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Articulating Business Goals into Successful Solutions while building our team.
The Role
Design and lead end-to-end AI and data platform architectures using Microsoft Azure and Fabric. Drive generative AI, RAG, Copilot, MLOps, and production-ready integrations, run discovery and executive workshops, produce reusable reference architectures, mentor delivery teams, and support sales and delivery for AI transformation engagements.
Summary Generated by Built In
About Artic Consulting Artic Consulting is a Microsoft-focused consulting partner helping organizations modernize operations, data platforms, applications, and business workflows through cloud, Data & AI, intelligent application engineering, Microsoft Fabric, Azure, Power Platform, Dynamics 365, Copilot, and automation solutions. This role is intended to strengthen Artic's Data & AI practice and support client-facing AI transformation engagements.
Key Responsibilities
Key Responsibilities
- Design end-to-end AI and data platform architectures aligned with client business outcomes.
- Lead architecture for Generative AI applications, Copilot implementations, AI agents, RAG-based knowledge systems, intelligent document processing, predictive analytics, and machine learning solutions.
- Define solution patterns that address scalability, security, reliability, governance, observability, and maintainability.
- Create architecture diagrams, design narratives, integration patterns, non-functional requirements, and implementation guidance.
- Architect solutions using Microsoft Fabric, Azure AI Foundry, Azure OpenAI Service, Copilot Studio, Power Platform, Azure Databricks, Azure SQL, Power BI, Azure Functions, App Services, Container Apps, and related Microsoft cloud services.
- Evaluate model, agent, data, and application platform choices based on business value, security, cost, and operational fit.
- Establish reusable reference architectures, accelerators, and implementation playbooks for Artic client engagements.
- Facilitate discovery workshops, roadmap sessions, and executive briefings.
- Translate business challenges into practical AI solution roadmaps and phased delivery plans.
- Present architecture recommendations clearly to technical and non-technical stakeholders.
- Advise clients on responsible AI, governance, adoption, readiness, and ROI measurement.
- Guide data engineers, software engineers, AI engineers, and consultants through implementation.
- Review solution designs, code, security controls, integration approaches, and deployment plans.
- Mentor delivery team members and raise Artic's internal AI architecture capabilities.
- Partner with project managers and account leaders to manage delivery risk and client expectations.
- Support sales and delivery teams with proposals, Statements of Work, estimates, technical responses, and solution demonstrations.
- Contribute to AI offerings, proof-of-concepts, demos, and reusable assets that expand Artic's Data & AI practice.
- Support Microsoft-aligned opportunities and partner-led AI transformation initiatives.
- Bachelor’s degree in computer science, Engineering, Information Systems, Data Science, or a related field required; master’s degree preferred
- 8+ years of experience in enterprise, cloud, data, or software architecture, or solution delivery, including 3+ years focused on AI, machine learning, generative AI, or intelligent automation
- Proven experience leading client-facing consulting engagements, executive workshops, solution design sessions, and technical delivery teams
- secure, scalable, production-ready AI solutions that integrate with enterprise data, applications, identity, security, and governance framework.
- Generative AI, Large Language Models, prompt engineering, RAG, embeddings, vector search, and AI agent design
- Microsoft Azure architecture, cloud-native application patterns, APIs, identity, networking, and security
- Microsoft Fabric, data engineering, data warehousing, lakehouse architecture, analytics, and Power BI
- Azure OpenAI Service, Azure AI Foundry, Copilot Studio, and Microsoft 365 Copilot extensibility
- Machine learning concepts, MLOps, model evaluation, monitoring, and responsible AI practices
- Python, SQL, integration patterns, API design, DevOps/GitHub, CI/CD, and modern software engineering practices
- Security, compliance, data governance, privacy, cost management, observability, and operational readiness
- Microsoft Certified: Azure Solutions Architect Expert
- Microsoft Certified: Azure AI Engineer Associate
- Microsoft Certified: Fabric Analytics Engineer Associate
- Microsoft Certified: Azure Data Engineer Associate
- Microsoft Certified: Power Platform Solution Architect Expert
- Lead successful delivery of enterprise AI and Data & AI client engagements.
- Develop reusable Artic AI reference architectures, demos, accelerators, and delivery playbooks.
- Improve proposal quality, solution estimation accuracy, and technical consistency across AI engagements.
- Expand client adoption of Microsoft Fabric, Azure AI, Azure OpenAI, Copilot, and intelligent automation solutions.
- Mentor consultants and help grow Artic's AI architecture and delivery capabilities.
- Lead practical, client-facing AI transformation initiatives using the Microsoft ecosystem.
- Work across strategy, architecture, delivery, and executive advisory responsibilities.
- Help shape and scale Artic's Data & AI practice and AI solution offerings.
- Collaborate with leadership and delivery teams on high-value consulting engagements.
- Build solutions that convert modern AI capabilities into measurable business outcomes.
Skills Required
- Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science or related field
- 8+ years in enterprise cloud, data, software architecture or solution delivery
- 3+ years focused on AI, machine learning, generative AI, or intelligent automation
- Proven experience leading client-facing consulting engagements, executive workshops, and technical delivery teams
- Design and deliver secure, scalable, production-ready AI solutions integrated with enterprise data, apps, identity, security, and governance
- Experience with Generative AI, LLMs, prompt engineering, RAG, embeddings, vector search, and AI agent design
- Microsoft Azure architecture experience including cloud-native patterns, APIs, identity, networking, and security
- Experience with Microsoft Fabric, data engineering, lakehouse/warehousing, analytics, and Power BI
- Hands-on with Azure OpenAI Service, Azure AI Foundry, Copilot Studio, and Microsoft 365 Copilot extensibility
- Knowledge of machine learning concepts, MLOps, model evaluation, monitoring, and responsible AI practices
- Proficiency in Python and SQL
- Experience with Azure Databricks, Azure SQL, Azure Functions, App Services, Container Apps
- DevOps experience (GitHub, CI/CD) and modern software engineering practices
- Understanding of security, compliance, data governance, privacy, cost management, and observability
- Ability to create architecture diagrams, design narratives, integration patterns, and non-functional requirements
- Preferred: Microsoft Certified Azure Solutions Architect Expert, Azure AI Engineer Associate, Fabric Analytics Engineer Associate, Azure Data Engineer Associate, Power Platform Solution Architect Expert
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The Company
What We Do
Artic is passionate about people and impact, delivering global consulting services that provide solutions by understanding the business need, pulling an incredible team together, then executing and delivering amazing results. Currently, Artic specializes in Business Management Services, Custom Application and Systems Engineering, and Data and Business Insights.
