Senior AI Solutions Engineer

Work Model: Remote Work Hours: Must be available between 8:00 AM – 5:00 PM Pacific Time Role Overview We are looking for a Senior AI Solutions Engineer, experienced in driving AI adoption across the organization. This is a highly business-facing role where you will work closely with business leaders to identify opportunities, understand business challenges, and translate them into scalable AI solutions. You will lead solution discovery, architect enterprise AI applications, and guide engineering teams through implementation. Key Responsibilities Partner with business leaders across Merchandising, Ecommerce, Operations, Customer Experience, Marketing, and other functions to identify AI opportunities. Conduct discovery workshops and translate business problems into AI-enabled solutions. Design scalable enterprise AI solutions using Claude, LLMs, Agentic AI, and Retrieval-Augmented Generation (RAG). Architect AI assistants, copilots, workflow automation, and conversational AI solutions integrated with enterprise platforms. Define solution architecture, implementation approach, and technical roadmap for AI initiatives. Work closely with engineering teams to drive Proof of Concepts (PoCs) through production deployment. Present AI solutions, architecture, and business value to both technical and executive stakeholders. Establish reusable AI architecture patterns, governance, and best practices for the AI CoE. Stay current with emerging AI technologies and recommend innovative solutions that create measurable business value. Required Skills AI & Architecture 10+ years of software engineering or solution architecture experience. 4+ years designing enterprise AI/GenAI solutions. Strong hands-on experience with Claude (mandatory). Experience with Azure OpenAI and/or OpenAI. Agentic AI architecture. LangGraph, LangChain, MCP (preferred). RAG architecture and Vector Databases. Prompt Engineering. Python. Enterprise AI integrations and APIs. Business Consulting Strong experience working directly with business stakeholders. Ability to independently translate business problems into AI solutions. Experience facilitating workshops, solution discovery, and AI roadmapping. Excellent presentation and executive communication skills. Comfortable working with ambiguity and driving AI initiatives proactively. Preferred Experience Retail or Ecommerce domain. AI-powered search, merchandising, pricing, customer experience, or digital commerce. AI CoE or enterprise AI transformation initiatives. Multi-agent AI systems. Microsoft ecosystem (Azure, Teams, SharePoint). What We're Looking For AI-first mindset with strong business acumen. Excellent consulting and stakeholder management skills. Ability to influence senior business leaders. Passion for solving real business problems using AI. Hands-on architect who can balance strategy with execution. About VRIZE VRIZE is a global digital engineering and technology consulting company that partners with leading enterprise organizations to accelerate digital transformation through AI, cloud, data, and modern software engineering. Our teams specialize in delivering innovative, scalable solutions across industries including retail, financial services, healthcare, manufacturing, and technology. At VRIZE, you'll work alongside experienced engineers, architects, and business leaders to design and implement cutting-edge AI solutions that solve complex business challenges. We foster a collaborative, innovation-driven environment where continuous learning, technical excellence, and customer success are at the core of everything we do.

The role involves partnering with business leaders to identify AI opportunities and translating them into scalable enterprise AI solutions. You will architect AI assistants and workflow automations while guiding engineering teams from proof-of-concept to production deployment.

Candidates must have over 10 years of software engineering experience, including at least 4 years designing enterprise GenAI solutions with mandatory expertise in Claude. Strong business consulting skills and the ability to communicate technical value to executive stakeholders are essential.

• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Claude
• Generative AI
• Agentic AI
• Retrieval-Augmented Generation
• Azure OpenAI
• LangGraph
• LangChain
• Python
• Vector Databases
• Prompt Engineering
• Solution Architecture
• Business Consulting
• Stakeholder Management
• Enterprise AI Integration
• Executive Communication
• AI Roadmapping

• Technology
• Consulting
• Software
• Engineering
• Data & Analytics

Expérience minimale

10+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Mid-Senior level

Mode de candidature

La candidature directe est offerte