Design and architect innovative GenAI solutions leveraging machine learning algorithms, neural networks, deep learning techniques, and the Azure AI/ML stack
Work closely with cross-functional teams & stakeholders to understand solution requirements and communicate them for delivery
Select appropriate AI services, define architecture patterns, and ensure the alignment with business goals
Collaborate with the Cloud, Big Data, Integration, Infrastructure, Network & Server teams to build robust, enterprise-quality solutions
Assist implementation providers to ensure that solutions are delivered on time and within budget
Monitor that all solutions delivered are compliant with ITSEC, PCI, PII, and other standards or policies
Deliver ML/AI solutions that are fully documented, reliable, operable, and sustainable
Ensure ethical considerations are embedded within the design and development of AI systems
Work with Operations to establish standards and processes for hand-off of solutions to Production Support
Contribute to the team environment by facilitating information sharing and team cooperation
Create AI Proof of Concepts and Minimum Viable Products (MVPs) while supporting production deployments
Attend onsite in-person workshops when needed
Requirements & Skills:
Expertise with AI Technologies and GenAI fundamentals
Strong foundation in computer science and experience with machine learning, natural language processing, and data analytics
Understanding of the capabilities and limitations of AI systems for designing effective solutions
Proven history working with both internal and third-party teams across multiple times around the world
Extensive experience with IT solution design and architecture
Skilled in enterprise-scale technical delivery with Azure AI Services including Azure OpenAI, Azure Cognitive Search, Azure Machine Learning, Generative AI (long-chain, llamindex), LLM customization, Open-source AI frameworks, and AI Infrastructure
Hands-on experience working as an IT Solution Architect within large enterprise environments
Familiar with cloud deployments including Azure Cloud, GCP, and AWS
Ability to adapt to new and emerging technologies while solving problems using critical thinking
Curious about the emerging fields of Gen AI & Cognitive Learning, Robotic Process Automation, and Data Science
Comfortable navigating ambiguity, overcoming confusion, and simplifying complex situations
Exposure to working on SAFe Agile projects
Knowledge of Java, Python, Microsoft Power Platform (Automate, Apps, PowerBI), Azure Data Factory, Databricks, Snowflake and Azure DevOps
