Solutions Acceleration Architect, Google Cloud

Google LLC; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Google LLC in Bengaluru, India is seeking a senior AI/ML solutions architect to lead design and development of cutting‑edge prototypes using data, analytics, AI, and software engineering. You will mentor team members and influence strategic direction of solution-building efforts for Google Cloud customers.

Responsibilities include translating complex customer needs into actionable AI roadmaps, collaborating with stakeholders, and presenting to executives.

Qualifications

• 6 years of cloud computing experience with ML architecture, software development and model deployment in a client-facing or consulting role.
• Experience engaging with and presenting to technical stakeholders and executive leaders.
• Experience programming/scripting in Python.
• Experience developing and deploying data solutions.

Responsibilities

• Lead design and development of cutting-edge prototypes using data, analytics, AI and software engineering.
• Mentor team members and contribute to strategic direction of solution-building efforts.
• Translate ambiguous customer requirements into AI roadmaps and architectures.

Skills

6 years cloud computing experience in:

ML architecture

Software development

Model deployment (customer-facing)

Stakeholder engagement

Python programming

Data solutions deployment

Education

Bachelor's degree or equivalent practical experience

Tools

Python

Job description

About the job

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

The APAC Google Forge Team partners with customers to bring their goals to life. We collaborate closely to understand their challenges and ideas, then design and build practical working solutions using data, analytics, AI, and software engineering. Our goal is to demonstrate how these technologies can work together to achieve impactful business results.

In this role, you will lead the design and development of cutting-edge prototypes, demonstrating the transformative power of data, analytics, AI, and software engineering to solve complex business challenges for our customers. You will play a key role in mentoring team members and contributing to the strategic direction of our solution-building efforts.

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.

Preferred Working Locations

• Bengaluru, Karnataka, India
• Gurgaon, Haryana, India
• Mumbai, Maharashtra, India

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 6 years of experience in cloud computing, with a focus on machine learning architecture, software development, and model deployment in a customer‑facing or consulting role.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.
• Experience in programming/scripting languages such as Python.
• Experience developing and deploying data solutions.

Preferred qualifications:

• Experience translating ambiguous customer requirements into actionable AI roadmaps, defining the technical architecture for fine‑tuning, Retrieval‑Augmented Generation (RAG), and custom model development.
• Experience in architecting and developing software or infrastructure for scalable, distributed systems.
• Proven track record of managing stakeholder expectations and building consensus around complex AI initiatives, including navigating discussions on AI ethics, model bias, and return on investment (ROI).
• Understanding of the AI/ML landscape, including familiarity with model evaluation frameworks, prompt engineering, and the integration of third‑party foundation models.