CLIENT : Persistent Systems/Wells Fargo

Role: Gen AI Architect

Location: Preferred Work Location: Phoenix, AZ

Secondary Work Location(s): Bay Area, CA / Charlotte, NC

Duration: Contract

Rate: $72 on c2c MAX

We are seeking a hands-on Generative AI Architect to lead the enhancement of our existing virtual assistant, by incorporating state-of-the-art generative AI capabilities. The ideal candidate will design, implement, and optimize solutions that are model, vendor, and platform agnostic. 

Required Qualifications

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.

Soft Skills:

• Strong problem-solving skills and a hands-on approach to tackling technical challenges.
• Excellent communication and collaboration skills to influence diverse technical and non-technical stakeholders.

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.

2. 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.

3. 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.

4. 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.

5. 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 Dialog flow 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.