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Strider TechnologiesSolutions Engineer – Japan
Solutions Engineer at Strider Technologies driving revenue growth through consultative expertise. Engaging clients and collaborating with sales for technical integration of services.
About the role
- Continuously evaluate the evolving AI/ML landscape (LLMs, multimodal AI, agentic systems, orchestration frameworks like Semantic Kernel/LangChain)
- Publish white papers, thought leadership, and research notes on applicability of new AI technologies to the Audit and Assurance domain
- Benchmark and compare existing vs. emerging technologies to guide architectural decisions
- Design and deliver POCs, prototypes, and demo applications to validate new AI solutions
- Showcase end-to-end use cases such as intelligent document review, anomaly detection, automated audit workflows, or generative AI assistants
- Translate research outcomes into practical, demo-ready solutions that highlight business value
- Ensure all AI solutions are Azure-native/compatible and align with enterprise security, governance, and compliance requirements
- Integrate with Azure services (Azure OpenAI, Cognitive Search, Cosmos DB, Fabric, Synapse, AKS) to deliver scalable and secure platforms
- Define reference architectures, reusable components, and best practices for integrating AI into legacy audit systems
- Partner with audit domain experts, data engineers, and product teams to identify high-impact AI opportunities
- Present findings, demos, and POCs to senior leadership, clients, and research forums
- Contribute to the firm’s innovation agenda by staying ahead of AI trends and shaping the strategic roadmap
Requirements
- Bachelor’s or master’s degree in computer science, Data Science, AI/ML, or related field (PhD preferred)
- 7+ years of experience in AI/ML engineering, applied research, or solution architecture
- Hands-on expertise in Azure AI ecosystem (Azure OpenAI, Cognitive Services, Synapse, Fabric, Cognitive Search, Cosmos DB, AKS)
- Experience with LLMs and orchestration frameworks (Semantic Kernel, LangChain, LangGraph)
- Experience with vector databases (Cognitive Search vector, Pinecone, Weaviate, Qdrant, pgvector)
- Experience with model fine-tuning, embeddings, RAG patterns, and prompt engineering
- Strong experience designing enterprise-ready AI solutions with compliance, governance, and security in mind
- Proven ability to develop POCs, demos, and technical presentations for technical and business stakeholders
- Strong communication and writing skills; ability to publish white papers and research articles
- Passion for innovation, continuous learning, and applying AI in novel ways to audit/financial services
Benefits
- Hybrid work / Remote, US
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
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Location requirements
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