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Job description
Our client is a fast‑growing technology company building modern infrastructure for AI‑driven applications. To support their expanding customer base, were looking for a Senior Solutions Architect to join the technical sales organization and help customers design, deploy, and scale next‑generation search and AI systems.
This role is ideal for someone who combines deep technical expertise with strong customer engagement skills — someone who enjoys solving complex distributed systems challenges while guiding customers toward successful outcomes.
Your Role
Technical Leadership
Become a subject‑matter expert in semantic search and AI‑driven retrieval systems
Design and deploy resilient, high‑availability architectures capable of handling large‑scale workloads and strict SLAs
Lead architectural reviews, migration assessments, and technical workshops focused on search, agentic AI, and RAG solutions
Customer Engagement
Act as a trusted advisor to technical and business stakeholders
Represent the voice of the customer and provide structured feedback to influence product direction and roadmap decisions
Support proof‑of‑value engagements and ensure customers achieve optimal performance, throughput, and relevance
Cross‑Functional Collaboration
Partner with Business Development to shape the technical components of GTM initiatives and solution offerings
Work closely with Engineering, Developer Relations, and Support to ensure a seamless customer experience across the lifecycle
Operational & Systems Expertise
Tune complex distributed systems for performance and reliability
Navigate procurement, infosec reviews, and technical contract discussions (MSAs, redlines, etc.)
Contribute to best practices for cloud‑native deployments, including Kubernetes‑based environments
What You Bring
4+ years of experience delivering technical solutions in customer‑facing roles
Strong ability to articulate complex technical concepts to diverse audiences
Experience with Python, Go, TypeScript/JavaScript, or equivalent languages
Hands‑on experience with enterprise sizing, pricing, and TCO modeling for distributed systems
Familiarity with Kubernetes and cloud‑native deployments
Experience navigating enterprise procurement and security processes
Strong ownership mindset and excellent communication skills
Nice to Have
Experience with vector databases or search technologies (e.g., SOLR, Lucene)
Background in AI/ML, semantic search, or large‑scale data systems
Exposure to high‑throughput, low‑latency architectures
What's on Offer
A remote‑first, international team working on cutting‑edge AI infrastructure
Competitive compensation, benefits, and additional perks
Flexible working hours
Hardware budget to choose your preferred setup
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.