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Get things Solvd. | Software Development & QA
AI Solutions Architect
Location
United States
Posted
54 days ago
Salary
0
Seniority
Lead
Job Description
AI Solutions Architect
Solvd, Inc.
• 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.
Job 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.
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