Senior Architect – Gen AI, ML
Gartner
full-time
Posted on:
Location Type: Hybrid
Location: Chennai • 🇮🇳 India
Visit company websiteJob Level
Senior
Tech Stack
AWSAzureCloudNumpyPandasPythonScikit-Learn
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI techniquesgenerative AI techniquesmachine learning modelsdata pipelinesdata solutionsdata acquisitiondata processingdata visualizationPythonagentic AI frameworks
Soft skills
problem-solvingcommunicationstakeholder managementmentoringcollaborationleadershipadaptabilitystrategic thinkingtechnical excellenceteamwork