Presales AIML GCP Architect

Skills : Presales, GCP, AIML, Agentic AI, Proposal Building and Solutioning

Role & responsibilities

This role requires mastery over GCP infrastructure combined with expertise in AI/ML services such as Vertex AI, Gemini Enterprise, and agentic AI workflows.

The architect will lead workshops, craft high and low-level designs, collaborate with diverse stakeholders, and drive cloud and AI adoption aligned with business goals.

This role suits enterprises seeking a visionary architect who can integrate advanced generative AI capabilities within Google Cloud infrastructure, drive innovation, and deliver transformative cloud solutions at scale with technical precision and strategic insight.

Qualifications & Certifications:

• Bachelors degree in IT/ Engineering/MBA or other management qualification.
• GCP Architect Certification
• Kubernetes Certification [CKA CKAD etc.]
• Terraform Associate

GCP Services-Focused Responsibilities

• Lead end-to-end design, architecture, and deployment of scalable, secure, and resilient Google Cloud infrastructure, including compute, GKE , Cloud Run, Storage, networking, IAM, and security solutions.
• Respond to RFIs/RFPs and drive proactive engagements with various customers in Presales phase.
• Build Solution documents and Proposals in Presales stage.
• Develop and deliver high-level design (HLD), low-level design (LLD) documents, architectural blueprints, and comprehensive documentation guiding implementation teams.
• Architect & implement generative AI & ML solutions using GCP AI services such as Vertex AI, Gemini Enterprise LLMs, AutoML, and agentic AI workflows that enable autonomous decision-making and intelligent automation.
• Conduct technical workshops, solution walkthroughs, and knowledge transfer sessions to foster understanding and alignment among business, security, and engineering teams.
• Drive cloud migration strategies, especially hybrid and large-scale enterprise migrations to GCP, ensuring minimal disruption and data integrity.
• Mentor Team Members, lead architectural reviews, and act as a trusted advisor for complex cloud and AI challenges.