MABASA / LINKEDIN
Principal Engineer – Agentic AI
Synechron
- Location
- Greater Sydney Area
- Work type
- fulltime
- Source publication date
- Original publication date not confirmed
- Source closing date
- Not supplied — check original advert
Job description from the source
**About the Company :** At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,000+, and has 55 offices in 20 countries within key global markets. For more information on the company, please visit our website: www.synechron.com. **Location: Sydney** We are looking for a **Principal Engineer/Solution Architect** with strong expertise in **Agentic AI, AI-powered platforms, LLMs, and enterprise architecture** , along with S **trong experience** in **FinTech and** **Capital markets.** **Key Skills and Responsibilities:** * Lead the architecture and delivery of **Agentic AI and LLM-powered enterprise solutions** . * Design AI agents, orchestration workflows, integrations, guardrails, and governance frameworks. * Apply **RAG, prompt engineering, NLP, Copilot, Claude, and MCP** technologies. * Build scalable AI platforms using **C#/.NET Core, APIs, microservices, Azure, AWS, Kubernetes, and Kafka** . * Ensure AI solution security, observability, resiliency, performance, and responsible AI practices. * Provide technical leadership and mentor engineering teams. * Apply strong domain expertise in **FX, trading, capital markets, pricing, valuation, and risk management** .
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