Job Summary
The AI Engineer will develop, implement, and deploy AI-powered solutions, including generative AI models such as ChatGPT and Gemini, to support enterprise initiatives. The role focuses on natural language processing, machine learning, cloud-native development, enterprise search, and Agentic AI solutions to improve operational efficiency, decision-making, and service delivery. The engineer will collaborate with cross-functional teams to understand business requirements and deliver scalable, secure, and reliable AI solutions.
Key Responsibilities
• Lead the design and implementation of scalable, secure cloud architectures for enterprise solutions leveraging large language models (LLMs) from Google and OpenAI.
• Build applications using vector databases, LangChain, and text embeddings.
• Develop and maintain cloud-based solutions that integrate LLMs to enhance search capabilities and user experience.
• Design and implement solutions using Azure technologies, including Azure App Service Environment (ASE), Azure Functions, Azure API Management, Azure Service Bus, Logic Apps, Azure Storage, Azure Cognitive Services, Azure Cosmos DB, Azure Data Factory, Databricks, Azure Data Lake, and caching technologies.
• Provide technical leadership and mentorship to team members, promoting best practices in cloud architecture and LLM integration.
• Ensure compliance with security standards and best practices for cloud architecture and data handling, particularly when processing sensitive information through LLMs.
• Troubleshoot performance and production issues using logging and monitoring tools such as Splunk and Application Insights.
• Apply knowledge of infrastructure design across private and public cloud environments.
• Establish monitoring systems to evaluate the operational efficiency of existing applications and support proactive maintenance.
• Participate in systems design within established frameworks and provide technical direction to team members and contractors.
• Stay current with industry trends, cloud technologies, and advancements in LLMs to improve enterprise search solutions.
• Demonstrate strong leadership, team-building, communication, and mentoring skills, including the ability to explain complex technical concepts to non-technical stakeholders.
• Create detailed architectural documentation and design patterns, ensuring alignment with cloud security standards and compliance requirements.
Required Qualifications
• Degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• At least 3-5 years of experience in AI development and implementation.
• Proficiency in programming languages such as Python.
• Experience with AI frameworks and libraries such as TensorFlow and PyTorch.
• Knowledge of natural language processing and generative AI models.
• Experience with LangChain, LangGraph, and building platform services.
• Experience building solutions leveraging Agentic AI.
• Knowledge and experience with Google Cloud services, Azure technologies, and enterprise search applications.
• Experience in prompt engineering and AI governance.
• Demonstrated experience in cloud-native and hybrid web development projects.
