Senior Engineer
1 settimana fa
, Italia
Luxoft
Tempo pieno
Gratuito con email o Google
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Project descriptionWe are seeking a Palantir Foundry & AIP Engineer with hands-on experience across the full Foundry ecosystem and Palantir’s Artificial Intelligence Platform (AIP). This role goes beyond data engineering: you will design, build, and operationalize AI-powered workflows, agents, and applications that drive tangible business outcomes. The ideal candidate is a self-starter, able to translate complex business needs into scalable technical solutions, and confident working directly with stakeholders to maximize the value of Foundry and AIP.
Responsibilities
· Data & Workflow Engineering: AIP & AI Enablement:Support the design and deployment of AIP use cases such as copilots, retrieval workflows, and decision-support agents.
Ground agents and logic flows using RAG (retrieval‐augmented generation) by connecting to relevant data sources, embedding/vector search, ontology content.
Use Ontology-Augmented Generation (OAG) when needed: operational decision making where logic, data, actions and relationships are embedded in the Ontology.
User Engagement: Provide training and support for business teams adopting Foundry and AIP.
· Governance & Trust: Ensure solutions meet standards for data quality, governance, and responsible use of AI.
· Continuous Improvement: Identify opportunities to expand AIP adoption and improve workflow automation.
SkillsMust haveMinimum 10 Years of experience in IT/Data.
Minimum 5 years of experience as a Data Platform Engineer/Data Engineer.
· 2+ years of professional experience with the Palantir Foundry ecosystem (data integration, ontology, pipelines, applications).1+ years of hands-on experience with Palantir's AIP (Artificial Intelligence Platform), including:Supporting the design and deployment of AIP use cases such as copilots, retrieval workflows, and decision-support agents.
Grounding agents and logic flows using RAG (retrieval-augmented generation) — connecting to relevant data sources, embedding/vector search, and ontology content.
Applying Ontology-Augmented Generation (OAG) for operational decision-making, where logic, data, actions and relationships are embedded in the Ontology.
Strong technical skills in Python, PySpark, SQL, and data modelling.
· Practical experience using or supporting AIP features such as RAG workflows, copilots, or agent-based applications.
· Ability to work independently and engage directly with non-technical business users.
· Nice to have
· Familiarity with AIP Agent Studio concepts (agents, instructions, tools, testing).
· Exposure to AIP Evals and evaluation/test-driven approaches.
· Experience with integration patterns (APIs, MCP, cloud services).
· Consulting or applied AI/ML background.
· Experience in Abu Dhabi or the broader MENA region.
Responsibilities
· Data & Workflow Engineering: AIP & AI Enablement:Support the design and deployment of AIP use cases such as copilots, retrieval workflows, and decision-support agents.
Ground agents and logic flows using RAG (retrieval‐augmented generation) by connecting to relevant data sources, embedding/vector search, ontology content.
Use Ontology-Augmented Generation (OAG) when needed: operational decision making where logic, data, actions and relationships are embedded in the Ontology.
User Engagement: Provide training and support for business teams adopting Foundry and AIP.
· Governance & Trust: Ensure solutions meet standards for data quality, governance, and responsible use of AI.
· Continuous Improvement: Identify opportunities to expand AIP adoption and improve workflow automation.
SkillsMust haveMinimum 10 Years of experience in IT/Data.
Minimum 5 years of experience as a Data Platform Engineer/Data Engineer.
· 2+ years of professional experience with the Palantir Foundry ecosystem (data integration, ontology, pipelines, applications).1+ years of hands-on experience with Palantir's AIP (Artificial Intelligence Platform), including:Supporting the design and deployment of AIP use cases such as copilots, retrieval workflows, and decision-support agents.
Grounding agents and logic flows using RAG (retrieval-augmented generation) — connecting to relevant data sources, embedding/vector search, and ontology content.
Applying Ontology-Augmented Generation (OAG) for operational decision-making, where logic, data, actions and relationships are embedded in the Ontology.
Strong technical skills in Python, PySpark, SQL, and data modelling.
· Practical experience using or supporting AIP features such as RAG workflows, copilots, or agent-based applications.
· Ability to work independently and engage directly with non-technical business users.
· Nice to have
· Familiarity with AIP Agent Studio concepts (agents, instructions, tools, testing).
· Exposure to AIP Evals and evaluation/test-driven approaches.
· Experience with integration patterns (APIs, MCP, cloud services).
· Consulting or applied AI/ML background.
· Experience in Abu Dhabi or the broader MENA region.
