Senior Architect developing AI/ML and data solutions within Gartner's innovative IT team. Leading architectural design and client engagements for enterprise-level applications.
Responsibilities
Deliver client engagements that use AI rapidly, on the order of a few weeks
Build proofs of concept rapidly, to learn and adapt to changing market needs
Support building internal applications for use by associates to improve productivity
Design, architect, and oversee implementation of end-to-end AI/ML and data solutions
Lead the development and deployment of machine learning models, data pipelines, and analytics platforms
Collaborate with business stakeholders to understand requirements and translate them into technical architectures
Evaluate and select appropriate technologies, tools, and frameworks for data engineering, machine learning, and AI initiatives
Guide and mentor data scientists, engineers, and other team members in best practices and technical excellence
Ensure compliance with data governance, privacy, and regulatory requirements
Develop strategies for data acquisition, storage, processing, and visualization
Optimize existing systems for performance, cost, and maintainability
Stay abreast of emerging trends in AI, ML, data engineering, and cloud technologies
Present architectural solutions and roadmaps to senior leadership and business
Requirements
12-15 years of experience in classic AI techniques and at least 1.5 years in generative AI techniques at production level
Experience building applications for knowledge search and summarization
Frameworks to evaluate and compare performance of different GenAI techniques
Measuring and improving accuracy and helpfulness of generative responses
Implementing observability
Design, architect, and oversee implementation of end-to-end AI/ML and data solutions
Experience with agentic AI frameworks, RAG, embedding models, vector DBs
Experience working with Python libraries like Pandas, Scikit-Learn, Numpy, and Scipy
Experience deploying applications to cloud platforms such as Azure and AWS
Solid grasp of building software in a collaborative team setting - use of agile scrum and tools like Jira / GitHub
Proven track record of leading cross-functional teams and delivering complex projects
Excellent problem-solving, communication, and stakeholder management skills
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