Key Responsibilities
- Lead training and enablement for IVA Studio, ensuring users understand and adopt the tool effectively for their immediate business needs and future goals.
- Collaborate with Sales and Product teams talign learning initiatives with departmental goals and customer needs.
- Build strategic partnerships with internal teams tco-create innovative learning solutions.
- Troubleshoot challenges with customers, partners and internal teams and provide guidance toptimize their IVA solutions and encourage self-sufficiency.
- Document processes, learning materials, and strategies with clarity and precision for all different levels.
- Experiment with latest product releases and emerging technologies tcontinuously improve personal expertise and future learning experiences.
- Develop and deploy solutions leveraging Large Language Models (LLMs) such as GPT, Claude, or open-source alternatives for enterprise use cases.
- Design and implement Retrieval-Augmented Generation (RAG) pipelines tenhance LLM performance with domain-specific knowledge.
- Apply Model Customization Prompting (MCP) techniques including fine-tuning, prompt engineering, and instruction tuning toptimize model outputs.
- Build and orchestrate Agentic AI systems, enabling autonomous agents tplan, reason, and act in complex environments.
- Design and manage Agent-to-Agent (A2A) communication protocols for collaborative multi-agent systems.
- Collaborate with cross-functional teams tintegrate AI capabilities intproducts and services, ensuring scalability and reliability.
- Stay current with advancements in generative AI, agent frameworks (e g, LangChain, AutoGen, CrewAI), and foundation model APIs.
- Evaluate and benchmark LLM performance using metrics such as factuality, coherence, latency, and cost-efficiency.
- Ensure ethical and responsible AI practices, including bias mitigation, explainability, and data privacy.
Required Skills Capabilities
- Conversational AI Implementation : Proven success in deploying and supporting real-world IVA solutions.
- AI Fluency : Strong understanding of AI technologies with a proactive approach texperimentation and integration intIVA/IVR.
- Programming Familiarity : Comfortable with coding and scripting (especially JavaScript, Python, MQL) tsupport problem solving, optimization, and technical understanding in IVA Studio.
- Technical Translation : Skilled at translating complex technical language intclear, practical guidance for diverse audiences.
- Instructional Design Enablement: Ability tcreate engaging, effective learning experiences tailored tuser needs and business goals.
- Documentation: Ability tcreate clear, comprehensive, and scalable documentation.
- Cross-Functional Collaboration : Deep understanding of the goals, workflows and communication styles of Sales, Product, and Delivery.
- User Enablement Expertise : Experienced in consulting, troubleshooting, and guiding users through change with a focus on building confidence and independence.
- Strong understanding of transformer architectures and LLM internals.
- Experience with vector databases (e g, FAISS, Pinecone, Weaviate) for RAG implementations.
- Familiarity with agent frameworks and orchestration tools.
- Proficiency in Python and ML libraries (e g, Hugging Face, LangChain, OpenAI SDK).
- Prior experience in deploying AI solutions in production environments.
Recommended Soft Skills Qualities
- Empowerment-Focused Training : Committed thelping people work independently, not just doing work for them.
- Patience Support : Approaches learning and troubleshooting with understanding and calm persistence.
- Fearless Experimentation : Willing ttry new approaches and technologies, embracing failure as part of growth.
- Optimistic Problem-Solving : Tackles challenges with a why notattitude, followed by thoughtful research tfind the best solution.
- Curiosity Innovation : Constantly seeks better ways tteach, communicate, and connect IVA capabilities treal-world needs.
