AI Conversation Designer optimizing voice AI agents for trade businesses to enhance customer interactions. Leading design, testing, and continuous improvement for effective AI conversations.
About the role
- 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
Benefits
- world-class benefits
- highly competitive compensation
- disproportionate rewards for top performers
- flexibility and support for you to thrive
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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