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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Artificial Intelligence (AI) Solutions Architect - **Company:** Boeing Company - **Location:** Dallas, TX, United States - **Experience:** Expert - **Salary:** $184,450.0 - $249,550.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Application Frameworks, Cloud Database, Cloud Engineering, Information Systems, Data Architecture, Data Governance, Data Visualization, Decision Support Systems, Graph Database, Interoperability, Machine Learning, Performance Tuning, Software Product Management, Raw Data, Azure Machine Learning, Workflow Management Systems, Enterprise Data Management, Data Ingestion, Retrieval-Augmented Generation, Large Language Models, IT Architecture, Deep Learning, Generative AI, HybridCloud, Data Layers, Event Driven Architecture, Kubernetes, Information Technology, Data Analytics, Machine Learning Operations, Front End Software Development, Virtual Agents, Api Design, Data Pipelines - **Published:** August 22, 2026 - **Apply:** https://www.dice.com/job-detail/e490f49a-ac8a-490b-8b55-39e22f58bb07 ## About the Role * 10+ years of experience with Artificial Intelligence (AI) and Machine Learning (ML) technologies, including the ability to integrate AI-driven insights into data architecture and analytics processes * 10+ years s of experience with Information Technology architecture including cloud and data architecture in a large-scale, hybrid cloud and on-prem environment * 10+ years of experience communicating with technical experts and explaining difficult technical concepts to non-technical business users * 10+ years of experience working across organizations and interfacing with key stakeholders, including senior leaders * 5+ years of experience designing, developing & optimizing AI/ML solutions, data science workflows, and analytics methodologies * 5+ years of experience with AI/ML and generative AI lifecycle concepts, including model development, evaluation, deployment, monitoring, change management, documentation, and data governance * 5+ years of experience designing, developing & optimizing AI/ML solutions, data science workflows, and analytics methodologies Preferred Qualifications (Desired Skills/Experience) * Bachelor's degree or higher in computer science, engineering, information systems, data science, or related field * Experience architecting AI solutions for supply chain, logistics, inventory, planning, sourcing, or parts domains * Experience with ML platforms, Machine Leaning Operations (MLOps) Large Language Model (LLM) orchestration, vector databases, retrieval-augmented generation, and model lifecycle management * Experience designing semantic layers, ontologies, knowledge graphs, or enterprise data models * Experience with Agentic AI, workflow automation, or AI-based decision support solutions * Experience with data visualization tools, orchestration platforms, and front-end delivery patterns * Experience with enterprise data governance, cataloging, lineage, and security frameworks * Experience with event-driven architecture, API-based integration, and scalable cloud-native design * Strong understanding of data architecture, APIs, integration patterns, and production engineering concepts * Experience supporting industrial, aerospace, or similarly complex operational environments Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process., Not Applicable ## Description This individual will work closely with business leaders, product managers, data engineers, data scientists, platform teams, and enterprise architecture to translate raw data and data products into AI capabilities such as machine learning, generative AI, Agentic AI, deep learning, decision intelligence, and advanced automation. The ideal candidate will bring deep technical expertise in enterprise architecture, data and AI platforms, and supply chain use cases, with the ability to design end-to-end solutions from data ingestion through modeling, ontology, orchestration, and front-end visualization., * Lead the architecture and design of end-to-end AI solutions supporting BGS Supply Chain business needs * Define solution architectures that integrate on-prem and cloud-based data, analytics, and AI capabilities into scalable enterprise patterns * Translate business requirements into technical designs for AI-enabled supply chain solutions * Architect the full solution lifecycle from raw data and governed data products through data modeling, ontology, AI model development, orchestration, and visualization * Design solutions using ML, Generative AI, Agentic AI, deep learning, optimization, and other advanced AI techniques as appropriate to the use case * Partner with supply chain business stakeholders to identify high-value use cases and shape feasible technical solutions * Collaborate with data engineers, data scientists, software engineers, platform architects, and product teams to ensure end-to-end solution integrity * Define solution patterns for data ingestion, transformation, semantic modeling, ontology design, AI model integration, workflow orchestration, and user experience delivery * Ensure solutions are scalable, maintainable, secure, and aligned to Boeing architecture, cyber, governance, and compliance standards * Evaluate technical tradeoffs across cloud, hybrid, and on-prem environments and recommend the best-fit architecture for business needs * Provide architectural guidance for AI product teams throughout design, build, testing, deployment, monitoring, and enhancement phases * Support the creation of reusable frameworks, reference architectures, and patterns for supply chain AI solutions * Work with front-end and product teams to ensure insights and AI outputs are delivered through intuitive interfaces, dashboards, copilots, or decision-support tools * Help define ontology and semantic layer approaches that improve usability, searchability, interoperability, and AI consumption of supply chain data * Participate in technical governance, design reviews, and architecture decision forums * Support production readiness, performance tuning, observability, and operational support for deployed AI solutions * Stay current on emerging AI technologies and recommend innovations that can improve supply chain performance and business value ## Related Videos - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Bringing Clarity to Event Streams: Enabling Analytics and AI Through Rich Metadata](https://www.wearedevelopers.com/videos/1616-bringing-clarity-to-event-streams-enabling-analytics-and-ai-through-rich-metadata) - [The Software Engineer 2030: From Coder To AI Orchestrator? - Patrick Schnell](https://www.wearedevelopers.com/videos/1825-the-software-engineer-2030-from-coder-to-ai-orchestrator-patrick-schnell) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)