GCP Solutions Architect

HMG AMERICA LLC; United States; Remote; CAD 120,000 - 180,000; Full time

Job summary

HMG AMERICA LLC is seeking a senior Solution Architect to own end-to-end architectural design for multi-agent AI platforms. You will work with AI, data, and platform engineers, prototyping and documenting blueprints while obtaining formal IT approvals.

You will lead client engagements with IT governance, security reviews, and stakeholder alignment, shaping integrations to connect AI runtimes with legacy systems and APIs.

Qualifications

• 10+ years of enterprise software architecture experience.
• Experience with cloud-native platforms and API-led integrations.
• Leadership in client-facing architectural engagements.

Responsibilities

• Define end-to-end multi-agent architecture for AI platforms.
• Lead client IT governance and security reviews.
• Document architectural decisions registry.
• Design secure middleware integrations to connect AI runtimes with enterprise systems.
• Architect state management for low-latency across channels.
• Develop proof-of-concept integrations to validate architectures.

Skills

Enterprise architecture

Cloud architecture

APIs & integrations

Client-facing leadership

Security & IAM

Education

Google Cloud Professional Cloud Architect

Bachelor’s in CS/SE

Tools

Gemini GEAP

Gemini GECX

Dialogflow CX

Vertex AI Agent Builder

Twilio API

Apigee

Job description

Location - Remote (Anywhere in USA OR Canada)

Hire - Full time

Job Description:

Role Summary

The Solution Architect is the senior technical authority responsible for the end-to-end architectural design, client IT approval, and technical governance of multi-agent AI platforms. Working alongside dedicated AI, Integration/Data, and Platform engineers, this role bridges the gap between client business needs and technical execution. The architect is hands-on in prototyping and whiteboarding, and primarily accountable for defining sound blueprints, securing formal IT approvals, and maintaining a transparent log of technical decisions and trade-offs.

Key Responsibilities

• Create and document the end-to-end multi-agent solution architecture, serving as the technical blueprint for the dedicated AI, Data, and Platform engineers.
• Lead all technical engagements with client IT, security, and governance teams to present architectures, discuss design trade-offs, and secure formal implementation approvals.
• Maintain a formal registry of key architectural decisions, technology selections, and trade-off rationales to ensure continuous client alignment.
• Design robust integration patterns to connect AI runtimes with legacy enterprise platforms, transactional databases, and third-party APIs via secure middleware.
• Architect distributed state-management and low-latency patterns to ensure seamless user experiences across voice, SMS, and web channels.
• Build targeted, hands-on proof-of-concept integrations to validate novel architectural patterns and technical feasibility before full-scale development begins.

Required Skills and Experience

• 10+ years of enterprise software architecture experience, with a proven track record of designing and deploying cloud-native platforms.
• Hands-on architectural experience with the Gemini Enterprise Agent Platform (GEAP) and Gemini Enterprise CX (GECX), including Agent Runtime and multi-agent orchestration.
• Proven ability to act as the lead client-facing architect, navigating complex IT governance, security reviews, and stakeholder alignment.
• Strong background designing event-driven and API-led integrations to connect cloud environments with legacy transactional systems.
• Deep understanding of enterprise cloud security and IAM, including VPC service perimeters, data privacy, and secure credential propagation.
• Experience guiding and translating high-level architectures into clear, actionable guidance for specialized AI, data, and platform engineers.

Preferred Qualifications

• Google Cloud Professional Cloud Architect or similar professional cloud certifications.
• Direct experience with specialized configuration suites such as GCP CX Agent Studio (Dialogflow CX) or Vertex AI Agent Builder.
• Experience with real-time streaming protocols (WebSockets, gRPC) and telephony gateways (e.g., Twilio, CPaaS).
• Experience deploying and securing enterprise APIs through gateway management platforms like Apigee.
• Practical understanding of distributed caching layers (such as Redis/Memorystore) used for conversational state tracking.