Full-Time Forward Deployed Solution Architect – Applied AI

• Lead Strategic Discovery: Identify high-impact AI opportunities by running hands-on workshops and aligning stakeholders.
• Architect AI-Native Solutions: Design systems using LLMs, RAG pipelines, retrieval logic, and workflow orchestration.
• Accelerate Delivery with Engineers: Collaborate closely with FDSEs to build, test, and iterate functional solutions quickly.
• Codify Best Practices: Create repeatable frameworks, reusable templates, and modular components.
• Drive Alignment: Influence customer and executive buy-in through clear storytelling and solution framing.
• Advocate Field Insights: Capture feedback from deployments to shape product strategy and prioritize platform needs.
• Enable Scale: Equip internal teams and customers to expand success through documentation and technical onboarding assets.

• Enterprise Experience: 15+ years of overall experience, with 5–7+ years in enterprise AI/ML architecture, field engineering, or solution consulting.
• Technical Mastery: Strong grasp of LLM-based systems and GenAI pipelines including prompt engineering, retrieval-augmented generation (RAG), orchestration, and data modeling. Experience designing full-stack intelligent workflows.
• Cloud & Infrastructure Fluency: Deep hands-on experience with AWS, Azure, or GCP, including use of containers, infrastructure-as-code (Terraform, CloudFormation), and enterprise integration patterns.
• Engineering Depth: Proficient in Python and SQL, with working knowledge of GenAI tooling frameworks like LangChain, Semantic Kernel, or similar.
• Customer & Delivery Leadership: Comfortable operating in ambiguous, high-stakes environments. Experienced in guiding cross-functional technical teams, influencing executive stakeholders, and ensuring clarity from ideation to implementation.

What is the last date for applying to the job?

Which countries are accepted for this remote job?