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Ai Practice Head – Engineering & Innovation

Ai Practice Head – Engineering & Innovation

Elfonze TechnologiesBengaluru, Republic Of India, IN
1 day ago
Job description

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 careers@elfonze.com

    Create a job alert for this search

    Head Engineering • Bengaluru, Republic Of India, IN

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