Gen AI Architect

Job Title: Gen AI Architect

Work Model: Onsite

Exp: 10+ years only

Location: Phoenix AZ

Job Description:
Technical Expertise:

Strong programming skills in Java and familiarity with API-driven backend development.

Experience with AI/ML frameworks like TensorFlow, PyTorch, Hugging Face, or equivalent.

Proficiency in building and deploying applications on OpenShift or other container orchestration platforms.

• Generative AI Experience:

Proven experience in designing and deploying generative AI solutions, including LLM-based applications.

Understanding of prompt engineering, fine-tuning, and training generative models.

• System Design and Architecture:

Ability to design scalable, fault-tolerant, and secure AI systems.

Knowledge of data governance, compliance, and model explainability in enterprise environments.

• Cloud and DevOps:

Experience with CI/CD pipelines, containerization, and orchestration tools like Kubernetes.

Familiarity with hybrid cloud and on-premises systems.

Key Responsibilities
1. Architectural Leadership:

• Design and develop an end-to-end architecture for integrating generative AI capabilities into the current virtual assistant.
• Ensure solutions are model-agnostic, vendor-neutral, and adaptable across multiple platforms.
• Lead and mentor the technical team to implement and optimize the architecture.

1. Generative AI Integration:

• Evaluate and select generative AI models and frameworks suitable for conversational AI enhancements.
• Build, fine-tune, and integrate generative models for tasks like response generation, summarization, and personalized interactions.
• Optimize performance, scalability, and accuracy for real-world use cases.

1. Platform Migration and Scalability:

• Ensure seamless integration of backend APIs, maintaining high availability and performance.
• Develop a robust CI/CD pipeline for deploying and managing AI models and services on OCP.

1. Technical Implementation:

• Stay hands-on with coding, prototyping, and testing AI components.
• Collaborate with cross-functional teams, including backend engineers, DevOps, and data scientists, to deliver integrated solutions.
• Build monitoring and alerting systems for AI model performance and application reliability.

1. Collaboration and Stakeholder Management:

• Work closely with product managers, business stakeholders, and engineers to align technical solutions with business goals.
• Provide technical thought leadership, documentation, and knowledge-sharing to support team growth and alignment.
  Preferred Qualifications
  Experience working with virtual assistant platforms like Google Dialogflow or similar.
  Knowledge of multiple generative AI models, including proprietary and open-source solutions.
  Understanding of NLP, conversational AI, and related frameworks.
  Experience with migrating legacy systems to modern cloud-native architectures.