Solvd, Inc.

AI Solutions Architect

Solvd, Inc.

full-time

Posted on:

Location Type: Remote

Location: United States

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Job Level

SeniorLead

Tech Stack

AWSAzureCloudGoogle Cloud Platform

About the role

  • Lead the design of GenAI / Agentic AI-enabled solution architectures and buy vs build decisions that balance innovation, feasibility and scalability.
  • Actively participate in presales partnering with sales representatives, deal architects, product analysts and technology SMEs to define technical scope, implementation roadmap and effort estimates.
  • Translate high-level business use cases into detailed AI system designs covering model strategy, data access, orchestration and integration patterns.
  • Evaluate and select appropriate AI frameworks, platforms and tools (e.g., LLMs, vector databases, orchestration frameworks, cloud AI services).
  • Create architectural artifacts, proof-of-concepts, and technical documentation to support proposals and client discussions.
  • Present and defend architectural decisions to both business and technical stakeholders during presales and early project stages.
  • Ensure proposed solutions adhere to security, compliance, and Responsible AI principles.
  • Stay ahead of industry trends, evaluate new tools and adoption frameworks.

Requirements

  • 12+ years of experience in IT, including at least 5 years in solution architecture roles focused on software or cloud systems integration and distributed application design within consulting environments.
  • 2+ years of hands-on experience architecting GenAI or agentic AI systems using modern LLM ecosystems (e.g. OpenAI, Anthropic, Gemini, Azure AI, AWS Bedrock).
  • Experience supporting presales solutioning or proposal development for AI engagements.
  • Proven ability to translate business or product requirements into scalable AI solution architectures.
  • Strong understanding of LLM orchestration, retrieval-augmented generation (RAG), vector databases and prompt engineering principles.
  • Understanding of cost modeling for AI workloads (token usage, inference scaling, hosting models).
  • Proficiency with at least one major cloud platform (AWS, Azure (preferred), or GCP) and its AI/ML service offerings.
  • Demonstrated experience leading technical discussions with both engineering and non-technical stakeholders in presales or early delivery phases.
  • Strong command of software engineering fundamentals, API design, and integration patterns.
  • Knowledge of modern software delivery practices (CI/CD, containerization, observability, DevSecOps).
  • Excellent communication, presentation and documentation skills, with the ability to articulate complex solutions clearly and persuasively.
Benefits
  • Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
  • Be part of a global team with equal opportunities for collaboration across continents and cultures.
  • Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
GenAI architectureAgentic AI systemsLLM ecosystemsRAG principlesvector databasesprompt engineeringAPI designcloud systems integrationcost modeling for AI workloadssoftware engineering fundamentals
Soft Skills
communication skillspresentation skillsdocumentation skillsstakeholder engagementtechnical discussion leadership