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Crayon Data

Compare

3.6

based on 32 Reviews

3 Crayon Data Artificial Intelligence Architect Jobs

AI Architect

Crayon Data

3.6

based on 32 Reviews

10-15 years

Chennai

1 vacancy

AI Architect

Crayon Data

posted 1mon ago

Job Role Insights

Flexible timing

Key skills for the job

Architecting Cloud Computing Artificial Intelligence Machine Learning Auditing Data Security

+ 3 more

Job Description

":"

AI Architect (Non-Cloud Large Language Models)

Chennai (Hybrid)

Seeking a visionary AI Architect to lead the strategic implementation of non-cloud Large Language Models (LLMs) across our organization. As a strategic leader, youll bridge the gap between business objectives and technical innovation, ensuring the successful and sustainable adoption of AI that drives tangible business value.

About The Role

This is a hybrid role with frequent travel (30-40%) to client locations, including Riyadh.

Youll be responsible for leading the entire lifecycle of non-cloud LLM deployments, from strategic planning and model selection to ongoing monitoring and optimization.

Key Responsibilities

Identify and prioritize high-impact AI use cases that align with organizational goals.

Develop a phased roadmap for LLM implementation, considering scalability and long-term sustainability.

Conduct cost-benefit analyses to demonstrate the return on investment (ROI) for non-cloud LLM deployments.

Select and fine-tune LLMs tailored to meet specific enterprise requirements.

Design robust inference pipelines that ensure high performance and seamless integration with existing on-premise systems.

Establish ethical AI frameworks to address bias mitigation and safe deployment practices.

Ensure compliance with global regulations (GDPR, CCPA) and industry standards.

Foster transparency and fairness in AI operations to build trust among stakeholders.

Bridge communication between business, engineering, and data science teams to ensure project success.

Organize training sessions and workshops to upskill team members on non-cloud LLMs.

Create feedback mechanisms for continuous improvement of AI solutions.

Automate pipelines for LLM training, deployment, and regular updates on on-premise infrastructure.

Monitor key performance indicators (KPIs) to evaluate model performance and optimize processes.

Manage on-premise infrastructure to meet the specific needs of non-cloud LLM deployments.

Proactively address data security challenges and mitigate risks associated with compliance breaches.

Develop robust audit trails and protocols for explain ability to ensure accountability and trustworthiness in AI solutions.

Implement security measures tailored for on-premise LLM deployments.
Qualifications

10-15 years of experience in artificial intelligence, machine learning, or a related field.

Proven experience with non-cloud LLM deployments and architectures.

Strong understanding of ethical AI principles and governance frameworks.

Excellent communication and collaboration skills to bridge communication gaps between various teams.

Leadership experience with a proven track record of driving successful AI projects.

Ability to travel frequently (30-40%) to client locations

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