AI Architect

Netlink Computer Inc


Date: 5 hours ago
City: Bhopāl, Madhya Pradesh
Contract type: Full time
  • Design and define the overall architecture for AI, Machine Learning, and Generative AI solutions across the organization.
  • Translate business requirements into scalable AI/ML solutions and technical architectures.
  • Lead the design and development of end-to-end AI systems including data pipelines, model development, and deployment.
  • Select appropriate AI frameworks, tools, and cloud platforms for building robust AI solutions.
  • Collaborate with data scientists, data engineers, and application developers to implement AI-driven applications.
  • Establish best practices for AI development, model governance, security, and scalability.
  • Guide teams on MLOps practices including model training, versioning, monitoring, and lifecycle management.
  • Integrate AI solutions with existing enterprise systems, APIs, and business applications.
  • Evaluate and adopt emerging technologies such as Generative AI, LLMs, and advanced analytics tools.
  • Provide technical leadership, mentorship, and architectural guidance to AI and engineering teams.
  • Ensure AI solutions meet performance, reliability, and compliance standards.
  • Drive innovation by identifying opportunities to leverage AI for business process improvement and decision-making.
  • Work closely with stakeholders to align AI strategies with business goals and digital transformation initiatives

Job Category: AIML

Job Type: Full Time

Job Location: Bhopal

Experience: 7-12 years

  • Design and define the overall architecture for AI, Machine Learning, and Generative AI solutions across the organization.
  • Translate business requirements into scalable AI/ML solutions and technical architectures.
  • Lead the design and development of end-to-end AI systems including data pipelines, model development, and deployment.
  • Select appropriate AI frameworks, tools, and cloud platforms for building robust AI solutions.
  • Collaborate with data scientists, data engineers, and application developers to implement AI-driven applications.
  • Establish best practices for AI development, model governance, security, and scalability.
  • Guide teams on MLOps practices including model training, versioning, monitoring, and lifecycle management.
  • Integrate AI solutions with existing enterprise systems, APIs, and business applications.
  • Evaluate and adopt emerging technologies such as Generative AI, LLMs, and advanced analytics tools.
  • Provide technical leadership, mentorship, and architectural guidance to AI and engineering teams.
  • Ensure AI solutions meet performance, reliability, and compliance standards.
  • Drive innovation by identifying opportunities to leverage AI for business process improvement and decision-making.
  • Work closely with stakeholders to align AI strategies with business goals and digital transformation initiatives

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