AI Technical Lead
16 hours ago
Customer Delivery Tech Lead | Revolutionary Data Virtualization | Up to $200,000 + Super + Stock
We are working closely with a rapidly scaling startup that is revolutionizing data virtualization solutions. Their platform is trusted by thousands of companies worldwide, and they are looking to add a Customer Delivery Tech Lead to their growing team.
They are looking for a candidate who combines strong technical skills with leadership experience to help drive customer success and shape best practices across delivery teams.
This role will be very hands-on, and recent, strong experience with Python, Apache Spark and OpenShift is a must.
Requirements:
- Over 10 years of experience in IT delivery.
- Highly proficient with Apache Spark and OpenShift.
- Demonstrated expertise in data engineering, system integration, and cloud-based data platforms.
- Strong hands-on proficiency with SQL, Python, and Apache Spark.
- Proven experience in building CI/CD pipelines using tools like GitHub, Bitbucket, or similar.
- Extensive cloud experience (AWS, Azure, or GCP), particularly in large-scale data pipeline development.
- Familiarity with Business Intelligence tools (e.g., Tableau, PowerBI, etc.).
- Expertise in Generative AI (GenAI), including LLMs, vector databases, prompt engineering, and AI use cases in the enterprise context.
- Deep understanding of Model Context Protocol (MCP) and its role in enabling secure and standardized interactions between enterprise data and AI models.
Responsibilities:
Technical Leadership & Delivery
- Lead the technical design and successful implementation of solutions within customer IT ecosystems.
- Serve as a trusted technical advisor, ensuring architectural decisions are aligned with both business objectives and industry best practices.
- Develop and continuously refine technical frameworks and repeatable processes to ensure customer success and delivery efficiency.
Customer Engagement & Advocacy
- Take ownership of technical stakeholder engagement, translating complex customer requirements into actionable, effective solutions.
- Advocate for data virtualization platform, both internally and externally, highlighting its seamless integration with emerging AI technologies.
Innovation & Emerging Tech
- Guide customers in incorporating Generative AI (GenAI) into their data environments, providing best practices for its responsible and impactful use.
- Leverage Model Context Protocol (MCP) to improve interoperability between AI models and enterprise data systems, driving innovation and efficiency.
Salary:
$200,000 + Super + Stock
Location:
Melbourne - Hybrid
How to apply
Please apply asap with your CV to be considered for this position. You can also get in touch with me on
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