About Cognizant Consulting
Cognizant Consulting is more than Cognizant’s consulting practice—we’re a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending deep industry insight with leading technology advisory capabilities, we partner with clients to design and deliver innovative, outcome-focused solutions.
About the role
As a Consulting Data & AI Architect, you will make an impact by helping clients move from AI experimentation to enterprise-scale, production-ready AI solutions. You will be a valued member of Cognizant’s Technology Consulting & AI practice and work collaboratively with clients, consulting leaders, engineers, and delivery teams across regions.
This role blends hands-on architecture, client advisory, and delivery leadership, with a strong focus on Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and emerging agentic AI systems.
In this role, you will:
- Lead the end-to-end architecture and delivery of enterprise-grade Data, AI, and Generative AI solutions, from concept through to production.
- Design and implement enterprise AI maturity assessments and governance frameworks to guide responsible AI adoption across client portfolios.
- Design and govern AI architectures leveraging LLMs, RAG patterns, vector databases, and agentic workflows to solve complex business problems.
- Define cloud-native AI solutions across AWS, Azure, and Google Cloud, ensuring scalability, security, reliability, and cost efficiency.
- Establish and oversee MLOps / LLMOps pipelines for model deployment, monitoring, lifecycle management, and continuous improvement.
- Act as a trusted advisor to senior client stakeholders, translating business needs into pragmatic AI architectures and delivery roadmaps.
Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in Sydney, New South Wales. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
What you must have to be considered
- Proven experience designing and delivering Data, AI, or Generative AI solutions in enterprise or consulting environments.
- Proven experience delivering AI governance or assurance initiatives
- Strong knowledge of Responsible AI and enterprise risk frameworks
- Strong hands-on expertise with Generative AI technologies, including LLMs, RAG-based architectures, and vector databases.
- Experience architecting and delivering cloud-based AI solutions on AWS, Azure, or Google Cloud.
- Solid programming experience in Python, with a strong understanding of modern data and AI engineering practices.
- The ability to engage confidently with senior business and technology stakeholders in a consulting environment.
These will help you succeed
- Experience with agentic AI frameworks and orchestration tools such as LangChain, LlamaIndex, or similar.
- Knowledge of data engineering concepts, including data pipelines, APIs, unstructured data processing, and integration patterns.
- Familiarity with AI governance, security, and responsible AI practices.
- Experience supporting presales activities, including solution shaping, architecture inputs, and proposal contributions.
- A consulting mindset with comfort operating in ambiguous, fast-paced client environments.
We’re excited to meet people who share our mission and can make an impact in a variety of ways. Don’t hesitate to apply, even if you only meet the minimum requirements listed—your transferable skills and unique experiences matter.
What we offer
- The chance to work with impact. Here, you’re empowered to bring your biggest thinking to help our company and clients improve everyday life.
- Ownership over your career. Stay at the top of your game through our award-winning learning and development ecosystem. And when your ambitions change or we offer new opportunities, we help you pivot by providing reskilling, on-the-job learning and guidance to find new roles that might be a better fit.
- The opportunity to thrive on a high caliber team with heart. We celebrate each other’s experiences and perspectives and promote a sense of belonging through our affinity groups and diversity and inclusion initiatives.
- A comprehensive total rewards package, including a competitive salary and a pension plan with matching contributions.
- Flexible health and financial benefits to support you and your eligible dependents—from day one.
- True work-life balance. Be at your best through paid time off, flexible work arrangements, volunteering opportunities, social events, and so much more.
About us
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
Other employment-related information
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, provincial or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
Language requirements vary depending on roles, but we ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you’ll deliver services to and collaborate with stakeholders outside the province who may not speak French.