AI Solutions Architect

• GenAI
• OpenAI
• Anthropic
• Gemini
• Azure AI
• AWS Bedrock

• AWS
• Microsoft Azure
• Google Cloud Platform
• Databricks
• Snowflake Data Cloud

• A seasoned solution architect who has evolved from traditional software or cloud architecture into the GenAI and agentic AI domain over the past few years.
• Experienced in designing and integrating systems that LLMs and agentic frameworks within modern AI ecosystems.
• 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.
• Comfortable engaging with executives, product teams and engineers alike, translating complex AI concepts into clear, actionable solution narratives.
• Pragmatic, curious, and collaborative - equally focused on technical soundness, business value and delivery readiness.
• 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.

• Prior experience with traditional AI/ML systems (model training, MLOps, data pipelines, feature stores).
• Familiarity with frameworks for agentic or multi-component pipelines.
• Exposure to Responsible AI, data privacy and governance frameworks.
• Experience working with or integrating open-source LLMs or fine-tuning frameworks.
• Hands-on experience with Databricks or Snowflake.
• Industry-recognized cloud and AI certifications (AWS, Azure, GCP).

Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.

Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.