AI Architect

Infosys Singaporeand Australia

Sydney

Hybrid

AUD 200,000 - 260,000

Full time

14 days+
Application generator

An application made for this job — a tailored resume and cover letter that speak straight to the posting.

Get past ATS filters

Job summary

Infosys Consulting is seeking a GenAI Architect - Senior/ Principal Consultant to join the Digital Team in Australia. The role focuses on AI architecture, solution design, and guiding multi-modal AI initiatives across client projects.

Responsibilities include leading discovery sessions, prototyping tools, and ensuring ethical AI practices while collaborating with stakeholders to deliver scalable AI solutions on GCP/AWS stacks.

Qualifications

  • Senior/Principal consultant with GenAI focus.
  • Experience turning business challenges into AI-enabled technical solutions.

Responsibilities

  • Design scalable AI/ML architectures tailored to client requirements.
  • Collaborate with data scientists, engineers, and product teams for seamless AI integration.
  • Lead technical discovery sessions and translate business problems into AI use cases.
  • Prepare AI solution proposals and demos for prospective clients.
  • Provide guidance on ethics, guardrails, and governance for AI projects.

Skills

AI architecture
Solution design
Agile development
Stakeholder engagement
Cloud infrastructure

Tools

Gradio
Flutter
GCP
AWS
Python
Jupyter notebooks
Jira

Job description

Infosys Consulting is the worldwide management and IT consultancy unit of the Infosys Group (NYSE: INFY), a global advisor to leading companies for strategy, process engineering, and technology-enabled transformation programs.

We partner with clients to design and implement customized solutions to address their complex business challenges, and to help them in a post-modern ERP world. By combining innovative and human-centric approaches with the latest technological advances, we enable organizations to reimagine their future and create sustainable and lasting business value.

A pioneer in breaking down the barriers between strategy and execution, Infosys Consulting delivers superior business value to its clients by advising them on strategy and process optimisation as well as IT-enabled transformation. To find out how we go beyond the expected to deliver the exceptional, visit us at www.infosysconsultinginsights.com Infosys Consulting – is a real consultancy for real consultants.

Requirements

We have an opportunity available for a GEN AI Architect - Senior/ Principal Consultant to join our Digital Team.

Key Responsibilities
AI Architecture & Solution Design
  • Design scalable and robust AI/ML architectures tailored to client requirements.
  • Evaluate and select appropriate AI technologies, frameworks, and platforms.
  • Collaborate with data scientists, engineers, and product teams to ensure seamless integration of AI solutions.
  • Lead technical discovery sessions and translate business problems into AI use cases.
  • Partner with account teams to understand client needs and craft compelling AI solution proposals.
  • Deliver technical presentations, demos, and proof-of-concepts (PoCs) to prospective clients.
  • Respond to RFPs, RFIs, and technical questionnaires with detailed and accurate information.
  • Act as a trusted advisor to clients, guiding them through the AI adoption journey.

Solution Design & Development: Collaborate with stakeholders to turn business challenges into technical solutions underpinned by generative AI, leveraging multi-modal LLMs that encompass voice, text, and vision capabilities, including running models locally.

  • Prototyping Tools: Utilize tools such as Gradio and Flutter for rapid prototyping and demonstration of AI solutions, focusing on seamless integration of multi-modal inputs and outputs.
  • Performance Tuning & Benchmarking: Optimize and improve the performance of AI solutions by implementing best practices (re-ranking, indexation). Conduct benchmarking to test and validate the effectiveness and efficiency of AI models and solutions, ensuring they meet required standards for both prototypes and full-scale implementations.
  • Cloud Infrastructure: Utilize both GCP and AWS cloud stacks for development and deployment, employing Python, Jupyter notebooks, and relevant technologies for managing large-scale multi-modal data.
  • Vendor Management: Act as a Subject Matter Expert (SME) in vetting and evaluating vendor solutions to ensure alignment with project goals and the integrity of complex AI implementations, ensuring the effectiveness of multi-modal LLM utilization.
  • Guardrails and Ethics: Maintain an awareness of AI/GenAI ethics, guardrails, and principles, ensuring solutions are developed responsibly and ethically, especially in handling sensitive multi-modal data.
  • Agile Development: Use Jira for task and project management, ensuring agile methodologies are followed to streamline development processes and enhance collaboration on multi-modal projects.
  • Stakeholder Engagement: Engage with stakeholders to ensure alignment of technical solutions with business needs, facilitating feedback and iteration throughout the development process, and tailoring multi-modal capabilities to specific user requirements.
  • Continuous Learning & Research: Stay abreast of the latest developments in AI/GenAI technologies, including advancements in multi-modal LLMs, enhancing solutions through cutting‑edge research and innovation.
  • Solution Design & Development: Collaborate with stakeholders to turn business challenges into technical solutions underpinned by generative AI, leveraging multi-modal LLMs that encompass voice, text, and vision capabilities, including running models locally.
  • Prototyping Tools: Utilize tools such as Gradio and Flutter for rapid prototyping and demonstration of AI solutions, focusing on seamless integration of multi-modal inputs and outputs.
  • Performance Tuning & Benchmarking: Optimize and improve the performance of AI solutions by implementing best practices in model tuning. Conduct benchmarking to test and validate the effectiveness and efficiency of AI models and solutions, ensuring they meet required standards for both prototypes and full-scale implementations.
  • Cloud Infrastructure: Utilize both GCP and AWS cloud stacks for development and deployment, employing Python, Jupyter notebooks, and relevant technologies for managing large-scale multi-modal data.
  • Vendor Management: Act as a Subject Matter Expert (SME) in vetting and evaluating vendor solutions to ensure alignment with project goals and the integrity of complex AI implementations, ensuring the effectiveness of multi-modal LLM utilization.
  • Guardrails and Ethics: Maintain an awareness of AI/GenAI ethics, guardrails, and principles, ensuring solutions are developed responsibly and ethically, especially in handling sensitive multi-modal data.
  • Agile Development: Use Jira for task and project management, ensuring agile methodologies are followed to streamline development processes and enhance collaboration on multi-modal projects.
  • Stakeholder Engagement: Engage with stakeholders to ensure alignment of technical solutions with business needs, facilitating feedback and iteration throughout the development process, and tailoring multi-modal capabilities to specific user requirements.
  • Continuous Learning & Research: Stay abreast of the latest developments in AI/GenAI technologies, including advancements in multi-modal LLMs, enhancing solutions through cutting‑edge research and innovation.
  • Agentic AI familiarityis a plus.
  • Model tuning is a plus
Benefits

We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion, or belief. We make recruiting decisions based on your experience, skills, and personality. We believe that employing a diverse workforce is the right thing to do and is central to our success.

We offer you great opportunities within a dynamically growing consultancy. You will elaborate and deliver best practice solutions and will be able to further develop your solution design, implementation, and project management skills. At Infosys Consulting you will discover a truly global culture, highly dedicated and motivated colleagues, a cooperative work environment, and interesting training opportunities.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Artificial Intelligence - Architect
Artificial Intelligence - Architect

Infosys Singaporeand Australia • Sydney

On-site
AUD 148,000 - 175,000
Agile Consultant-AI
Agile Consultant-AI

Infosys Limited • City of Melbourne

Hybrid
AUD 180,000 - 240,000
GEN AI Engineer
GEN AI Engineer

Infosys Singaporeand Australia • Sydney

On-site
AUD 140,000 - 190,000
Agile Consultant-AI
Agile Consultant-AI

Infosys • City of Melbourne

On-site
AUD 180,000 - 260,000
Principal Technology Architect- AI Transformation Programs
Principal Technology Architect- AI Transformation Programs

Infosys Limited • Sydney

On-site
AUD 213,000 - 247,000
Flexible working (hybrid)
Income protection insurance
Hybrid work arrangements
Senior Principal Architect - Agentic AI
Senior Principal Architect - Agentic AI

Infosys • City of Melbourne

Hybrid
AUD 250,000 - 350,000
Income Protection Insurance
Paid Parental and Volunteer leaves
Employee Assistance Program (EAP)
+4
Principal Technology Architect- AI Transformation Programs
Principal Technology Architect- AI Transformation Programs

Infosys • Sydney

Hybrid
AUD 213,000 - 247,000
Income protection insurance
Paid parental and volunteer leaves
Employee Assistance Program (EAP)
+2
Devops Consultant
Devops Consultant

Infosys Limited • Sydney

On-site
AUD 180,000 - 240,000
AI Thought Leader Enterprise Architect
AI Thought Leader Enterprise Architect

Infosys Singaporeand Australia • Sydney

On-site
AUD 230,000 - 310,000
Devops Consultant
Devops Consultant

Infosys Limited • City of Melbourne

On-site
AUD 180,000 - 260,000