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

AI Architect

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