Join Tata Consultancy Services, Asia Pacific and be part of an organization committed to sustainable development for our future.
TCS follows the Tata group philosophy of building sustainable businesses that are rooted in the community and demonstrate care for the environment.
Our unique values position us to combine a purpose-driven worldview with digital innovation, collaborating with customers, communities and governments to lead and shape innovative solutions for a sustainable future.
TCS has been carbon neutral in its operations across 11 countries, 12 delivery centres and 18 offices in Asia Pacific since ****.
This is only the initial stage in TCS' journey as we strive to achieve long-term net zero emissions by ****.
Corporate sustainability is embedded in our triple-bottom-line, focusing on people, the planet, and our purpose.
Our offices are designed with eco-friendly features that significantly reduce our carbon footprint and enhance energy efficiency.
We actively champion green initiatives, such as promoting paperless operations, implementing energy-effective practices, and fostering employee engagement in sustainability efforts.
When you become part of the TCS family, you will play an essential role dedicated to innovation, excellence, and crafting a brighter, greener future together.
Join us and be a part of our mission to drive sustainability through technology and talent at Tata Consultancy Services, APAC today.
Job Description
Role Overview
TheAI/ML Engineeris responsible for designing, building, deploying, and operating production-grade machine learning and AI systems at enterprise scale.
This role bridges data science, software engineering, and platform engineering to ensure AI models and applications are reliable, secure, observable, and governed throughout their lifecycle.
Must-Have Requirements
The following skills and experience are essential for this role:
Proprietary LLM Integration:Hands-on experience integrating at least one proprietary large language model (e.g., OpenAI ChatGPT, Anthropic Claude, or Google Gemini) directly within application code.
Python:Strong coding experience in Python, including production-quality software development practices.
LLM Orchestration Frameworks:Experience with at least one LLM application framework such asLangChain, LlamaIndex, or Haystack for building LLM-powered pipelines and applications.
Agentic Orchestration:Experience with at least one agentic AI orchestration library such asLangGraph, AutoGen, or CrewAI for building multi-step, multi-agent workflows.
Natural Language Processing (NLP):Strong foundational understanding of NLP concepts, techniques, and best practices.
MLOps:Proven experience in machine learning operations, including model lifecycle management, CI/CD for ML, and production monitoring.
Key Responsibilities
Design, build, and maintain end-to-end MLOps pipelines covering model development, training, validation, deployment, monitoring, retraining,



and retirement.
Develop and operate scalable AI/ML platforms across development, test, and production environments.
Operationalise machine learning and LLM-based solutions with strong reliability, performance, and governance controls.
Support batch and real-time inference workloads.
Software Engineering & Automation
Develop production-quality services and automation using Python and modern software engineering practices.
Build and manage CI/CD pipelines using Git-based workflows.
Implement Infrastructure as Code (IaC) using Terraform, ARM, CloudFormation, or Bicep.
Deploy AI workloads using Docker and Kubernetes.
Design cloud-native architectures on Azure, AWS, or GCP.
Implement blue/green, canary, and progressive deployment strategies.
LLMs & Generative AI
Implement LLM application patterns including prompt orchestration, Retrieval-Augmented Generation (RAG), embeddings, and vector databases.
Integrate with LLM platforms such as Azure OpenAI, OpenAI, Anthropic, or AWS Bedrock.
Work with agentic AI frameworks and orchestration tools.
Monitoring, Observability & Operations
Implement logging, metrics, tracing, and alerting for AI services.
Monitor model performance, drift, latency, and availability.
Provide on-call production support and incident resolution.
Security, Governance & Compliance
Implement IAM, secrets management, encryption, and network security controls.
Ensure compliance with enterprise governance and audit requirements.
Qualifications & Experience
5+ years of experience in MLOps, AI Engineering, or Platform Engineering.
Strong Python and Linux experience.
Demonstrated experience deploying AI systems in production environments.
Preferred Skills
Experience with ML platforms such as MLflow, Kubeflow, SageMaker, or Azure ML.
Experience designing and operating high-availability AI platforms.
Familiarity with ITIL or enterprise service management processes.
Top Reasons to Join Our Team at TCS Australia
Attractive compensation & rewards
We offer a highly competitive salary package aligned with the Australian market, complemented by performance-based incentives, recognition programs, and comprehensive employee benefits.
Your achievements are celebrated, and your contributions truly matter.
Global exposure with local impact
At TCS, you'll work with leading Australian enterprises across diverse industries while collaborating with our global network of experts.
This means access to world-class practices, transformative technologies,



and the chance to shape solutions that have a real impact — locally and globally.
Empowering leadership & supportive environment
Our leadership team is committed to helping you succeed.
We encourage initiative, reward innovation, and provide a collaborative environment where your ideas are heard and valued.
We believe in careers, not just jobs.
With continuous learning, certification support, career mobility, and clear progression pathways, TCS empowers you to grow and evolve — whether you want to deepen your expertise, explore new domains, or take on leadership roles.
Inclusive, collaborative culture
Diversity, inclusion, and respect are central to who we are.
At TCS Australia, you'll join a workplace where collaboration thrives, individuality is valued, and everyone can contribute to meaningful outcomes.
Continuous learning & cutting-edge innovation
We invest heavily in your development, offering structured learning programs, global certifications, leadership development, and opportunities to work with emerging technologies.
You'll be part of an environment that constantly challenges and expands your capabilities.
A Great Fit for the TCS Culture
We're looking for people who are:
Passionate about technology and transformation
Driven by curiosity, innovation, and continuous learning
Excited to work in a collaborative, purpose-driven environment
Motivated by delivering real impact for clients, communities, and society
The TCS Community in Australia and Beyond
Global strength: Over 600,000+ associates in 55+ countries, united by a shared purpose — to innovate and make a difference.
Local presence: A trusted partner to Australia's leading enterprises across financial services, government, retail, healthcare, telecom, and more.
Social impact: Deeply committed to sustainability, digital inclusion, and community engagement initiatives in Australia and around the world.
Empowered workplace: We foster a culture where diversity, equity, and accessibility are integral to how we operate.
We don't just imagine a better future — we help build it.
About TCS
Tata Consultancy Services (TCS) is a global leader in IT services, consulting, and business solutions.
We have partnered with many of the world's largest organisations to help them transform their businesses, operating models, and technology ecosystems.
Learn more at .
Equal Chance Employer
TCS is an equal opportunity employer.
All qualified applicants will be considered without regard to race, colour, religion, gender, gender identity, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by applicable law.
Note:Compensation details are accurate as of this posting and may be adjusted in line with Australian laws and market conditions.
Applicants may be asked to attend interviews in person or via video conference and present valid identification during the process.
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📌 Ai Engineer (New South Wales)
🏢 Tata Consultancy Services
📍 New South Wales