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.
Solvd is seeking an AI Solutions Architect to design and lead cutting-edge GenAI and agentic AI solutions for our clients. In this role, you will shape how large language models, orchestration frameworks and enterprise systems come together to deliver measurable business outcomes. 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.
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.
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).
When you join Solvd, you'll…
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.
Ready to make an impact?
If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.
I agree to the processing of my personal data given in the recruitment process by Solvd Inc., with its principal place of business at 1646 N California Blvd, Suite 515, Walnut Creek, CA 94596, United States, for the purpose of future recruitment processes.
You can withdraw your consent at any time, however it will not affect the lawfulness of the processing performed on this basis prior to such withdrawal.
The controller of your personal data is Solvd Inc., with its principal place of business at 1646 N California Blvd, Suite 515, Walnut Creek, CA 94596, United States. More information on processing your personal data you can find in the Privacy Policy.