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About the role AI & Cloud Architect Thetechnical authority for the Nexus product platform. You'll set the architectureacross Azure, AWS, and our AI stack, stay close enough to the code to proveyour designs work, and make sure the platform scales securely and affordably asthe product portfolio grows.
Ata Glance
- Location: India (preferred, Hybrid); otherlocations considered
- Employment type: Full-time, permanent
- Experience: 10+years in software engineering and architecture,including production AI and multi-cloud platforms
- Role type:Architectureand technical leadership, hands-on enough to build proofs of concept; not aline-management role
- Core focus:Azureand AWS platform architecture, AI architecture (model gateway, retrieval,agents, and evaluation), security, and multi-tenancy
- Reports to: CISO
- Working hours: Shifted India hours with atleast 4 hours' daily overlap with Australian (Melbourne and Brisbane) businesshours, typically around 7:30am–4:30pm IST, adjusted for Australian daylightsaving
AboutPower Tech Consulting
Power Tech is a data, AI, cloud, andtransformation consultancy serving mining, financial services, hospitality, andgovernment clients across Australia, New Zealand, Fiji, Singapore, and India.We're multi-vendor, so we recommend what's right, not what's easy to sell, andwe're building our own products alongside client work.
Service through contribution. Trustthrough transparency. Accountable from end to end. Join us and help shape whatPower Tech becomes.
Aboutthe Role
Power Tech Nexus is the productcompany of the Power Tech group. We build and run our own AI-driven softwareproducts for businesses in Australia and the region. We are a small teamgrowing deliberately, so every hire shapes how the product and the engineeringpractice turn out.
As AI & Cloud Architect, you'llbe the technical authority for the Nexus product platform. You'll set thearchitecture across Azure and AWS and across our AI stack, and stay closeenough to the code to prove your designs work. You'll lead technical decisions,mentor the engineering team, and make sure the platform scales securely andaffordably as the product portfolio grows.
KeyResponsibilities
- Ownthe target architecture for the product platform across Azure and AWS.
- Designthe AI architecture, covering the model gateway, retrieval, agents, evaluation,and cost controls.
- Writearchitecture decision records, and review significant designs and changesbefore they are built.
- Buildproofs of concept and reference implementations to de-risk decisions, sodesigns are proven in code, not only on paper.
- Setengineering standards for security, identity, networking, and multi-tenancy.
- Makesure the platform scales securely and affordably as the product portfoliogrows, keeping cloud and AI costs visible and under control.
- Mentor engineers and lead technical hiring alongside the Managing Director.
Must-HaveSkills and Experience
- 10+years in software engineering or architecture, including recent years designingAI solutions that run in production.
- Architecturaldepth across both Azure and AWS, including identity, networking, and security.
- Productionexperience designing LLM-based systems, covering model access and routing,retrieval, agents, evaluation, and cost control.
- Experiencedesigning multi-tenant SaaS platforms that scale securely.
- Currenthands-on coding ability, enough to build proofs of concept and referenceimplementations yourself, in Python, TypeScript, or a comparable language.
- Atrack record of documenting and leading technical decisions, reviewing designs,and mentoring engineers.
DesirableSkills
- Arecognised cloud architecture certification such as Azure Solutions ArchitectExpert or AWS Solutions Architect Professional.
- Hands-onexperience with Azure OpenAI Service or AWS Bedrock, and with agent frameworksand protocols such as LangGraph or MCP.
- Experiencewith cloud cost management (FinOps) for AI workloads.
- Experiencein a product company or start-up growing from one product to a portfolio.
- Experienceleading technical hiring.
Education
A bachelor's degree in computerscience, information security, information technology, or a related field, orequivalent experience.
WhatSuccess Looks Like
- Theplatform supports a growing product portfolio without major re-architecture and stays secure and affordable as it scales.
- Significanttechnical decisions are recorded and reviewed, so the team understands not justwhat was decided but why.
- SharedAI components, such as the model gateway, retrieval, and evaluation, are reusedacross products, with costs visible and controlled.
- Engineersgrow visibly under your mentorship, and the people you help hire strengthen theteam.