About the Job/Role

As an AI/ML Solution Architect, you will combine deep technical expertise with presales skills to design and deliver AI/ML solutions on Google Cloud and multi-cloud platforms. This role involves engaging with clients to explore possibilities in generative AI, MLOps, and cloud-native tools, while shaping transformative initiatives that demonstrate technical feasibility and business value.

Roles & Responsibilities

Partner with sales and customer engineering teams during presales to identify AI/ML opportunities and craft tailored architectures.
Design scalable, cloud-native AI/ML solutions using GCP tools (e.g., Vertex AI, LangChain, OpenAI APIs, MLOps frameworks).
Lead technical workshops, demos, and architecture sessions to communicate value and align stakeholders.
Review solution proposals for scalability, integrity, and best-practice alignment.
Continuously evaluate emerging GenAI tools and frameworks to accelerate innovation.

Qualifications Required

Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred).
Strong hands-on experience with cloud platforms, especially Google Cloud Platform (AWS/Azure a plus).
Proficiency in AI/ML tools and systems: TensorFlow, PyTorch, Vertex AI, OpenAI, LangChain, MLOps pipelines.
4–5 years of experience in data science, software development, or machine learning.
Strong programming skills in Python, Java, or JavaScript.
Proven track record of applying ML technologies to real-world industry use cases, with knowledge of data lifecycle and cloud deployment.
Excellent client-facing communication and solution storytelling abilities, ideally with presales or consulting background.

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