Associate AI Pattern Engineer Job at FinXL (Sydney CBD)

Senior Software Engineer - Build AI Tools

This role sits within the newly formed GenAI Security team, which is responsible...

Location

United Kingdom , Belfast

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Highly motivated self-starter with excellent interpersonal and problem-solving skills
Bachelor’s degree or equivalent work experience
Good oral and written communication skills
Significant relevant industry work experience
Experience of the full lifecycle of design, implementation and running of enterprise software solutions involving cross functional team collaboration
Expertise in a major programming language such as Python and/or Go, and associated tooling (Git, Maven, IDEs, Jenkins, Bitbucket etc)
Expertise in designing and implementing secure APIs and libraries
Experience in Generative AI, LLM frameworks, LLM prompt engineering and/or adversarial testing is a bonus
Experience with Cyber engineering and Operations, which could include DevSecOps or MLSecOps
Experience contributing to the architecture and design (architecture, design patterns, reliability, scaling) of new and current systems

Job Responsibility

Designing, developing, optimizing, and enhancing a GenAI prompt security platform to protect firm AI/LLM-based applications from adversarial attacks and prompt injections
Building and automating a security testing framework to validate protection mechanisms for various LLM use cases
Owning solutions that are expected to operate and perform at scale across the organisation
Collaboration with multiple stakeholders and partners across Engineering and Operations as well as partner teams within the wider Citi organisation, across different time zones

What we offer

27 days annual leave (plus bank holidays)
A discretional annual performance related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Access to an array of learning and development resources

Fulltime

Principal Consultant A2 - Infra

Microsoft Industry Solution - Global Center Innovation and Delivery Center (GCID...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or related field AND 3+ years leadership experience in relevant area of business. Higher Education Preferred
OR master’s degree in computer science, Information Technology, Engineering, or related field AND 6+ years’ experience in technology solutions, practice development, architecture, consulting, and/or Cloud Infrastructure domain
Highly proficient & solid Customer facing Project experience involving solution design, project envisioning, planning, development, and deployment of complex solutions with minimum of 10 plus years
Must have a proven record of delivering technical solutions
2+ years managing multiple projects or portfolios
1+ year(s) experience leading blended, multidisciplinary teams
Preferred Qualifications: Overall minimum 20+ Year of industry experience
Technical or Professional Certification in Cloud Infrastructure domain
Open to travel domestically and internationally and work with different cultures and customers
Technical certifications based on domain/service line (e.g., Azure, Security, Dynamics)

Job Responsibility

AI-First Delivery Leadership: Embed AI-first principles into delivery workflows, leveraging automation and intelligent orchestration where applicable
Lead end-to-end delivery of complex projects, ensuring solutions are scalable, robust, and aligned with client business outcomes
Drive engineering excellence through reusable components, accelerators, and scalable architecture
Oversee technical execution across multiple projects, ensuring adherence to best practices, quality standards, and compliance requirements
Collaborate with clients and internal stakeholders to define strategies, delivery plans, milestones, and risk mitigation approaches
Act as a technical point of contact for clients, translating business requirements into scalable technical solutions
Ensure delivery models are optimized for modern, AI-native execution, including integration of automation and intelligent processes
Ability to step into at risk projects, quickly assess issues, and establish a credible path to recovery or exit
Engineering Excellence: Champion high-quality engineering practices across all delivery engagements
Ensure adherence to coding standards, architectural integrity, and performance benchmarks

Fulltime

AI Engineer

As an AI Engineer, you’ll play a key role in designing, building and operating A...

Location

India , Mumbai

Salary:

Not provided

Collinson

Expiration Date

Until further notice

Requirements

A strong foundation in software engineering, with hands-on experience building, shipping and operating scalable, production-grade systems
Proven experience working with modern JavaScript and TypeScript stacks, including Node.js and associated backend frameworks, and confidence contributing to clean, maintainable codebases
Practical experience integrating large language models into real applications, using APIs such as OpenAI, Anthropic or similar, with an understanding of prompt design, evaluation and operational trade-offs
Confidence designing and working with APIs and backend services, including RESTful architectures and integration patterns that support reliability and scale
Familiarity with cloud-native environments and production tooling, including containerisation, monitoring and deployment practices, ideally within AWS-based ecosystems
Experience working with data stores such as PostgreSQL, MongoDB and or vector databases, with an understanding of how data design supports AI driven use cases
The ability to reason about cost, latency, privacy and risk when designing AI powered systems, and to make pragmatic engineering decisions within real-world constraints
Strong problem solving skills and attention to detail, with a mindset oriented toward iteration, evidence and continuous improvement
The ability to communicate complex technical concepts clearly and simply to a range of audiences, from engineers to product partners and non-technical stakeholders
Curiosity and adaptability, with a genuine interest in staying current with emerging AI tools, techniques and best practices, and applying them thoughtfully rather than reactively

Job Responsibility

AI Feature Design & Delivery – Design, build and run AI powered features using large language models, translating product ideas into reliable, scalable production systems that deliver measurable impact
LLM Integration & System Architecture – Integrate LLMs into existing applications and services, shaping backend architectures and APIs that balance performance, cost, security and maintainability
Prompt Engineering & Model Optimisation – Develop, test and refine prompt strategies to improve model accuracy, safety, latency and cost efficiency across different use cases
Hands-On Engineering – Build and maintain backend services and APIs using TypeScript and modern frameworks, contributing clean, well documented and maintainable code aligned with engineering best practice
Cross-Functional Collaboration – Work closely with product, data and design partners to identify high value AI opportunities and shape solutions that are feasible, testable and aligned to user needs
Evaluation & Monitoring – Define and implement evaluation approaches for LLM based systems, including logging, metrics and experimentation, to continuously improve quality and reliability in production
Scalable AI Patterns – Contribute to shared approaches, architectural patterns and standards for building AI driven features across the platform
Risk, Privacy & Cost Awareness – Make informed engineering decisions that consider data privacy, model risk, operational resilience and commercial constraints
Continuous Learning & Innovation – Stay current with emerging AI technologies, tools and techniques, proactively recommending improvements that enhance outcomes for users and teams

CD Excellence Data Engineering Associate

Unilever is looking for a CD Excellence Associate Data Engineer to help take our...

Location

United States , Englewood Cliffs

Salary:

71400.00 - 107200.00 USD / Year

Unilever

Expiration Date

Until further notice

Requirements

Technical aptitude and the ability to drive business value through focused technology solutions
Deep hands-on experience with cloud services such as Azure data services (e.g., Data Factory, Databricks, ADLS, Synapse, Azure SQL)
Strong proficiency in building scalable ETL/ELT pipelines using Databricks (APIs, PySpark, Spark SQL, Delta Lake)
Solid understanding of distributed computing, data lakehouse architecture, Unity Catalog and modern data engineering patterns
Ability to design and optimize data models that support analytics, reporting, and machine learning workloads
Strong SQL and Python skills, with the ability to write clean, efficient, production ready code
Proven ability to onboard new data sources, integrate APIs, and work with structured, semi-structured data
Experience designing frameworks for data ingestion, metadata management, and data lineage
Comfort working with large-scale datasets and evolving data ecosystems
Experience automating data workflows, quality checks, and monitoring using Azure-native tools

Job Responsibility

Design, build, and maintain scalable data pipelines and solutions on Microsoft Azure or similar cloud platforms
Develop and optimize ETL/ELT workflows to support high-volume, high-velocity data ingestion
Implement robust data models and structures that support analytics, reporting, and machine learning workloads
Integrate new data sources—internal and external—into the enterprise data ecosystem to expand data availability and unlock new business insights
Partner with product, engineering, business and global teams to identify opportunities for new datasets and ensure seamless onboarding
Establish scalable frameworks for data discovery, cataloging, and lineage to support enterprise wide data growth
Automate data workflows, quality checks, and monitoring using Cloud native tools and Databricks capabilities
Collaborate with data scientists to operationalize AI models using Databricks, Azure Machine Learning, or similar platforms
Ensure data readiness, reliability, and accessibility to accelerate AI adoption and experimentation
Contribute to the development of an enterprise AI strategy by identifying data gaps, opportunities, and scalable patterns

What we offer

Bonus eligible
Long-Term Incentive (LTI) eligible
Eligible to participate in benefits plan which may include health insurance (including prescription drug, dental, and vision coverage), retirement savings benefits, life insurance and disability benefits, parental leave, sick leave, paid vacation and holidays, as well as access to numerous voluntary benefits

Fulltime

New

AI SRE Associate Director

We provide critical safety and performance layers for next-generation LLM applic...

Location

China , 广州市

Salary:

480000.00 - 600000.00 CNY / Year

Randstad

Expiration Date

June 13, 2026

Requirements

7+ years in backend or platform engineering with a proven track record in designing scalable, high-traffic services
Extensive experience with Distributed Systems, Kubernetes, and cloud-native deployments
Strong command of performance tuning, service reliability engineering, and system-level trade-offs
Exceptional ability to lead technical discussions, document architectural decisions, and navigate complex design landscapes
Fluent in English with the ability to communicate technical trade-offs effectively in a cross-regional, multicultural environment
Experience with ML/AI-powered services or backgrounds in internal shared-service teams

Job Responsibility

Design and refine the end-to-end service operating model for high-traffic AI ecosystems
Define system behaviors under extreme load, implementing advanced failure handling, timeouts, and degradation strategies
Lead technical initiatives to strengthen the AI and API layers, eliminating structural single points of failure
Coordinate cross-component decisions and translate complex design patterns into reusable frameworks and high-quality documentation
Drive hands-on implementation while influencing technical direction across various engineering modules

Senior Cloud Solution Architect

Be the force that ignites transformation for our Enterprise customers as a Senio...

Location

Germany , Multiple Locations

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field
Extensive expertise in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software
Extensive expertise of working in a customer-facing role (e.g., internal and/or external)
Extensive expertise of working on technical projects
Technical certifications in cloud (e.g., Azure, Amazon Web Services, Google, security certifications)
Deep experience in enterprise-level cloud and hybrid infrastructures, DevOps principles, platform engineering, coding and solution design
Skilled in development using .NET, Java, JavaScript/Node.js, or Python and associated frameworks
Demonstrated leadership abilities, including executive presence, strong influencing skills with customers regardless of authority, and proven experience leading end-to-end transformational processes

Job Responsibility

Understand customers’ overall Business and IT priorities and success measures for AI, platform engineering, application modernization, and cloud migration opportunities
Act as the voice of the customer by driving new feedback into engineering, insights on usage and application patterns and help accelerate solution delivery through Architectural Reviews, Proof of Concepts/MVP applications and environment setup
Support customer skilling by making skilling recommendations, designing architectures, coding POCs & MVPs and delivering technical discussions, workshops and other cloud readiness activities and ensure that solution exhibits performance, security, scalability, maintainability and reliability upon deployment
Consumption (Cloud & Support) growth - Develop opportunities to drive Customer Success business results & help Customers get value from their Microsoft investments and identify resolutions to Customer blockers by leveraging subject matter expertise and use internal Microsoft processes for escalations to support and engineering
Drive customer/partner relationships to anticipate, identify, escalate, and work to resolve technical blockers to accelerate consumption and solution implementation and proactively uses knowledge of the products, services, and value propositions of Microsoft and its competitors in customer/partner conversations to identify growth opportunities based on knowledge of customer/partner needs
Learn new technologies or services that are aligned to customer needs and common patterns seen in Cloud application development and stay current with the latest Azure, AI and GitHub capabilities, cloud application patterns and be a practitioner of one or more enterprise languages .NET, Python, Java, JavaScript/Node.js, etc. and related frameworks
Share ideas, insights, and strategic technical input with technical teams and internal communities as well as participate in external technical community events (e.g., conferences, seminars, technical meetups, Webcasts, blogs, hackathons) and generate new ideas for changes and improvements to existing intellectual property (IP), technologies, and processes for designated customers/partners so as to drive opportunities for IP reuse, best practice sharing and consumption acceleration

Fulltime

Senior Cloud Solution Architect

Be the force that ignites transformation for our Enterprise customers as a Senio...

Location

Germany , Multiple Locations

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field
Established expertise in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software
Established expertise of working in a customer-facing role (e.g., internal and/or external)
Established expertise of working on technical projects
Technical certifications in cloud (e.g., Azure, Amazon Web Services, Google, security certifications)
Deep experience in enterprise-level cloud and hybrid infrastructures, DevOps principles, platform engineering, coding and solution design
Skilled in development using .NET, Java, JavaScript/Node.js, or Python and associated frameworks
Demonstrated leadership abilities, including executive presence, strong influencing skills with customers regardless of authority, and proven experience leading end-to-end transformational processes

Job Responsibility

Understand customers’ overall Business and IT priorities and success measures for AI, platform engineering, application modernization, and cloud migration opportunities
Act as the voice of the customer by driving new feedback into engineering, insights on usage and application patterns and help accelerate solution delivery through Architectural Reviews, Proof of Concepts/MVP applications and environment setup
Support customer skilling by making skilling recommendations, designing architectures, coding POCs & MVPs and delivering technical discussions, workshops and other cloud readiness activities and ensure that solution exhibits performance, security, scalability, maintainability and reliability upon deployment
Consumption (Cloud & Support) growth - Develop opportunities to drive Customer Success business results & help Customers get value from their Microsoft investments and identify resolutions to Customer blockers by leveraging subject matter expertise and use internal Microsoft processes for escalations to support and engineering
Drive customer/partner relationships to anticipate, identify, escalate, and work to resolve technical blockers to accelerate consumption and solution implementation and proactively uses knowledge of the products, services, and value propositions of Microsoft and its competitors in customer/partner conversations to identify growth opportunities based on knowledge of customer/partner needs
Learn new technologies or services that are aligned to customer needs and common patterns seen in Cloud application development and stay current with the latest Azure, AI and GitHub capabilities, cloud application patterns and be a practitioner of one or more enterprise languages .NET, Python, Java, JavaScript/Node.js, etc. and related frameworks
Share ideas, insights, and strategic technical input with technical teams and internal communities as well as participate in external technical community events (e.g., conferences, seminars, technical meetups, Webcasts, blogs, hackathons) and generate new ideas for changes and improvements to existing intellectual property (IP), technologies, and processes for designated customers/partners so as to drive opportunities for IP reuse, best practice sharing and consumption acceleration

Fulltime

Senior Sales Engineer

LogicMonitor® is the AI-first hybrid observability platform powering the next ge...

Location

Germany , Munich

Salary:

Not provided

LogicMonitor

Expiration Date

Until further notice

Requirements

Bachelor’s degree preferred
7+ years in IT, SE, or equivalent technical sales role
Deep technical knowledge of IT infrastructure, monitoring, cloud, and automation concepts
Strong understanding of the LogicMonitor platform and its integration capabilities
Excellent written and verbal communication skills, with the ability to engage both technical and business audiences
Experience with scripting or automation languages (Groovy, Python, PowerShell, etc.)
Proficiency with AI and GPT-based tools for automation, documentation, or customer-facing deliverables
Proven success in supporting complex sales cycles, managing multiple priorities, and collaborating cross-functionally
Demonstrated ability to teach, mentor, and contribute to team enablement programs
Curiosity-driven and comfortable learning new technologies independently

Job Responsibility

Deliver world-class technical presentations, demos, and proof-of-concepts that communicate LogicMonitor’s business value and technical differentiation
Act as a trusted advisor to Sales, Product, and Customer Success: ensuring technical validation aligns with customer outcomes
Contribute to technical enablement content, including demo scripts, dashboards, and AI-augmented workflows
Mentor and coach Associate and core SEs, guiding them through discovery calls, POCs, and solution design
Model adoption of AI and GPT tools across the SE workflow — leveraging them for proposal writing, data analysis, dashboard creation, and customer storytelling
Document and share GPT prompt libraries and automation examples to help others become more efficient and creative
Collaborate with the Principal SE “Round Table” to standardize and scale technical excellence across regions
Participate in internal training, enablement, and cross-functional initiatives with Product and Enablement
Analyze customer and deal patterns, using AI-driven insights to refine discovery and demo strategy
Embody LM’s culture of mentorship, curiosity, and continuous learning — always leaving the team stronger than before each engagement

Fulltime

Associate AI Pattern Engineer

FinXL

Location:
Australia , Sydney CBD

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 01, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Associate AI Pattern Engineer