7 publicaciones de empleo destacadas de python engineer with cloud experience en desde casa (¡Están contratando!)

Technical Delivery Manager AI
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Experiencia en ventas
- Python
Senior Full Stack Developer
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
Engineering Manager
Nexaminds —Desde casa
- Home Office (Desde casa)
- Azure
- Administración de personal
- DevOps
Postulación rápida
6d
Data Management and BI Senior Executive, GOC
WPP Media —Desde casa
- Home Office (Desde casa)
- Azure
- Administración de personal
- DevOps
- Vacaciones adicionales o permisos con goce de sueldo
- Seguro de vida
14d
Lead Full Stack Developer
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
Engineering Manager Sr - DF072IO
Coderio —Desde casa
- Home Office (Desde casa)
- Azure
- Administración de personal
- Inglés
Postulación rápida
Senior Salesforce Developer
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- Administración de personal
- Experiencia en ventas
- Vacaciones adicionales o permisos con goce de sueldo
14d

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Technical Delivery Manager AI
EPAM Systems, Inc. —Desde casa
Background in working with AWS or GCP cloud platforms. Ensure the development of custom agents aligns with performance, scalability and integration requirements…
Senior Full Stack Developer
EPAM Systems, Inc. —Desde casa
Collaborate with product managers, designers and other engineers to deliver high-quality solutions. Hands-on experience with cloud technology stacks (e.g., AWS,…

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Technical Delivery Manager AI

EPAM Systems, Inc. -
Desde casa

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Información del empleo

Cualificaciones

Derecho
Experiencia en ventas
Google Cloud Platform
Python

Descripción completa del empleo

We are seeking a skilled and dynamic Technical Delivery Manager AI to lead the design, development and deployment of cutting-edge AI and agent-based solutions for our clients. This role involves bridging technical expertise with business needs to deliver scalable, high-quality solutions that meet enterprise demands.

Responsibilities

Lead the design and deployment of AI and agent-based solutions from initial discovery to production readiness
Define scalable architectures for custom agents, AI integrations and cloud-native AI applications
Collaborate with engineers, architects, data scientists, analysts and product stakeholders to ensure alignment and technical excellence
Translate client requirements into actionable technical designs and implementation plans
Provide leadership for solutions using platforms such as Google ADK, Vertex AI, AWS Bedrock or AgentCore
Ensure the development of custom agents aligns with performance, scalability and integration requirements with enterprise systems
Resolve complex issues spanning AI layers, cloud platforms and systems integration
Drive architectural decisions for LLM applications, including areas like memory, context handling and observability
Partner with delivery and client teams to align on strategies, timelines and risk mitigation
Act as a bridge between pre-sales and implementation phases to ensure seamless execution
Communicate effectively with customers and stakeholders in USA-based engagements
Contribute to reusable patterns, accelerators and best practices for enterprise AI solutions

Requirements

At least 2 years of experience in leading technical design, solution architecture or delivery roles
Knowledge of AI, ML and cloud-based enterprise solution patterns
Proficiency in Python programming
Background in working with AWS or GCP cloud platforms
Familiarity with modern AI approaches, specifically LLM-based applications
Expertise in systems integration, APIs and scalable architectures
Capability to lead cross-functional, agile teams in distributed environments
Strong communication and client-facing skills tailored for USA-based stakeholders
Analytical skills to troubleshoot and solve complex technical challenges
Knowledge of distributed systems, scalable architecture and solution evolution

Nice to have

Experience designing or implementing custom agents and agent-based solutions
Familiarity with RAG, MCP and A2A concepts
Exposure to platforms such as Google ADK, Vertex AI, AWS Bedrock or AgentCore
Background in pre-sales activities like proposal development or solution shaping
Qualifications in regulated environments or projects involving governance, privacy or compliance

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python engineer with cloud experience empleos en desde casa

Technical Delivery Manager AI

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Data Management and BI Senior Executive, GOC

Lead Full Stack Developer

Engineering Manager Sr - DF072IO

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