AI Solutions Architect

Solvd, Inc.

AI Solutions Architect at Solvd Inc. leading GenAI solution designs and collaborating across teams for enterprise transformation.

Posted 4/14/2026full-timeRemote • 🇺🇸 United StatesSeniorLeadWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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.

ATS Keywords

✓ Tailor your resume

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