CG

AI Solution Architect

CGI· 51 open roles

Remote RemoteFull-time1 weeks ago
Salaryest.
$120,000 - $200,000
Experience
Mid
Job Type
Full-time
Posted
1 weeks ago
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About This Role

The AI Solution Architect designs and architects end-to-end artificial intelligence and machine learning solutions, aligned with clients' business needs and strategic objectives. This role involves assessing client needs and proposing tailored AI architectures. The AI Solution Architect works remotely and defines technology choices, justifying trade-offs to stakeholders. The role requires collaboration and communication with clients and stakeholders.

Key ResponsibilitiesAI-extracted

  • 1
    Design and architect end-to-end artificial intelligence and machine learning solutions, aligned with clients' business needs and strategic objectives.
  • 2
    Assess client needs and propose tailored AI architectures, including large language models, RAG, AI agents, and MLOps pipelines.
  • 3
    Define technology choices, such as cloud platforms, ML frameworks, and generative AI tools, and justify trade-offs to stakeholders.
  • 4
    Collaborate with clients and stakeholders to understand their needs and propose effective AI solutions.
  • 5
    Develop and maintain expertise in AI and ML technologies, including large language models and MLOps pipelines.

RequirementsAI-extracted

  • Typically: Strong understanding of artificial intelligence and machine learning concepts, including large language models and MLOps pipelines.
  • Typically: Experience with cloud platforms, ML frameworks, and generative AI tools.
  • Typically: Excellent communication and collaboration skills, with the ability to work with clients and stakeholders.
  • Typically: Strong problem-solving skills, with the ability to assess client needs and propose effective AI solutions.
  • Typically: Ability to work remotely and manage time effectively.

Perks & BenefitsAI-extracted

Typically: Health coverage and other standard employee benefits.
Typically: Paid time off and vacation days.
Typically: Opportunities for professional development and growth in the field of AI and ML.
Typically: Flexible work arrangements, including remote work options.
Typically: Access to cutting-edge technologies and tools in the field of AI and ML.

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