What are the responsibilities and job description for the AI Architect position at Avance Consulting?
Job Title: AI Architect
Location: Cincinnati, Ohio
Job Type: Permanent
Job Description
We are seeking an experienced AI Architect to lead the design and implementation of enterprise-scale AI and machine learning solutions. The ideal candidate will possess deep expertise in AI/ML technologies, cloud architecture, Java-based application development.
This role involves defining AI strategy, designing scalable cloud-native architectures, collaborating with business and technical teams, and driving innovation through intelligent automation and advanced analytics solutions.
Key Responsibilities
Design and architect enterprise AI/ML solutions aligned with business objectives.
Develop scalable and secure cloud-native architectures using Microsoft Azure.
Lead the implementation of AI-powered applications, automation, and predictive analytics solutions.
Collaborate with data scientists, developers, DevOps teams, and business stakeholders.
Design AI model deployment pipelines and MLOps frameworks.
Build and integrate AI services using Azure AI, Cognitive Services, and Machine Learning platforms.
Provide technical leadership for Java-based backend services and AI integrations.
Evaluate emerging AI technologies and recommend innovative solutions.
Define best practices for AI governance, security, scalability, and performance.
Mentor development teams and conduct architecture/design reviews.
Ensure compliance with enterprise architecture standards and cloud security policies.
Required Skills & Qualifications
Technical Skills
Strong experience in AI/ML solution architecture.
Hands-on experience with Azure AI services and cloud-native application design.
Expertise in:
Machine Learning
Deep Learning
NLP/Generative AI concepts
Strong Java development experience.
Experience designing RESTful APIs and microservices architecture.
Strong understanding of cloud architecture principles and distributed systems.
Experience with containerization technologies like Docker and Kubernetes.
Knowledge of CI/CD pipelines and DevOps practices.
Preferred Qualifications
Experience Required
10 years of overall IT experience.
Proven experience delivering enterprise AI solutions in production environments.