AI Practice Head – Engineering

5 days ago

bangalore, India Elfonze Technologies Full time

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 platforms Evaluate 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

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