Vice President of AI Technology Delivery

2 weeks ago

Bengaluru Kochi, India Metaphor Infotech Mumbai Full time US$ 1,50,000 - US$ 2,00,000 per year

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: , , 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

Warm Regards,

VIVEK | JOBPOINT

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