Vice President of AI Technology Delivery Metaphor Infotech Mumbai

15.0 - 24.0 years

60 - 80 Lacs

kochi, bengaluru

Work from Office

Vice President AI Technology Delivery We are seeking a dynamic and technically strong Vice President of AI Technology Delivery to lead the end-to-end engineering, deployment, and lifecycle management of production-grade AI solutions. The ideal candidate will have deep expertise in AI/ML systems, full-stack engineering, database design, and enterprise technology frameworks, with proven experience driving AI products from prototype to scaled deployment across global business units. Key Responsibilities: Own the end-to-end delivery of AI-enabled products, from data ingestion to model deployment and integration into production environments. Manage high-performance databases (SQL, NoSQL, Graph, Vector DBs) for structured, semi-structured, and unstructured data across AI pipelines. Serve as the technical custodian for AI products, ensuring alignment with cloud infrastructure (Azure, AWS, GCP) and enterprise security policies. Lead and scale engineering teams, fostering skill development, engagement, and retention. Required Skills and Expertise: Area & Skill set: AI/ML Technologies: Hands-on experience with Python, PyTorch/TensorFlow, LangChain, LLMs (e.g., GPT, Claude, Falcon), Hugging Face, ONNX Full Stack: React.js/Next.js, Node.js/Express, Django/FastAPI, GraphQL, REST APIs DevOps/MLOps : Docker, Kubernetes, Airflow, MLflow, GitHub Actions, Azure DevOps, Ray, Terraform Data & Databases: PostgreSQL, MongoDB, Redis, Neo4j, Milvus/Weaviate/FAISS, Azure Data Lake, Snowflake Cloud Platforms: Azure AI Studio, AWS SageMaker, Google Vertex AI Architecture: Event-driven, Microservices, Serverless, API Gateways, Hybrid Edge-to-Cloud Design Security & Compliance: OAuth2, RBAC, Zero Trust, PII masking, Audit trails, Model explainability (SHAP, LIME) Delivery Frameworks: Agile, Scrum, SAFE Agile, JIRA, Confluence, GitHub Projects Qualifications: Masters or Ph.D. in Computer Science, Engineering, or a related field. Proven experience delivering AI platforms and digital products at scale. Strong focus on AI solution uptime, model performance (latency, accuracy), and scalability. Experience driving developer productivity through metrics such as PR velocity, commit quality, and mean time to recovery (MTTR). Demonstrated ability to lead and advance team engagement, retention, and skill development across engineering pods. This is an excellent opportunity to shape AI technology delivery in a fast-evolving environment and lead a high-impact global engineering team. Apply/Explore vivek@jobpoint.co.in Warm Regards, VIVEK | JOBPOINT vivek@jobpoint.co.in | www.jobpoint.co.in www.linkedin.com/in/jobpoint

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