Applied AI Solutions Architect

Job description

**This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for an Applied AI Solutions Architect based in the United States.** Join an innovative technology environment where artificial intelligence is transforming complex business challenges into practical, measurable solutions. As an Applied AI Solutions Architect, you will bridge business strategy, solution architecture, and hands-on AI development to deliver impactful products and workflows. You will collaborate with product managers, analysts, customers, and engineering teams to identify opportunities and design solutions that address real-world needs. From intelligent agents and data retrieval systems to integrations and user interfaces, you will oversee the complete solution lifecycle, from initial discovery to production deployment. Using advanced large language models (LLMs) and AI-powered coding tools, you will accelerate development while maintaining high standards for security, reliability, and quality. This remote opportunity is ideal for a technically accomplished, business-minded professional who enjoys solving ambiguous problems, leading cross-functional initiatives, and delivering measurable business outcomes. ### Accountabilities - **Business Problem Discovery:** Partner with product managers, analysts, business sponsors, and customers to identify pain points, gather requirements, define problem statements, map user journeys, and establish clear acceptance criteria. - **End-to-End Solution Ownership:** Lead AI initiatives from initial concept through architecture, prototyping, development, deployment, and continuous improvement, ensuring solutions meet agreed business objectives. - **AI Solution Architecture:** Design fit-for-purpose solutions incorporating AI agents, tools, data retrieval, integrations, workflows, user interfaces, and human review processes where appropriate. - **Technical Design and Scalability:** Develop architectures that balance performance, scalability, reliability, and cost while adhering to established security, data governance, and architectural standards. - **Rapid Prototyping and Development:** Build prototypes to validate assumptions, test technical approaches, and demonstrate value before progressing to full-scale implementation. - **AI-Powered Engineering:** Use Claude Code and other AI-assisted development tools to accelerate coding, automate repetitive engineering tasks, and build production-ready agents, connectors, integrations, and applications. Review generated outputs for correctness, security, and maintainability. - **Cross-Functional Collaboration:** Work closely with product, user experience, site reliability engineering, software development, quality assurance, and architecture teams to align technical solutions with business requirements. - **Testing and Quality Assurance:** Collaborate with quality assurance specialists and AI-powered testing agents to define test plans, validate functionality, evaluate output quality, and ensure production readiness. - **Delivery Planning and Prioritization:** Break complex initiatives into manageable phases, prioritize high-value work, coordinate technical decisions, and deliver incremental improvements against agreed timelines. - **Performance Measurement and Optimization:** Establish success metrics with business sponsors, monitor adoption, assess AI output quality, measure business impact, and refine solutions based on performance data and user feedback. - **Technical Leadership:** Facilitate decision-making, communicate architectural trade-offs, resolve disagreements constructively, and guide cross-functional teams toward effective implementation. - **Responsible AI Implementation:** Apply sound judgment when selecting AI-based approaches, ensuring appropriate human oversight, reliable outputs, and responsible use of organizational and customer data. ## Requirements - **Education:** Bachelor's degree in computer science, engineering, or a related discipline, or equivalent practical experience. - **Professional Experience:** Demonstrated success translating ambiguous business challenges into practical, production-ready technology solutions. - **AI and LLM Expertise:** Hands-on experience building applications with large language models, including AI agents, tool calling, data retrieval, workflow orchestration, and output-quality evaluation. - **Solution Architecture:** Strong experience in solution architecture, solutions engineering, or a comparable role involving end-to-end technical solution design and delivery. - **Programming and AI Development Tools:** Confidence writing, reviewing, debugging, and maintaining code using AI-assisted development tools, with the ability to assess generated code for accuracy, security, and quality. - **Technical Integration Skills:** Ability to design and implement integrations between AI systems, data sources, enterprise applications, and other technical components. - **Cloud and Emerging Technologies:** Familiarity with Amazon Web Services (AWS), Model Context Protocol (MCP) integrations, and tools such as Claude Code is advantageous. - **Communication Skills:** Excellent written and verbal communication, including the ability to explain complex technical concepts, architectural decisions, and trade-offs to non-technical stakeholders and senior leaders. - **Leadership and Collaboration:** Ability to lead technical project teams, influence stakeholders, facilitate decisions, manage competing perspectives, and maintain alignment across functions. - **Project Delivery:** Strong organizational skills, attention to detail, and the ability to prioritize effectively, manage timelines, and deliver incremental value. - **Analytical Thinking:** Strong critical-thinking and problem-solving abilities, including identifying underlying business issues, evaluating alternative approaches, and anticipating the implications of technical decisions. - **Adaptability and Initiative:** A proactive, collaborative mindset, with a willingness to experiment, learn emerging technologies, iterate quickly, and take ownership of results. - **Work Location and Eligibility:** Must be based in the United States. Candidates will be required to provide current citizenship and/or permanent residency information as part of the recruitment process to support compliance with applicable U.S. export control laws and regulations. ## Benefits - **Competitive Compensation:** Expected annual salary range of **$206,890–$219,060 USD**, with actual compensation determined by relevant skills, experience, and other applicable factors. - **Remote Work:** Fully remote position based in the United States. - **Comprehensive Healthcare:** Medical, dental, and vision coverage. - **Retirement Savings:** Access to retirement savings benefits, including 401(k) matching. - **Wellness Support:** Annual fitness reimbursement and access to wellness resources. - **Flexible Time Off:** Flexible vacation policy designed to support work-life balance. - **Technology Support:** Device reimbursement program to help support work-related technology needs. - **Learning and Development:** Company-sponsored training and professional development opportunities. - **Inclusive Culture:** A collaborative workplace that values diversity, equity, accessibility, and different perspectives. - **Community Engagement:** Opportunities to participate in charitable initiatives and community involvement programs. - **Career Growth:** The opportunity to contribute to innovative AI solutions in a high-growth technology environment, working alongside experienced professionals across product, engineering, and business functions.