24 days ago
Coimbatore, IndiaStaff+
Responsibilities
- Own end-to-end architecture and design of Snowflake data and AI infrastructure, including warehouses, Snowpark workloads, secure data architecture, pipelines, model integration, and AI application enablement.
- Design and tune Snowflake warehouses, tasks, streams, Snowpark services, Cortex capabilities, Streamlit applications, and cloud integrations for performance, scale, governance, security, and cost efficiency.
- Evaluate architecture alternatives across compute, networking, storage, orchestration, model serving, observability, security, compliance, cost, and operational complexity.
- Lead architecture assessments and reviews, identify risks and optimization opportunities, and recommend remediation actions.
- Define roadmap inputs, capacity planning models, scaling strategies, cost forecasts, and performance improvements for AI infrastructure.
- Design deployment, automation, and release strategies for AI systems, models, data pipelines, and platform components.
- Establish monitoring and observability practices across infrastructure and MLOps, including SLAs, SLOs, alerting, and performance and cost tracking.
- Integrate AI/ML systems into enterprise environments while meeting interoperability, security, compliance, regulatory, and client standards.
- Collaborate with clients, stakeholders, architects, and engineering teams to translate requirements into architecture standards and actionable solutions.
- Set technical direction, mentor engineers, review designs and code, and promote engineering best practices.
Requirements
- Minimum 12 years of professional experience is required.
- Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related engineering field is required.
- At least 4 years of experience building, monitoring, troubleshooting, designing, and operating AI/ML infrastructure, cloud platforms, data platforms, model deployment pipelines, or large-scale engineering solutions.
- At least 4 years of programming or scripting experience with languages such as Python, Java, C++, Bash, PowerShell, or equivalent.
- Experience with data pipeline and workflow tools such as Apache Airflow, Kubeflow, managed orchestration services, or platform-native workflow tooling.
- At least 4 years of AI/ML infrastructure engineering or related experience on a hyperscaler or enterprise platform for large-scale solutions.
- Hands-on experience with Snowflake warehouses, databases, schemas, secure data sharing and access controls, Snowpark, Cortex capabilities, Streams, Tasks, Streamlit, and cloud integrations.
- Experience architecting scalable data and feature pipelines, AI application integrations, model-enablement patterns, governance, query and warehouse optimization, and secure data access.
- Working knowledge of SQL, Python, dbt, Terraform, DataOps, MLOps and AI enablement patterns, observability, and incident response practices.
- Proven experience leading AI projects or engineering workstreams, managing multiple initiatives, evaluating AI technologies and architecture patterns, and producing architecture decision records, reference implementations, standards, runbooks, and reusable platform patterns.
- Strong problem-solving, communication, collaboration, and stakeholder-alignment skills are required.
- Snowflake certifications such as SnowPro Advanced Architect or SnowPro Advanced Data Engineer are preferred.
- Experience in regulated or compliance-sensitive industries and knowledge of Snowflake governance, FinOps, vendor collaboration, and production support models are preferred.
Categories
Data EngineeringML Engineering
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.