AI Architect (NonCloud Large Language Models)
Chennai (Hybrid)
Seeking a visionary AI Architect to lead the strategic implementation of noncloud 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 3040 to client locations including Riyadh.
Youll be responsible for leading the entire lifecycle of noncloud LLM deployments from strategic planning and model selection to ongoing monitoring and optimization.
Key Responsibilities
- Identify and prioritize highimpact AI use cases that align with organizational goals.
- Develop a phased roadmap for LLM implementation considering scalability and longterm sustainability.
- Conduct costbenefit analyses to demonstrate the return on investment (ROI) for noncloud LLM deployments.
- Select and finetune LLMs tailored to meet specific enterprise requirements.
- Design robust inference pipelines that ensure high performance and seamless integration with existing onpremise 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 noncloud LLMs.
- Create feedback mechanisms for continuous improvement of AI solutions.
- Automate pipelines for LLM training deployment and regular updates on onpremise infrastructure.
- Monitor key performance indicators (KPIs) to evaluate model performance and optimize processes.
- Manage onpremise infrastructure to meet the specific needs of noncloud 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 onpremise LLM deployments.
Qualifications
- 1015 years of experience in artificial intelligence machine learning or a related field.
- Proven experience with noncloud 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 3040 to client locations