OTSI (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 lead enterprise engagements,drive presales strategy, and facilitate architecture design sessions. You willserve as a trusted advisor to our clients, architecture complex datamodernization and AI adoption strategies. While this role heavily emphasizesclient interaction, executive presentation, and architectural design, itrequires a strong technical practitioner who is fully capable of engaging inhands-on development and technical problem-solving to support global deliveryteams and ensure project success.
Key Responsibilities
- Strategic Presales & Solution Architecture: Act as the lead 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, cloud-native software solutions and modern data platforms (e.g. Microsoft Fabric, Databricks, Snowflake) aligned with enterprise analytics and AI initiatives.
- Delivery Oversight & Hands-On Execution: Provide technical leadership to global development and data engineering teams. Serve as the definitive technical escalation point who can configure systems, develop scripts, or build proofs-of-concept to ensure the delivery of critical project milestones.
- Advanced AI Strategy: Design robust AI/ML solutions that advance beyond foundational LLM integrations. Guide clients in implementing Agentic AI workflows, autonomous orchestration, and secure enterprise integrations utilizing frameworks such as the Model Context Protocol (MCP).
- Governance & Optimization: Ensure architectural consistency, quality, and strict adherence to enterprise AI governance and security frameworks throughout the SDLC. Optimize cloud 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. Provide insights to guide internal R&D efforts on company products, tools, and accelerators outside 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 complex technical concepts into clear business value, and drive consensus among enterprise stakeholders.
- Executive Presentation: Exceptional white boarding and communication skills. Demonstrated capability to dynamically design and articulate modern data architectures for both engineering leadership and business execut