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We are seeking a visionary Director – Integrated Service Delivery (AI & Automation) to lead large-scale, cross-functional delivery programs across Engineering and Operations streams. In this strategic role, you will oversee multi-domain programs integrating product development, cloud operations and managed services. You will drive transformation through AI-driven optimization, advanced automation and data-led service management, creating measurable business impact across global enterprises. The ideal candidate is both technically astute and strategically minded, capable of guiding diverse teams, influencing executive stakeholders and continuously evolving EPAM's delivery frameworks to align with modern service innovation practices.
Responsibilities
Requirements
Nice to have
Job ID: 150994145
Skills:
Ml, Cloud, Data Analytics, Iot, Agentic AI, managed services delivery models, Ai, enterprise platforms, Digital Engineering, governance frameworks, commercial structuring
Skills:
PostgreSQL, Kafka, API design, Networking, Datadog, Kinesis, Neo4j, Docker, Agile, Scrum, Graphql, REST, Cloudwatch, Iam, Kubernetes, AWS cloud infrastructure, CDN strategies, SLIs, event streaming, GRPC, security and compliance, observability tooling, Kanban, databases at scale, serverless, EKS, QA automation strategies, CI CD pipelines, SLOs, container orchestration, front-end ecosystem
Skills:
Java, Devops, Apis, Automation, Microservices, Intelligent automation, Cloud platforms, AI-enabled engineering, Event-driven architectures
Skills:
AI ML, Tensorflow, Software Architecture, Pytorch, Distributed Systems, LLM ecosystems, LangChain, embeddings, Cloud platforms, vector databases, Data-driven decision systems, scalable compute infrastructure, knowledge retrieval, ML workflows, EDA Tools, AI agents, Data pipelines, RAG-based architectures
Skills:
Ml, Tensorflow, Software Architecture, Pytorch, Distributed Systems, LLM ecosystems, LangChain, embeddings, chip design flows, Cloud platforms, Ai, vector databases, Data-driven decision systems, scalable compute infrastructure, knowledge retrieval, ML workflows, EDA Tools, AI agents, Data pipelines, RAG-based architectures, AI ML frameworks
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