Senior Consultant

Key Responsibilities • Deliver projects within the assigned practice to meet platform availability, reliability and resilience requirements. • Translate business requirements into platform infrastructure designs. • Work with service providers to design, deploy and configure resilient, available and secure AI infrastructure. • Ensure compliance with the organization’s Enterprise Architecture and Security Standards, as well as IM8 and AI Policies. • Act as the point-of-contact for new AI product initiatives, supporting system design, integration, acceptance and performance testing. • Manage AI platform operations and address queries from Data Scientists and Product Managers. • Improve operational runbooks, SOPs and adhere to enterprise and compliance mandates. • Continually improve AI platform experience by implementing new features and enhancements. • Continually simplify product development and operations through automation and building reusable services. • Assist in AI Platform design review and improvement of AI, OS, container and database security standards. • Onboard hosting environments by designing, setting up, configuring, implementing, testing and commissioning the required infrastructure. • Manage system architecture, resource planning, platform performance, and hosting across servers, operating systems, and containers, excluding hypervisor and storage layers. • Implement comprehensive infrastructure security controls and compliance requirements through Terraform code, following AWS security best practices and regulatory standards. • Create and maintain detailed documentation, coding standards, and reusable Terraform modules for cloud infrastructure components. • Provide technical leadership and mentorship on Terraform best practices, code reviews, and infrastructure design patterns. Requisites • Strong written and verbal communication skills, with the ability to pitch ideas, influence stakeholders and balance strategic perspective with business needs and challenges. • At least 15-20 years in Cloud Solutioning out of which 5+ years in building and maintaining AI platforms on Cloud Infrastructure • Hands-on experience building, securing and operating enterprise Data Science and AI platforms on AWS or in on-premises environments. • Ability to assess project and compliance requirements and develop practical, sustainable solutions. • Hands-on experience building and operating DevSecOps, MLOps, and/or LLMOps pipelines. • Hands-on experience with AI and container services, LLM inference and Linux preferred. • Deep expertise in AWS services and architecture, including but not limited to EC2, VPC, IAM, S3, RDS, Lambda, CloudFormation, and AWS Organizations. • Proven experience implementing AWS Landing Zones and multi-account strategies using Terraform. • Strong proficiency in scripting languages, particularly Python and Bash, for automation and integration with Terraform workflows. • Comprehensive understanding of AWS security services, compliance frameworks, and infrastructure security best practices. • Experience working with Identity & Access Management services (e.g. Entra ID, AWS Cognito and AWS IAM), and Monitoring & Observability services (e.g. CloudWatch, Splunk and Elastic) are advantageous. • Knowledge of PostgreSQL, vector databases, object storage, and the processing of structured and unstructured datasets is advantageous. • Good understanding of AI, application and infrastructure security risks and controls