Act as SME for enterprise AI services and solutions owned and operated by the team.
Support and integrate AI Solutions across the enterprise using a suite of AI-focused cloud services.
Enable and maintain Amazon Bedrock Capabilities(Agents, Knowledge Bases, etc.).
Develop and support Amazon Bedrock Agentcore for existing and future use cases.
Enable and support Amazon Q Business solutions for enterprise AI use cases.
Develop and support Amazon Quick Suite with focus on agentic workflows.
Support productionizing existing services and patterns enabled by the team.
Support Pattern as a Product framework for reusable cloud solutions.
Apply DevOps and automation-first practices to improve reliability of services and solutions.
Lead Proof of Concepts, KTLO (Keep The Lights On) activities, and CI/CD improvements while providing training and support to optimize cloud infrastructure.
Collaborate closely with Cloud, Security, Architecture, Data Science, and Analytics partners.
Provide guidance and informal mentorship to team members, as appropriate.
Influence platform standards by contributing to reference architectures, reusable patterns, and operational playbooks.

Requirements

Strong communication and collaboration skills, with the ability to translate technical concepts for diverse audiences
Proven analytical and problem-solving skills, with experience assessing trade offs, managing risk, and resolving complex issues
Ability to work independently while contributing effectively within a team environment
Demonstrated alignment to BOLDER behaviours, including:
Driving outcomes through ownership and accountability
Embracing Digital Ways of Working (WOW) and continuous improvement
Applying professional judgment with an enterprise mindset
Hands on experience with AWS development tools (IAM, s3, CloudFormation, Lambda, Service Catalog)
Infrastructure as Code (CloudFormation and/or Terraform)
CI/CD (such as Jenkins) and Git based and Bitbucket based workflows
PowerShell, Python or other shell scripting for automation
Experience supporting AI/ML or analytics platforms
Experience in regulated or security focused environments

Benefits

Wellness programs supporting mental, physical, and financial health
Opportunities to grow across multiple career paths with strong networking potential
A hybrid work model, guided by business and Client needs

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI solutionsAmazon BedrockAmazon Q BusinessAmazon Quick SuiteDevOps practicesCI/CDInfrastructure as CodePowerShellPythonAI/ML platforms

Soft Skills

communication skillscollaboration skillsanalytical skillsproblem-solving skillsindependent workteam contributionownershipaccountabilitycontinuous improvementprofessional judgment