Job ID: JOB_ID_2740
Role Overview
The AI Architect will be responsible for architecting, designing, and delivering enterprise-scale AI and Generative AI platforms. This role focuses on building AI-native, scalable, secure, and compliant solutions, leveraging GenAI, Agentic AI, decision intelligence, and data platforms to enable intelligent, automated, and explainable business outcomes. The architect will work closely with business stakeholders, product teams, data engineers, and platform teams to translate AI strategy into production-ready architectures.
Key Responsibilities
- Define and own end-to-end AI architecture for enterprise solutions, from data ingestion to AI-driven decisioning and insights.
- Design AI-native platforms where GenAI and ML capabilities are embedded as core services, not bolt-ons.
- Establish modular, reusable, and composable AI components aligned to enterprise architecture standards.
- Ensure scalability, performance, reliability, and security of AI systems in production.
- Architect Generative AI solutions, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Multi-agent orchestration patterns.
- Define agent workflows, memory/context handling, tool integration, and decision confidence mechanisms.
- Guide responsible selection and usage of cloud-based and open-source LLMs.
- Design AI solutions leveraging modern data platforms, feature stores, vector databases, and knowledge graphs.
- Define MLOps / LLMOps pipelines for training, evaluation, deployment, monitoring, and lifecycle management.
- Implement mechanisms for model versioning, drift detection, cost optimization, and continuous improvement.
- Ensure AI solutions adhere to enterprise security, privacy, and compliance requirements.
- Embed Responsible AI principles, including explainability, auditability, bias mitigation, and human-in-the-loop controls.
- Define governance frameworks for model usage, access control, and operational oversight.
- Act as technical thought leader for AI initiatives across delivery teams.
- Collaborate with product owners, UX designers, data engineers, cloud engineers, and DevOps teams.
- Provide architecture guidance, reviews, and mentorship to senior engineers.
- Communicate complex AI concepts clearly to technical and non-technical stakeholders.
Technical Requirements
- Strong experience with Generative AI and Agentic AI architectures.
- Hands-on knowledge of LLMs, embeddings, RAG pipelines, prompt engineering, and agent frameworks.
- Proficiency in Python for AI/ML development.
- Experience with ML/DL frameworks such as TensorFlow, PyTorch, scikit-learn.
- Knowledge of data engineering, feature engineering, and analytics pipelines.
- Familiarity with vector databases, graph databases, and search engines.
- Experience designing AI solutions on cloud platforms (AWS, Azure, or GCP).
- Strong understanding of cloud-native, microservices, and API-driven architectures.
- Exposure to observability, monitoring, and logging for AI systems.
- Knowledge of data privacy, security best practices, and enterprise compliance standards.
Qualifications
- 12-16 years of overall IT experience.
- 8+ years of experience in AI/ML solution or enterprise architecture.
- Proven experience delivering production-grade AI platforms at scale.
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
Special Requirements
Onsite Cincinnati, OH; Minimum 15 years experience required.
Compensation & Location
Salary: $70 – $70 per year
Location: Cincinnati, OH
Recruiter / Company – Contact Information
Recruiter / Employer: Brillius Inc.
Email: jay.s@brillius.com
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