In-Demand Senior applied ai solutions architect, amazon connect, aws, aws applied ai solutions Jobs in Reservoir, Vic

Senior AI Consultant
Codex Consulting —Melbourne VIC
- $140,000 - $200,000 a year
- Full-time
- Hybrid work
- Master's degree
- Databases
- AWS
Quick Apply
6d
Senior Software Architect - AWS
Budgetly —Melbourne VIC
- Up to $200,000 a year
- Full-time
- Remote
- AWS
- AI
- Annual leave
- Work from home
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Founding AI Engineer
ZBOS Technologies —Melbourne VIC
- Part-time
- Hybrid work
- AWS
- APIs
- AI
Quick Apply
Oliver Wyman - Senior Lead AI Engineer - Melbourne
Oliver Wyman —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- Computer Science
- Engineering
Senior Developer
Sciana Health —Melbourne VIC
- $100,000 - $120,000 a year
- Hybrid work
- AWS
- EMR systems
- Software development
Quick Apply
Solutions Architect
InterWorks —Melbourne VIC
- Remote
- Azure
- Computer Science
- SQL
- Health insurance
- Gym membership
Quick Apply
AI Implementation Lead
Metricon —Melbourne VIC
- Full-time
- CRM software
- Customer service
- Analysis skills
10d
ICT Business Development Manager - AWS
Soulbook Pty Ltd —Melbourne VIC
- $105,000 - $140,000 a year
- Full-time
- Management
- Sales
- Business development
- Work from home
Quick Apply
7d
AI Solutions Architect (Azure AI Foundry & Agentic AI)
Avanade —Melbourne VIC
- Azure
- Databases
- AWS
Sr. Specialist Solutions Architect
Databricks —Melbourne VIC
- Azure
- Computer Science
- AWS
Solutions Architect - Contractor
Mindbeam —Melbourne VIC
- Contract
- Hybrid work
- Computer Science
- DevOps
- Engineering
AWS Cloud Architect -Perm/Contract
NCS Australia —Melbourne VIC
- Full-time
- AWS
- Presentation skills
- Parental leave
Quick Apply
Head of Information Technology (APAC)
STACK Infrastructure APAC —Melbourne VIC
- Full-time
- Azure
- Computer Science
- AWS
Quick Apply
3d
Senior Engineer - AI Agentic
Xero —Hawthorn VIC
- Full-time
- Hybrid work
- Microsoft Access
- AWS
- AI
AI Engineer (Senior)
AMP Limited —Melbourne VIC
- Full-time
- Azure
- AWS
- Machine learning
AI ML Engineer
Infosys Singapore & Australia —Melbourne VIC
- Full-time
- Azure
- Management
- Computer Science
Quick Apply
KPMG Delivery Network Solution Lead: AI
KPMG Australia —Melbourne VIC
- Contract
- Hybrid work
- Azure
- Computer Science
- Engineering
- Parental leave
Quick Apply
Senior Security Operations Engineer
RedBear IT Pty Ltd —Docklands VIC
- From $100,000 a year
- Weekend availability
- Hybrid work
- Azure
- Writing skills
- SQL
Quick Apply
9d
Senior Cloud Engineer
Mantel Group —Melbourne VIC
- $150,000 - $180,000 a year
- Full-time
- Hybrid work
- Analysis skills
- Communication skills
- Parental leave
Quick Apply
Senior Full Stack Developer
VicRoads —Melbourne VIC
- Up to $170,000 a year
- Full-time
- Remote
- AWS
- APIs
- Work from home
- Parental leave

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senior applied ai solutions architect, amazon connect, aws, aws applied ai solutions jobs near reservoir, vic

Senior AI Consultant

Codex Consulting
Melbourne VIC

Quick Apply

Job Details

Full-time
$140,000 - $200,000 a year
6 days ago

Qualifications

CI/CD
Cloud architecture
Law
MCP
System architecture
Master's degree
Databases
AWS
Terrafrom
GitHub
APIs
S3
AI

Full Job Description

About Codex

Codex is an Australian technology consultancy delivering high-quality data, cloud, and AI solutions for organisations across sectors including healthcare, energy, and financial services.

We are a high-performing, fast-paced consultancy that values people who bring energy, accountability, and pride in their work. We care deeply about delivery — not just getting things done, but getting them done properly and in ways that genuinely help our clients succeed.

We are also officially Great Place to Work® Certified, reflecting the strong culture we’ve built — one grounded in trust, high standards, ownership, and genuine support for our people.

If you enjoy solving complex technical problems, building intelligent systems from the ground up, and working at the frontier of applied AI, you’ll fit in well here.

The Role

We’re looking for a Senior AI Engineer to design and deliver production-grade, agentic AI systems for enterprise clients.

You might come from:

A strong software engineering background now working with AI systems, or
ML/AI engineering background with strong experience in deploying models into production.

This role is about building reliable, secure, real-world AI systems — not just experimentation. You’ll design and implement autonomous and semi-autonomous AI systems that reason, orchestrate tools, interact with enterprise data platforms, and operate in secure cloud environments.

What You’ll Do

Build Agentic AI Applications

Design and implement LLM-powered applications and AI agents
Build multi-step reasoning workflows with tool use, memory and MCP (Model Context Protocol)
Develop advanced RAG architectures integrating AI models with enterprise data
Engineer robust backend systems that support AI-driven workflows

Production-Grade Engineering

Deploy AI systems into production environments on AWS with evaluation, logging, monitoring, and guardrails
Optimise for reliability, performance, and cost
Apply strong software engineering discipline — testing of prompts/agents, integration tests, validation pipelines, and CI/CD
Strong focus on compliance in production (e.g. content filters, PII redaction, Bedrock Guardrails or equivalent)

Cloud & Architecture

Architect scalable solutions using AWS services such as Bedrock, SageMaker, Lambda, ECS/EKS, Step Functions, and API Gateway
Implement secure IAM, networking, and data access patterns
Contribute to reusable AI and cloud patterns across engagements

Client Delivery

Translate business problems into AI-native solution designs
Act as a trusted technical partner
Work closely with clients and cross-functional delivery teams
Communicate clearly and deliver with accountability

What We’re Looking For

Strong Engineering Foundations

7–10+ years of experience in software engineering, AI engineering, or related fields
Strong Python (or equivalent backend language) experience
Experience building and deploying production systems
Solid understanding of APIs, distributed systems, and modern backend architecture
CI/CD: GitHub Actions or Bitbucket Pipelines; Infrastructure as Code at scale (AWS CDK and/or Terraform)
Testing: unit and integration tests; experience testing non-deterministic AI behaviour (prompts, retrieval, agent flows)

AI Exposure (Practical, Not Just Theoretical)

Experience building LLM-powered applications, RAG systems, or AI-driven features or
Strong interest in applied AI with demonstrable hands-on projects
Understanding of embeddings, vector databases, and model evaluation is highly regarded

Cloud Experience

Experience delivering production workloads on AWS
Familiarity with services such as Lambda, VPC, IAM, S3, Bedrock, or SageMaker
Infrastructure as Code experience (Terraform or similar) is beneficial

GenAI & RAG

GenAI platforms: Amazon Bedrock, OpenAI, Anthropic Claude — model selection and trade-offs
Vector stores: OpenSearch, Amazon OpenSearch Serverless, pgvector, or Pinecone for RAG and semantic retrieval
Advanced RAG: ingestion, chunking strategies (semantic, hierarchical, hybrid), embedding model selection, retrieval tuning, evaluation (recall, precision, latency)
RAG/agent frameworks in production

Agentic AI

Tool use, orchestration, planning/execution patterns, disciplined justification for when to use agents vs simpler flows
MCP: production-grade tool integration and context management; clear boundaries (tool contracts, error handling, fallbacks)

Observability, guardrails, compliance & security

GenAI observability: Langfuse and/or MLflow for tracing, evaluation runs, and lifecycle management
Guardrails in production: content filters, PII redaction, policy checks (e.g. Bedrock Guardrails)
Compliance in production: define and apply data residency, audit logging, retention, and alignment with regulatory or client policies (e.g. sector requirements); awareness of frameworks or obligations relevant to engagement context
Secure patterns: IAM least privilege, Secrets Manager/Parameter Store, network isolation

Ways of Working

High energy and strong ownership mindset
Deep care for quality and delivery excellence
Comfortable with ambiguity in emerging AI domains
Confident in client-facing, fast-paced environments
First-principles thinking when evaluating GenAI, agentic systems, and architectural trade-offs

Why Codex

Great Place to Work® Certified – A culture built on trust, ownership, and high standards

High-Performance Environment – Meaningful responsibility and real impact

Frontier AI Work – Build production-grade agentic systems, not just prototypes

Strong Team Culture – Smart, supportive people who care about doing great work

Growth Opportunity – Accelerate your AI capability within a consultancy environment

Flexibility – Hybrid working in Melbourne

Pay: $140,000.00 – $200,000.00 per year

Work Location: Hybrid remote in Melbourne VIC

Quick Apply

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senior applied ai solutions architect, amazon connect, aws, aws applied ai solutions jobs in reservoir, vic

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