Solvd, Inc.
Presales AI Solutions Architect
USA · Principal
Sponsorship not specifiedDetected 86 days ago
DatabricksVector DatabasesAWSGCPAzureCloud PlatformsCI/CDAPI DevelopmentMachine LearningData EngineeringLLMsRAGAgentic AIMLOpsAI OrchestrationCommunicationCollaboration
About the role
- Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence.
- Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.
- You'll work closely with presales and delivery teams to define architectures that balance innovation with practicality - ensuring our solutions are not only visionary but also secure, scalable and ready for production.
Responsibilities
- Lead the design of GenAI / Agentic AI-enabled solution architectures and buy vs build decisions that balance innovation, feasibility and scalability.
- Translate high-level business use cases into detailed AI system designs covering model strategy, data access, orchestration and integration patterns.
- Create architectural artifacts, proof-of-concepts, and technical documentation to support proposals and client discussions.
- Proficient at combining established engineering patterns with emerging AI capabilities to deliver reliable, production-ready solutions.
- Skilled in guiding teams through ambiguity - able to prototype rapidly, validate architectural assumptions and converge toward delivery-ready designs.
- Strong command of software engineering fundamentals, API design, and integration patterns.
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.
- Demonstrated experience leading technical discussions with both engineering and non-technical stakeholders in presales or early delivery phases.
- 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.
- Prior experience with traditional AI/ML systems (model training, MLOps, data pipelines, feature stores).
- Familiarity with frameworks for agentic or multi-component pipelines.
Nice to have
- Proficiency with at least one major cloud platform (AWS, Azure (preferred), or GCP) and its AI/ML service offerings.
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