Generative AI Solutions Architect (Gemini Enterprise & Google Cloud Platform)

Prabhav Services Inc.; Washington (District of Columbia); Remote; USD 96,000 - 165,000; Full time

Job summary

Prabhav Services Inc. is seeking a Generative AI Solutions Architect (Gemini Enterprise & Google Cloud Platform) for a remote role on a 6-12+ month contract, in PST hours.

The candidate will design, develop, and deploy AI-powered agents to automate business processes and enable knowledge management and customer-facing solutions. You will build multi-agent workflows, optimize prompts, and ensure security and governance while integrating with enterprise systems using Vertex AI, BigQuery, Cloud

Qualifications

• Hands-on experience building and deploying agents using Gemini Enterprise.
• Strong understanding of agent architectures and AI workflow orchestration.
• Deep expertise in Google Cloud Platform services and integration with enterprise data.

Responsibilities

• Design, develop, and deploy AI-powered agents using Gemini Enterprise to support business automation, knowledge management, and customer-facing solutions.
• Build agentic workflows leveraging LLMs, retrieval-augmented generation, enterprise data sources, and conversational AI.
• Architect and implement scalable AI solutions across the Google Cloud Platform ecosystem.
• Integrate Gemini Enterprise solutions with enterprise applications, APIs, databases, and cloud services.
• Collaborate with stakeholders to identify AI use cases and translate requirements into technical solutions.
• Develop and optimize prompts, orchestration frameworks, and agent reasoning capabilities.
• Ensure security, governance, compliance, and responsible AI practices are incorporated.
• Monitor, troubleshoot, and enhance deployed AI applications and agent-based systems.
• Stay current with emerging AI technologies and GCP innovations.

Skills

Gemini Enterprise

GCP Vertex AI

Agent architectures

Prompt engineering

Python/Java/JS

REST APIs

Kubernetes (GKE)

Security & privacy

Stakeholder management

Cloud integration

Tools

Vertex AI

BigQuery

Cloud Run

Cloud Functions

Cloud Storage

Pub/Sub

IAM

API Gateway

Kubernetes Engine (GKE)

Job description

Job Title: Generative AI Solutions Architect (Gemini Enterprise & Google Cloud Platform)
Location: Remote Work PST time zone
Duration: 6-12+ months
Required Skills

• Key Responsibilities
• Design, develop, and deploy AI-powered agents using Gemini Enterprise to support business automation, knowledge management, and customer-facing solutions.
• Build agentic workflows that leverage large language models (LLMs), retrieval-augmented generation (RAG), enterprise data sources, and conversational AI capabilities.
• Architect and implement scalable AI solutions across the Google Cloud Platform ecosystem.
• Integrate Gemini Enterprise solutions with enterprise applications, APIs, databases, and cloud services.
• Collaborate with business stakeholders to identify AI use cases and translate requirements into technical solutions.
• Develop and optimize prompts, orchestration frameworks, and agent reasoning capabilities to improve performance and accuracy.
• Ensure security, governance, compliance, and responsible AI practices are incorporated into all solutions.
• Monitor, troubleshoot, and enhance deployed AI applications and agent-based systems.
• Stay current with emerging AI technologies, Google Cloud Platform innovations, and industry best practices.
• Required Qualifications
• Proven hands-on experience building and deploying agents using Gemini Enterprise.
• Strong understanding of agent architectures, multi-agent systems, prompt engineering, and AI workflow orchestration.
• Deep expertise within the Google Cloud Platform ecosystem, including services such as:
• Vertex AI
• BigQuery
• Cloud Run
• Cloud Functions
• Cloud Storage
• Pub/Sub
• IAM
• API Gateway
• Kubernetes Engine (GKE)
• Experience integrating AI solutions with enterprise systems and data platforms.
• Strong programming skills in Python, Java, or JavaScript.
• Experience with REST APIs, microservices, and cloud-native application development.
• Knowledge of AI governance, security, and data privacy best practices.
• Excellent problem-solving, communication, and stakeholder management skills.