1 month ago

AI Solution Architect - Google Cloud Platform GCP

CGI

On Site
Full Time
₹0
Bengaluru, Karnataka, India
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Job Overview

Job TitleAI Solution Architect - Google Cloud Platform GCP
Job TypeFull Time
Offered Salary₹0
LocationBengaluru, Karnataka, India

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Job Description

Position Overview

We are seeking an experienced AI Solution Architect with strong hands-on expertise in designing and deploying AI/ML solutions on Google Cloud Platform (GCP). This role at CGI involves end-to-end AI architecture, close collaboration with both business and engineering teams, and ultimately owning the delivery of production-grade AI solutions.

Your Future Duties and Responsibilities

As an AI Solution Architect - Google Cloud Platform GCP, your key responsibilities will include:

  • Design end-to-end AI/ML architectures on GCP.
  • Implement AI solutions using Vertex AI, BigQuery ML, and Generative AI services.
  • Define MLOps pipelines and comprehensive deployment strategies.
  • Guide teams on developing scalable, secure, and cost-optimized AI solutions.
  • Collaborate with various stakeholders to effectively convert complex business problems into viable AI use cases.

Required Qualifications To Be Successful In This Role

To excel in this role, candidates must possess:

  • Strong hands-on experience with Google Cloud Platform.
  • Proven ability in training and mentoring talent within AI/ML domains.
  • Extensive hands-on AI/ML solution architecture experience.
  • Proficiency with Vertex AI, including training, pipelines, and deployment.
  • Strong command of Python and popular ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
  • Demonstrated experience deploying models to production environments using services like Cloud Run or Google Kubernetes Engine (GKE).

Good to have qualifications include:

  • Experience with Generative AI and Large Language Models (LLMs), including techniques like Retrieval Augmented Generation (RAG), embeddings, and APIs, across both cloud and on-premises setups.
  • Relevant GCP certifications, such as Architect or ML Engineer.

Life at CGI

Life at CGI is rooted in ownership, teamwork, respect, and belonging. Here, you’ll reach your full potential because you are invited to be an owner from day one as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. Your work creates value; you’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team—one of the largest IT and business consulting services firms in the world.

Key skills/competency

  • AI/ML Architecture
  • Google Cloud Platform
  • Vertex AI
  • MLOps
  • Python
  • TensorFlow
  • PyTorch
  • Generative AI
  • BigQuery ML
  • Deployment Strategies

Tags:

AI Solution Architect
AI
ML
Solution Architecture
GCP
MLOps
GenAI
Stakeholder Collaboration
Deployment
Mentoring
Design
Google Cloud Platform
Vertex AI
BigQuery ML
Python
TensorFlow
PyTorch
Scikit-learn
Cloud Run
GKE
LLM
RAG

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How to Get Hired at CGI

  • Research CGI's Culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor, focusing on "ownership" and "teamwork" in a global IT consulting environment.
  • Tailor Your Resume: Customize your resume to highlight extensive experience in AI/ML solution architecture, particularly with Google Cloud Platform and Vertex AI, aligning with the "AI Solution Architect - Google Cloud Platform GCP" role at CGI.
  • Showcase GCP Expertise: Prepare to demonstrate hands-on experience with Vertex AI, BigQuery ML, GenAI services, and MLOps pipelines, emphasizing how you've designed "production-grade AI solutions" on GCP.
  • Highlight Problem-Solving Skills: Be ready to discuss how you've translated "business problems into AI use cases" and guided teams on "scalable, secure, cost-optimized AI solutions."
  • Network with CGI Professionals: Connect with current or former CGI Partners on LinkedIn to gain insights into their "Life at CGI" and the specific challenges faced by "AI Solution Architect - Google Cloud Platform GCP" professionals.

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