Role Overview
Elfonze Technologies is seeking a seasoned digital technologist who has successfully transitioned from Full-Stack / Digital Engineering (Java, Angular, React, Node.js, Python) into the AI and Intelligent Systems domain .
The AI Evangelist will architect and evangelize Elfonze’s AI vision — defining strategy, building internal AI capabilities, and integrating next-gen intelligence across our digital, cloud, and Oracle ecosystems.
This role is ideal for a hardcore technology leader who can bridge the gap between engineering excellence and AI innovation , enabling the organization to scale AI adoption and productize its capabilities.
Key Responsibilities
1. AI Strategy & Leadership
- Define and execute the AI transformation roadmap for Elfonze across service lines (Digital, Oracle, Cloud, and Product).
- Identify opportunities to embed LLMs, GenAI, and automation in delivery, pre-sales, and internal systems.
- Build the internal AI Guild / Center of Excellence , set technology standards, and guide implementation teams.
2. Engineering & Productization
Architect and deliver AI-powered applications and platforms using modern frameworks and APIs.Lead development of AI-integrated microservices, chatbots, document intelligence systems, and autonomous agents.Collaborate with delivery and digital teams to infuse AI into existing platformsEvaluate and deploy AI tools and frameworks — LangChain, LlamaIndex, TensorFlow, PyTorch, Azure OpenAI, Oracle AI Services, Hugging Face, etc.3. AI Infrastructure & MLOps
Design and maintain end-to-end AI pipelines , covering model selection, vectorization, prompt orchestration, and deployment.Leverage Docker, Kubernetes, and cloud-native MLOps frameworks (MLflow, Weights & Biases) for model lifecycle management.Implement vector databases (Pinecone, FAISS, Chroma) and retrieval-augmented generation (RAG) architectures.Ensure compliance and governance across AI models, APIs, and data access layers.4. AI Evangelism & Mentorship
Conduct internal workshops and hands-on sessions on LLMs, prompt engineering, and AI integration best practices .Mentor teams on transitioning from traditional full-stack development to AI-augmented engineering .Represent Elfonze in external AI events, Oracle AI summits, and technology conferences.Contribute to AI GTM collaterals, proposals, and client solution accelerators .Experience & Qualifications
8–14 years total experience in Digital Engineering, with 2–3 years of hands-on AI / GenAI solution experience.Proven track record of delivering scalable digital applications (microservices, cloud-native, UI / UX-focused).Strong understanding of LLM architecture, embeddings, prompt design, and API-based AI integration.Experience in building or deploying AI assistants, Copilot-style productivity tools, or domain-specific GenAI apps.Cloud certification or AI specialization (Azure AI Engineer, TensorFlow Developer, Oracle AI) preferred.How to Apply
Send your updated profile along with a brief statement on
“My approach to driving AI adoption and innovation at Elfonze” to careers@elfonze.com
