AI Solutions Architect
kasmo globalDublin (OH)
About the role
Role: AI Solutions Architect
Location: Cincinnati, OH (Local Preferred; Open to Strong Remote Candidates)
Duration:
Contract through February 2027 (fiscal year ends/begins), with a high likelihood of extension/conversion Send Profiles to sandra@isoft-services.comOur client is expanding its AI capabilities and seeking a Forward Deployed Engineer who combines the mindset of an AI Solutions Architect with the hands-on ability to design, build, and deploy production-grade AI systems. This role will align with one of two high-impact teams based on experience and business needs: What You'll DoAI Solution Architecture & Delivery Architect, design, and deploy AI-powered applications across enterprise and customer-facing platforms. Build and deliver production-grade solutions leveraging: Large Language Models (LLMs) Agent-based systems Retrieval-Augmented Generation (RAG) Workflow orchestration and automation Decisioning and task-execution agents Rapidly prototype, validate, and scale AI solutions from concept through production. Embed AI capabilities into existing systems through APIs, microservices, and cloud-native architectures. Develop scalable AI services and integrations that support enterprise-wide adoption. Design human-in-the-loop workflows for high-impact AI use cases. Collaborate closely with cross-functional stakeholders to solve ambiguous business problems. Personalization, Experimentation & Decisioning
Required Qualifications:
- 7+ years of experience in Software Engineering, Solution Architecture, AI/ML Engineering, or related disciplines.
- Proven experience building and deploying production-grade AI applications.
- Hands-on experience integrating Large Language Models into real-world business solutions.
- Strong experience with:
- Prompt engineering and evaluationAPI-driven architectures
- Microservices development
- Distributed systems
- Experience designing and deploying:
- Retrieval-Augmented Generation (RAG) solutions
- Agent-based AI systems
- Workflow orchestration platforms
- Strong backend engineering experience with:
- Python (FastAPI or similar)
- Node.jsExperience integrating frontend applications (React preferred).Cloud platform experience, preferably Microsoft Azure.
- Ability to thrive in fast-paced, agile environments with evolving priorities.
- Strong communication skills and the ability to partner directly with business stakeholders.
Preferred Qualifications:
Experience with experimentation and optimization platforms.
Familiarity with:
- A/B testing frameworks
- Personalization platforms
- Multi-armed bandit approaches
- Experience with LLM orchestration frameworks such as:
- LangChainLangGraphExperience with event-driven and asynchronous architectures.
- Knowledge of AI observability, including:
- Latency monitoring
- Cost tracking
- Token utilization analysis
- Familiarity with AI governance, safety, and risk management practices.
- Exposure to large-scale analytics and cloud data platforms.
- Platform & DevOps Experience
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