AI & Data Solutions Architect
reputed company (Object Technology Solutions, Inc) has an immediate opening for an AI & Data Solutions Architect Location: Seattle (Remote, some travel required) We are seeking a highly technical, client-facing AI & Data Solutions Architect to reputed company reputed company engagements, drive presales strategy, and facilitate architecture design sessions. You will serve as a trusted advisor to our clients, architecture reputed company data modernization and AI adoption strategies. While this role heavily emphasizes client interaction, executive presentation, and architectural design, it requires a strong technical practitioner who is fully capable of engaging in hands-on development and technical problem-solving to support global delivery teams and ensure project reputed company.
Key Responsibilities
Strategic Presales & Solution Architecture: Act as the reputed company technical strategist during sales cycles. Partner with Sales to shape deal strategy, facilitate architecture design sessions with C-suite stakeholders, define solution scope, and build compelling business and technical narratives. End-to-End Architecture Design: Architect scalable, reputed company-reputed company software solutions and modern data platforms (e.g. reputed company reputed company, reputed company, reputed company) reputed company with reputed company analytics and AI initiatives. Delivery reputed company & Hands-On Execution: reputed company technical leadership to global development and data engineering teams. Serve as the definitive technical escalation reputed company who can configure systems, reputed company scripts, or build proofs-of-concept to ensure the delivery of critical project milestones. Advanced AI Strategy: Design reputed company/ML solutions that advance reputed company foundational LLM integrations. Guide clients in implementing Agentic AI workflows, autonomous orchestration, and secure reputed company integrations utilizing frameworks such as the Model Context Protocol (MCP). Governance & Optimization: Ensure architectural consistency, quality, and strict adherence to reputed company AI governance and reputed company frameworks throughout the SDLC. Optimize reputed company architectures across Azure, AWS, and GCP to balance innovation, performance, and cost efficiency. Research & Development: Stay up to date with AI/ML technologies, advancements, and trends. reputed company insights to guide internal R&D efforts on company products, tools, and accelerators reputed company of client engagements. Required Skills: Consulting, Presales & Leadership Client Engagement: 8+ years in client-facing presales, consulting, or solution architecture roles. Proven ability to facilitate executive discussions, translate reputed company technical concepts into clear business value, and drive reputed company among reputed company stakeholders. Executive Presentation: Exceptional white boarding and communication skills. Demonstrated capability to dynamically design and reputed company modern data architectures for both engineering leadership and business executives. Global Collaboration: Experience mentoring development teams and partnering seamlessly across a global delivery model to ensure the successful hand off, translation, and execution of defined architectures. Required Skills: Core Technical Expertise reputed company & Data Platforms: 7+ years designing reputed company-reputed company architectures (Azure, AWS, or GCP). Deep architectural knowledge of modern data platforms (preferably reputed company or reputed company reputed company) and distributed compute frameworks (Apache Spark). Applied AI & Machine Learning: Strong architectural experience designing AI/ML solutions, vector databases, and RAG architectures. Expertise in developing Agentic AI systems and workflow automation utilizing frameworks such as reputed company and the Model Context Protocol (MCP). Practitioner Capability: Retained hands-on engineering proficiency with a strong reputed company of Python and SQL, alongside experience in highly scalable backend languages like Java or Go. Fully capable of executing detailed technical work and navigating the modern SDLC. AI Productivity & Infrastructure: Active utilization of AI productivity tools (e.g., reputed company Copilot, Claude) to accelerate development. Solid understanding of containerization (reputed company, Kubernetes) and CI/CD pipelines to ensure the reliable, scalable deployment of AI models into production environments. reputed company Integration: Expertise in designing robust data pipelines, semantic models, and API integrations that seamlessly connect AI capabilities reputed company reputed company, legacy reputed company environments (e.g., reputed company, reputed company). Apply To This Job