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Senior Forward Deployed Engineer - AI Solutions

Publicis Sapient · Bogota

New
Senior 🇬🇧 English
Java Azure Azure AI Services Azure OpenAI Copilot Claude RAG Docker Kubernetes REST APIs LangChain Semantic Kernel LlamaIndex

Job description

About the role

Publicis Sapient is looking for a Senior Forward Deployed Engineer to work at the intersection of software engineering, AI and client delivery. You will partner directly with stakeholders to design, build and deploy enterprise-grade AI solutions, helping clients accelerate AI adoption with technologies such as Retrieval Augmented Generation (RAG), Microsoft Copilot, Claude, Azure AI services and Java-based application development.

Key responsibilities

  • Design, develop and deploy enterprise AI solutions using RAG architectures, large language models and AI orchestration frameworks.
  • Build client-facing AI applications in Java with modern cloud-native practices.
  • Integrate and optimize AI platforms including Microsoft Copilot, Claude, Azure OpenAI and other Azure AI services.
  • Partner with clients to turn business problems into technical solutions and speed up delivery.
  • Develop scalable APIs, services and integrations, and implement vector search, knowledge retrieval, prompt engineering and grounding strategies.
  • Support deployment, monitoring and continuous improvement of AI applications in Azure environments.
  • Collaborate with engineers, architects, product managers and domain experts, and contribute to AI accelerators and reusable assets.

Required profile

  • 5+ years of professional software engineering experience.
  • Bachelor's degree in Computer Science, Engineering or a related technical discipline.
  • Experience delivering AI solutions directly within client environments.
  • Knowledge of agentic AI frameworks, autonomous workflows and multi-agent architectures.
  • Experience with Azure AI Foundry, Azure Machine Learning or enterprise AI platforms.
  • Exposure to LangChain, Semantic Kernel, LlamaIndex or similar AI orchestration frameworks.
  • Experience with containerization and cloud deployment tools such as Docker and Kubernetes.
  • Understanding of enterprise architecture, security, compliance and scalable cloud design.
  • Contributions to AI accelerators, reusable frameworks, open-source projects or internal innovation initiatives.

Required skills

  • Strong Java and enterprise application development.
  • RAG solutions, LLMs and generative AI.
  • Azure, Azure AI Services, Azure OpenAI, App Services, Functions and storage.
  • REST APIs and integration of enterprise systems.
  • Prompt engineering, model evaluation, AI governance and responsible AI.
  • Vector databases, semantic search, document ingestion pipelines and knowledge management.
  • Agile delivery.

What we offer

  • Inclusive workplace promoting diversity and collaboration.
  • Ongoing learning and development opportunities.
  • Competitive compensation and benefits, including health coverage for you and your family, generous paid leave and holidays, wellness program and employee assistance.
  • Flexibility to support work-life balance.

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Published 3 hours ago

Expires 1 month from now

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