Job ID: JOB_ID_3184622
Job Overview
We are seeking a highly experienced Generative AI Architect with a minimum of 15 years of professional experience to lead the design and implementation of advanced AI systems. This role requires deep expertise in architecting Generative AI, Agentic AI, and ML systems at an enterprise scale, with a strong preference for cloud-native architectures, particularly AWS. You will be instrumental in building and deploying sophisticated AI solutions, leveraging LLMs, vector databases, and robust MLOps practices. This is a hybrid role, with opportunities to work from Austin, TX, Tempe, AZ, Charlotte, NC, or New York, NY.
Key Responsibilities
- Architect and design enterprise-scale Generative AI, Agentic AI, and Machine Learning systems.
- Lead the development of cloud-native architectures, with a primary focus on AWS.
- Implement microservices, Kubernetes, and event-driven systems within AI solutions.
- Hands-on experience with Large Language Models (LLMs), vector databases, and embeddings.
- Develop and implement evaluation frameworks, guardrails, and fine-tuning strategies for AI models.
- Utilize orchestration frameworks to manage AI model lifecycles.
- Develop and maintain CI/CD pipelines for Machine Learning models.
- Implement model versioning, monitoring, and automated evaluation processes.
- Collaborate with cross-functional teams to integrate AI solutions into business processes.
- Ensure AI systems are designed and deployed under compliance constraints, especially in regulated industries.
- Drive strategic architecture and systems thinking within the AI domain.
- Foster experimentation and data-driven decision-making in AI development.
Required Qualifications
- Minimum 15 years of professional experience.
- 2+ years architecting Generative AI, Agentic AI, or ML systems at enterprise scale.
- 6+ years of experience in cloud-native architecture (AWS preferred), including microservices, Kubernetes, and event-driven systems.
- 5+ years of hands-on experience with LLMs, vector databases, embeddings, evaluation frameworks, guardrails, fine-tuning, and orchestration frameworks.
- 8+ years of experience in Python programming.
- Proficiency in C#, Java, or TypeScript is a plus.
- 6+ years of experience in MLOps, including CI/CD for ML, model versioning, monitoring, and automated evaluation.
- Strong understanding of AI Fluency & Model Lifecycle Expertise.
- Excellent Cross-Functional Collaboration skills.
Preferred Qualifications
- Bachelors degree in Computer Science, Engineering, AI/ML, or equivalent experience.
- Relevant certifications such as AWS Solutions Architect Professional, AWS Machine Learning Specialty, or Terraform Associate.
- Experience in regulated industries.
- Experience designing AI systems under compliance constraints.
Core Competencies
- Strategic Architecture & Systems Thinking
- AI Fluency & Model Lifecycle Expertise
- Experimentation & Data-Driven Decision-Making
- Cross-Functional Collaboration
Special Requirements
Hybrid role. Locations: Austin, TX or Tempe, AZ or Charlotte, NC or New York, NY. Visa constraints: Not specified. Screening steps: Proper Linkedin with matching skilled resume only considered. Interview modes: Not specified. Domain restrictions: Not specified. Keywords: csharp continuous integration continuous deployment artificial intelligence machine learning
Compensation & Location
Salary: $90 – $120 per year
Location: Austin, TX
Recruiter / Company – Contact Information
Recruiter / Employer: Exaways
Email: aravindh.k@exaways.com
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