Principal Consultant
On-siteAuckland, Auckland, New Zealand
Job Summary
Lead pre-sales consulting by driving RFx, discovery workshops, and solution design for integration and application development projects. Architect robust application solutions, define high-level blueprints, and develop technical proposals to win new business. Provide accurate estimates for project scopes, timelines, and risk pricing while identifying and mitigating delivery challenges. Collaborate with General Managers, Practice Leads, and client stakeholders to incorporate AI-driven strategies and propose AI-enabled solutions. Stay current with advancements in Artificial Intelligence, Machine Learning, and Generative AI to apply latest approaches to solution design and delivery.
Required Qualifications
- Strong Software Development background, and delivery within an enterprise environment
- Practical experience of development across a range full stack of technologies
- Ability to rapidly define solutions and options within a presale's environment
- Able to facilitate customer conversations, solicit high level requirements and outcomes and concisely determine and obtain key technical information
- Practical solution architecture experience
- Proven experience with defining, and planning delivery approaches and creation of estimates and risk pricing
- Experience as a project/programme architect
- Ability to identify mitigate and management delivery risks
- Experienced in cloud and container-based architecture
- Strong written and verbal communication
- Able to guide and convince senior stakeholders
- Strong knowledge of modern cloud-based application architectures, approaches and components
- Demonstrable experience with AI/ML concepts, frameworks, and practical application in solution design, development, or strategic consulting
Desired Qualifications
- Knowledge of multiple programming languages and frameworks (e.g. Java, Spring, C# .NET, Python, React, Angular etc...)
- Integration experience
- Knowledge of data and analytics approaches, modern and legacy
- Experience of COTS/Platform implementations
- Deep Azure or AWS knowledge, with specific experience in their AI/ML and Generative AI services (e.g., Azure OpenAI, AWS SageMaker, Bedrock)
- Experience with large language models (LLMs) and their integration into enterprise applications
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