In-Demand Technical architect ai/ml Jobs

AI/ML Engineer
Cognizant —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- Master's degree
- Machine learning
9h
Solutions Architect (AI)
Deakin University —Melbourne VIC
- $143,627 - $152,229 a year
- Full-time
- Hybrid work
- Azure
- Databases
- AWS
- Parental leave
- Employee discount
Domain Architect - Data & AI - Hybrid
Super Retail Group —Strathpine QLD
- Full-time
- Hybrid work
- Salesforce
- AI
- Communication skills
Quick Apply
AI Solution Architect
Cognizant —Melbourne VIC
- Full-time
- Hybrid work
- Azure
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AI Architect
Infosys Singapore & Australia —Sydney NSW
- Full-time
- Hybrid work
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- AI
Quick Apply
Senior AI Engineer (expression of interest)
Bilue —Sydney NSW
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Data Scientist(Agent Evaluations)
Cognizant —Melbourne VIC
- Full-time
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- Master's degree
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AI LLM Senior Engineer
Accenture —Brisbane QLD
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- Education
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Head of AI
Compare Club —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- Master's degree
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- Health insurance
- Life insurance
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Program Architect
Infosys —Melbourne VIC
- $127,971 - $141,157 a year
- Computer science
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AI Deployment Engineer
OpenAI —Sydney NSW
- Full-time
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- Communication skills
Solutions Architect
InterWorks —Melbourne VIC
- Remote
- Azure
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- SQL
- Health insurance
- Gym membership
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Principal Architect - Domain Frontier Engineer - Telecom
Cognizant —Melbourne VIC
- $100,000 a year
- Full-time
- Hybrid work
- Management
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NTT DATA —Melbourne VIC
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Amazon Web Services Australia Pty Ltd —Melbourne VIC
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Forward Deployed Engineer III - Applied AI
V2 Digital —Melbourne VIC
- Hybrid work
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- AI
- Parental leave
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Senior Software Architect - AWS
Budgetly —Melbourne VIC
- Up to $200,000 a year
- Full-time
- Remote
- AWS
- AI
- Annual leave
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AI Engineer - Conversational
4WD SUPACENTRE —Sydney Olympic Park NSW
- Full-time
- Azure
- Computer Science
- Salesforce
- Employee discount
Quick Apply
AI Engineer (Senior)
AMP Limited —Melbourne VIC
- Full-time
- Azure
- AWS
- Machine learning

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AI/ML Engineer

Cognizant -
Melbourne VIC

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Job Details

Full-time
9 hours ago

Qualifications

Azure
Law
E-commerce
Master's degree
Machine learning
APIs
Scalability
AI

Full Job Description

Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant combines a passion for client satisfaction, technology innovation, deep industry and business process expertise, and a global, collaborative workforce that embodies the future of work. Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 2000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world.

Our Culture:
Your passion, integrity and experience are integral to Cognizant's success. You will join a dynamic and expanding global leader in IT and Business consultancy where you will be valued for who you are. We take pride in our partnership with our clients, so your ability to add value and provide exceptional service to our clients is fundamental to your success. In return, you will be presented with opportunities to develop your career and collaborate with talented colleagues in a supportive, diverse environment.
At Cognizant we recognize that companies that are open and welcoming to a multi-culturally diverse workforce will thrive with fresh perspectives and collaborative knowledge. Cognizant focuses on promoting & increasing gender diversity and providing a workplace which encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.

Job Summary:
We are seeking an experienced AI/ML Engineer with 5–8 years of experience in machine learning and AI engineering. The ideal candidate will have strong expertise in the Microsoft Azure AI ecosystem, including Azure OpenAI Service, Azure AI Foundry, Azure Machine Learning, and Azure AI Search, and a proven track record of delivering scalable AI solutions that enhance customer experience, personalization, search relevance, and commerce outcomes.

Responsibilities :

Design, build, and fine-tune AI/ML models and LLM-based solutions (recommendation engines, conversational shopping assistants, search relevance, personalization) using Azure OpenAI Service and Azure AI Foundry.
Implement Retrieval-Augmented Generation (RAG) pipelines using Azure AI Search, vector embeddings, and knowledge bases built from product catalogues, customer data, and merchandising content.
Develop and productionize ML models using Azure Machine Learning, including training, evaluation, versioning, and deployment via MLOps pipelines.
Build and optimize prompt engineering strategies, agentic workflows, and function/tool-calling integrations for commerce-specific use cases (order lookup, product Q&A, cart assistance).
Integrate AI services with commerce APIs and backend systems (inventory, pricing, promotions) via Azure Functions, API Management, and event-driven architectures.
Monitor and improve model performance, latency, and cost through techniques like caching, model routing, and prompt/context optimization.
Implement responsible AI practices, including bias testing, hallucination mitigation, and integration with Azure AI Content Safety for guardrails.
Collaborate with Solution and Security Architects to ensure AI components meet architectural, security, and compliance standards, and support pre-sales teams with technical POCs/demos.

Skills Required:

5–8 years in AI/ML engineering
At least 2–4 years building and deploying LLM-based or generative AI applications in production, ideally within retail, e-commerce, or customer experience domains.

Preferred Certifications:

Microsoft Certified: Azure AI Engineer Associate (AI-102)
Microsoft Certified: Azure Data Scientist Associate (DP-100)
Microsoft Certified: Azure Fundamentals / AI Fundamentals (AZ-900 / AI-900) — baseline, typically exceeded
Databricks Certified Machine Learning Associate/Professional (if Databricks is part of the stack)
Relevant Generative AI/LLM specialization credentials (e.g., DeepLearning.AI Generative AI certifications)

Benefits:
Joining Cognizant will give you the opportunity to learn and collaborate with some of the most talented people in the industry, while having your finger on the pulse of emerging industry trends and working on the cutting edge of technology in your field of expertise.
We recognize that our people perform at their best when they feel valued as significant contributors and that is why at Cognizant, taking care of our employees is a priority:

You can pursue innovative career tracks and opportunities here
You can enhance your professional development through education and dedicated training
We’ll give you the skills you need to keep pace with the changing workplace while our compensation, benefits and wellness packages help you stay healthy and plan for the future.

Next Steps:
Please reach out to our friendly and welcoming team today to apply and register your interest in this full-time role. We'd love to help you get your next role and enable you to fulfil your professional ambitions.

Apply Now

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