Gen Al Solution Architect

7 days ago


Melbourne, Victoria, Australia Capgemini Full time $150,000 - $200,000 per year

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. 

Let's talk about the roles and responsibilities

We are seeking a visionary and technically adept Enterprise Generative AI Solution Architect to lead the design, development, and deployment of cutting-edge AI solutions across Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP). This role requires deep expertise in Generative AI, Retrieval-Augmented Generation (RAG), and LLM orchestration, with a strong focus on integrating AI capabilities into core enterprise systems such as ERP platforms (SAP, Oracle, Dynamics), CRM systems (Salesforce, Dynamics 365), and ITSM platforms (ServiceNow, Jira Service Management).

Key Responsibilities:

  • Architect and implement scalable Generative AI solutions across Azure, AWS, and GCP, leveraging native services and OpenAI/Anthropic/Google Gemini models.
  • Design and deploy RAG pipelines, vector databases, and prompt engineering strategies to optimize enterprise knowledge retrieval.
  • Lead integration efforts with enterprise systems including:
    • ERP: SAP, Oracle, Microsoft Dynamics
    • CRM: Salesforce, Dynamics 365
    • ITSM: ServiceNow, Jira Service Management
  • Collaborate with data engineering and DevOps teams to ensure secure, compliant, and performant AI deployments.
  • Define and enforce best practices for model governance, data privacy, and responsible AI.
  • Evaluate and recommend tools for LLMOps, observability, and cost optimization.
  • Provide technical leadership and mentorship to cross-functional teams.
  • Stay current with advancements in Generative AI, cloud-native services, and enterprise integration patterns
Qualifications & Experience:
  • Proven experience architecting and deploying Generative AI solutions in Azure, AWS, and GCP.
  • Deep understanding of LLMs, embedding models, vector search, and RAG architectures.
  • Hands-on experience integrating AI with ERP, CRM, and ITSM platforms.
  • Proficiency in cloud-native services such as:
    • Azure OpenAI, Azure Cognitive Search
    • AWS Bedrock, SageMaker, Kendra
    • Google Vertex AI, PaLM/Gemini, Cloud Search
  • Strong programming skills in Python, JavaScript, or similar languages.
  • Familiarity with tools like LangChain, Semantic Kernel, Haystack, or similar frameworks.
  • Excellent communication and stakeholder engagement skills.
What you'll love about working here:
  • We recognise the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance.
  • At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.
  • Equip yourself with valuable certifications in the latest technologies such as AWS and Microsoft Azure.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.



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