Insight Global's client in the Data Center industry is seeking a Senior AI Architect/Director will drive Strategy and Architecture and lead the strategic vision, development, and deployment of AI solutions across the enterprise, with a key focus on Retrieval Augmented Generation (RAG) and integration with enterprise data governance frameworks. This role is critical in driving AI innovation, establishing enterprise standards for AI tools, and ensuring the successful delivery of AI and machine learning (ML) solutions that align with business objectives. The ideal candidate will have deep technical expertise in traditional ML techniques, deep learning, and modern Generative AI architectures (e.g., transformers, diffusion models), and will work with commercial models (GPT-4, etc.) as well as open-source models (e.g., Llama2). The Sr Architect will collaborate closely with business leaders to define and execute the AI strategy and roadmap, ensuring alignment with data governance frameworks.
Key Responsibilities:
-AI Strategy & Roadmap: Define and lead the AI strategy and roadmap in collaboration with business stakeholders, ensuring alignment with enterprise goals and data governance frameworks.
-Retrieval Augmented Generation (RAG) Solutions: Design and oversee the implementation of RAG systems, integrating external data sources with AI models to enhance information retrieval and knowledge generation capabilities.
-AI Architecture & Solutions: Develop scalable AI solutions leveraging state-of-the-art architectures such as transformers, diffusion models, and RAG systems, ensuring compliance with enterprise data governance policies.
-Integration with Data Governance: Collaborate with the corporate data governance team to ensure AI solutions are integrated with the company's enterprise data governance framework, focusing on data quality, security, and compliance.
-AI Governance: Establish and maintain enterprise standards for AI architecture, tools, and governance frameworks, ensuring alignment with overall enterprise data governance policies.
-Team Leadership: Contribute to high-performing AI teams, providing mentorship and strategic direction in the development and deployment of AI solutions.
-Model Development: Guide the design, development, and deployment of both commercial and open-source AI models, including transformers, generative models, large language models (LLMs), and RAG implementations.
-Model Fine-Tuning: Oversee the fine-tuning of language models, ensuring they are tailored to specific enterprise needs and integrated seamlessly into AI solutions while maintaining alignment with data governance and compliance standards.
-Collaboration with IT & Business: Partner with IT, business units, and other stakeholders to ensure AI initiatives are aligned with business needs and integrated into the broader enterprise architecture and data governance framework.
-Database Management: Work with SQL and NoSQL databases, ensuring AI models and RAG systems can efficiently access and utilize enterprise data, while adhering to data governance standards.
-Azure & Cloud Integration: Leverage cloud platforms like Azure for AI model deployment, data management, and large-scale AI operations.
-Emerging AI Technologies: Stay abreast of the latest AI trends and tools, such as Langchain, LlamaIndex, and other ecosystem tools critical for AI advancements, with a focus on Retrieval Augmented Generation and data governance compliance.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to
HR@insightglobal.com.
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-15+ years of experience in data, AI, and ML, with a proven track record of delivering enterprise-level AI solutions.
-Advanced understanding of Generative AI architectures, including transformers and diffusion models, and experience in deploying large-scale models.
-Experience with Retrieval Augmented Generation (RAG) systems, including integrating external knowledge bases with AI models.
-Experience with commercial models (e.g., GPT-4, etc.) and open-source models (e.g., Llama2, etc.).
-Expertise in Langchain and LlamaIndex
-Experience with SQL and NoSQL databases and their integration with AI models and RAG systems.
-Familiarity with enterprise data governance frameworks and the ability to integrate AI solutions within these frameworks.
-Familiarity with Azure cloud services and other cloud-based AI deployment platforms.
-Experience with enterprise architecture frameworks (e.g., TOGAF, Zachman) for capturing, maintaining, and aligning AI solution architectures with broader enterprise architecture standards and business objectives.
-Strong business acumen with the ability to translate technical AI concepts into business value.
-Master's degree in Data Science, AI, Computer Science, or a related field
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.