Orion Innovation
Overview
Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. AI/ML Engineer / Architect – Research & Innovation (Audit Industry Focus) Role Overview We are seeking a forward-thinking AI/ML Engineer / Architect to drive research, prototyping, and innovation within the Audit / financial services industry. This role focuses on exploring cutting-edge AI technologies, publishing research and white papers, and delivering proofs-of-concept (POCs) and demos that showcase enterprise-ready solutions. The ideal candidate will have strong expertise in Azure-based AI/ML platforms, hands-on experience with LLMs, orchestration frameworks, and vector databases, and a passion for identifying how emerging AI capabilities can transform audit processes. Key Responsibilities
AI Research & Exploration 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. Prototyping & Demos Design and deliver POCs, prototypes, and demo applications to validate the feasibility of 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. Solution Architecture & Enterprise Readiness 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, etc.) to deliver scalable and secure platforms. Define reference architectures, reusable components, and best practices for integrating AI into legacy audit systems. Collaboration & Thought Leadership 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. Qualifications & Skills
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). LLMs and orchestration frameworks (Semantic Kernel, LangChain, LangGraph). Vector databases (Cognitive Search vector, Pinecone, Weaviate, Qdrant, pgvector). 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 that resonate with both 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 industry-specific challenges. Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Candidate Privacy Policy Orion Systems Integrators, LLC And Its Subsidiaries And Its Affiliates (collectively, “Orion,” “we” Or “us”) Are Committed To Protecting Your Privacy. This Candidate Privacy Policy explains what information we collect during our application and recruitment process, how we handle that information, and how to access and update that information.
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Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. AI/ML Engineer / Architect – Research & Innovation (Audit Industry Focus) Role Overview We are seeking a forward-thinking AI/ML Engineer / Architect to drive research, prototyping, and innovation within the Audit / financial services industry. This role focuses on exploring cutting-edge AI technologies, publishing research and white papers, and delivering proofs-of-concept (POCs) and demos that showcase enterprise-ready solutions. The ideal candidate will have strong expertise in Azure-based AI/ML platforms, hands-on experience with LLMs, orchestration frameworks, and vector databases, and a passion for identifying how emerging AI capabilities can transform audit processes. Key Responsibilities
AI Research & Exploration 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. Prototyping & Demos Design and deliver POCs, prototypes, and demo applications to validate the feasibility of 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. Solution Architecture & Enterprise Readiness 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, etc.) to deliver scalable and secure platforms. Define reference architectures, reusable components, and best practices for integrating AI into legacy audit systems. Collaboration & Thought Leadership 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. Qualifications & Skills
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). LLMs and orchestration frameworks (Semantic Kernel, LangChain, LangGraph). Vector databases (Cognitive Search vector, Pinecone, Weaviate, Qdrant, pgvector). 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 that resonate with both 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 industry-specific challenges. Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Candidate Privacy Policy Orion Systems Integrators, LLC And Its Subsidiaries And Its Affiliates (collectively, “Orion,” “we” Or “us”) Are Committed To Protecting Your Privacy. This Candidate Privacy Policy explains what information we collect during our application and recruitment process, how we handle that information, and how to access and update that information.
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