Sr. Delivery Consultant (AI Engineering)

TL;DR

Sr. Delivery Consultant (AI Engineering): Delivering complex technical consulting engagements within AWS Professional Services, focusing on software engineering, Generative AI, and cloud architecture. Focus on designing and developing cloud-native solutions using AWS services, including hands-on software development, architecture design, and implementation of best practices in modern development methodologies.

Location: AUS, WA, Perth

Company

hirify.global Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform.

What you will do

• Design and develop cloud-native solutions using AWS services, including software development and architecture design.
• Provide solution implementations including AI/ML and DevOps practices.
• Build and implement distributed computing solutions using AWS services.
• Guide customer and partner teams in software engineering practices and architectural decisions.
• Develop innovative solutions using AWS AI/ML services.

Requirements

• 5+ years of cloud architecture and solution implementation experience.
• 5+ years of software development life cycle (SDLC) experience.
• 5+ years of hands-on development experience with modern programming languages (e.g. TypeScript, JavaScript, Java, Kotlin, Python, .NET).
• Experience with Infrastructure as Code (e.g. AWS CDK, CloudFormation, Terraform), CI/CD pipelines (AWS CodeBuild, GitHub Actions), and Dev-ops practices.
• Experience with distributed systems, micro-services architecture, and event-driven patterns.

Nice to have

• Strong background in API design and implementation (e.g. REST, GraphQL, gRPC).
• Knowledge of vector databases, retrieval-augmented generation, embedding pipelines.
• Understanding of AI agent architectures, development patterns, and multi-agent systems.
• Hands-on experience with containerization and orchestration technologies (e.g. Docker, hirify.global ECS, Kubernetes).
• Strong proficiency in observability and monitoring tools (e.g. OpenTelemetry, Datadog, Splunk, New Relic, Prometheus, Grafana).

Culture & Benefits

• AWS values diverse experiences.
• Inclusive team culture with employee-led and company-sponsored affinity groups.
• Endless knowledge-sharing, mentorship, and career-advancing resources.
• Flexibility as part of the working culture.