions for customers, partners, and field teams.
Discuss functional, technical, and basic commercial topics with customer stakeholders (e.g., developers, line managers) and empathize, shape, and influence them.
Work closely with customer stakeholders as a trusted advisor and provides expert guidance on critical solution decisions.

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About The Company

Google

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.