[Hiring] AI Architect @Veracity

Role Description

The AI Architect will lead the design, development, and implementation of enterprise-scale conversational AI solutions. The candidate will collaborate with business stakeholders, technical teams, and leadership to deliver intelligent, innovative, and scalable AI-powered applications that enhance user interactions and drive business outcomes.

Key Responsibilities

• AI Solution Architecture & Design
  • Architect scalable and enterprise-grade conversational AI solutions using Kore.AI and other industry-leading AI platforms.
  • Design end-to-end system architectures that integrate bots with backend systems, databases, and third-party enterprise platforms (e.g., CRM, ERP, ticketing tools).
  • Define and implement best practices for AI model deployment, orchestration, and monitoring.
• AI & Bot Development
  • Oversee the design, development, and deployment of intelligent bots, ensuring they meet functional and performance requirements.
  • Implement advanced NLP/NLU techniques for accurate intent detection, sentiment analysis, and contextual understanding.
  • Utilize Generative AI models to develop sophisticated conversational workflows and natural language outputs.
• Prompt Engineering
  • Craft and optimize prompts for Generative AI models (e.g., GPT) to ensure accurate, consistent, and business-aligned outputs.
  • Develop reusable prompt templates to accelerate AI solution delivery.
  • Collaborate with stakeholders to translate business requirements into task-specific AI solutions.
• Enterprise Integration
  • Lead integration of conversational AI solutions with enterprise applications (e.g., Salesforce, ServiceNow, SAP).
  • Leverage APIs, SDKs, and microservices to enable seamless data exchange between bots and backend systems.
  • Design robust security architectures ensuring secure, compliant bot interactions.
• AI Model Training & Optimization
  • Analyze conversational data, user behavior, and system performance to identify improvement opportunities.
  • Continuously train and optimize NLP and Generative AI models for improved accuracy, scalability, and response quality.
  • Define monitoring KPIs to measure bot effectiveness and success metrics.
• Leadership & Innovation
  • Provide technical leadership to cross-functional teams (e.g., developers, UX/UI designers, data engineers).
  • Stay updated on emerging advancements in AI, NLP, Generative AI, and Kore.AI to introduce innovative, future-proof solutions.
  • Advocate for AI adoption across the organization, aligning solutions with business goals and technical strategy.

Qualifications

• Proven experience in AI architecture and solution design with hands-on expertise in Kore.AI and other conversational AI platforms.
• Deep understanding of NLP/NLU techniques, such as tokenization, named entity recognition, sentiment analysis, and conversational AI workflows.
• Extensive experience with Generative AI models (e.g., GPT, BioGPT) and Prompt Engineering strategies.
• Strong programming skills in Python, Node.js, or JavaScript.
• Hands-on experience designing solutions with REST APIs, webhooks, and microservice-based architectures.
• Familiarity with cloud platforms (e.g., Azure, AWS, GCP) for AI model deployment and orchestration.
• Experience in data pipelines and model performance monitoring tools.
• Proficiency with Kore.AI and other AI/ML frameworks (e.g., TensorFlow, PyTorch).
• Familiarity with tools for version control, CI/CD pipelines, and enterprise monitoring (e.g., Git, Jenkins, Azure DevOps).
• Strong leadership, problem-solving skills, and the ability to drive AI initiatives at an enterprise scale.
• Excellent communication and stakeholder management skills to align technical designs with business goals.
• Strategic mindset with a passion for leveraging AI to solve complex challenges.

Preferred Qualifications

• Master's or Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
• Experience implementing conversational AI solutions in industries such as banking, healthcare, retail, or similar enterprise domains.
• Knowledge of Voice AI and multimodal conversational experiences (e.g., text, voice, visual).
• Familiarity with AI ethics, security best practices, and compliance frameworks in enterprise solutions.