Gen AI Architect- Carrier
10 years of experience in the IT industry.7 years of experience in AI/ML, with a focus on building and deploying production-grade solutions.3 years of experience in Generative AI, including working with LLMs, diffusion models, and other GenAI technologies.Primary responsibilities:
• Strategic Leadership:o Define and articulate Carrier's overall GenAI strategy, aligning it with business objectives and IT roadmap.o Identify and evaluate emerging GenAI trends, technologies, and best practices.o Develop and maintain a comprehensive GenAI architecture roadmap.o Provide thought leadership and guidance on the ethical and responsible use of GenAI.o Collaborate with business stakeholders to identify and prioritize GenAI use cases.• Solution Architecture & Design:o Design and architect scalable, reliable, and secure GenAI platforms and solutions.
o Define the technical specifications for GenAI applications, including data pipelines, model training, deployment, and monitoring.o Lead the selection and evaluation of appropriate GenAI tools, frameworks, and cloud services.o Develop and maintain architecture patterns and guidelines for GenAI development.o Ensure compliance with industry standards and regulations.• Agentic AI Expertise:o Lead the design and implementation of Agentic AI systems to automate complex tasks and improve decision-making.o Develop architectures for integrating LLMs with external tools, APIs, and knowledge bases to create autonomous agents.o Define evaluation metrics and testing strategies for Agentic AI systems.o Research and implement advanced techniques for agent reasoning, planning, and execution.• LLM Evaluation & Optimization:o Establish and implement robust LLM evaluation frameworks to assess model performance, bias, and safety.o Define metrics for evaluating LLM performance on specific tasks, such as text generation, summarization, and question answering.o Conduct rigorous testing and benchmarking of LLMs to identify areas for improvement.o Implement techniques for fine-tuning and optimizing LLMs for specific use cases.• LLMOps & Deployment:o Design and implement LLMOps pipelines for automating the deployment, monitoring, and management of LLMs.o Define infrastructure requirements for running LLMs at scale.o Implement monitoring and alerting systems to ensure the reliability and performance of LLM deployments.o Develop strategies for managing model versions and ensuring reproducibility.o Collaborate with DevOps teams to automate the deployment and scaling of LLM infrastructure.• Production-Grade AI Solutions:o Lead the development and deployment of production-grade AI solutions, ensuring scalability, reliability, and security.o Implement best practices for AI model monitoring, retraining, and governance.
o Work closely with data engineers, data scientists, and software engineers to deliver end-to-end AI solutions.o Ensure compliance with security and regulatory requirements.o Optimize AI models for performance and cost efficiency.• Technical Leadership & Mentorship:o Provide technical leadership and mentorship to AI/ML engineers and data scientists.o Stay abreast of the latest advancements in AI/ML and GenAI technologies.o Present technical findings and recommendations to senior management.o Promote a culture of innovation and continuous learning within the AI/ML team.• Collaboration & Communication:o Work closely with business stakeholders, product managers, and engineering teams to define requirements and deliver solutions.o Effectively communicate technical concepts to both technical and non-technical audiences.o Participate in industry conferences and events to share knowledge and network with peers.o Build strong relationships with vendors and partners in the AI/ML ecosystem.• Data Governance and Security:o Ensure that all AI/ML solutions comply with Carrier's data governance and security policies.o Implement appropriate security measures to protect sensitive data.o Work closely with the security team to identify and mitigate potential risks.
