AI Solutions Architect

Job Description

Job Description

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 View email address on ziprecruiter.com
Our 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 Do
AI 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 evaluation
API-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.js
Experience 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:
LangChain
LangGraph
Experience 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