Agentic AI Solutions Engineer for (Offshore/Onsite)

VAM Systems
Dubai
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 6-8 yearsEducation: bachelorsSkills: ["Analytical","Problem-solving","Communication","Leadership","Cross-functional collaboration","Detail-oriented","Technical stakeholder communication"]

Design, develop, and deploy agentic AI solutions for UAE operations, turning ML and AI capabilities into production systems. You’ll build AI architectures with strong governance and quality standards, integrate agent workflows with enterprise platforms via APIs, and leverage Azure cloud tooling (including Azure AI Foundry). The role requires hands-on work across ML/deep learning, data engineering/ETL, containerization, and secure, privacy-aware solution delivery in regulated industries.

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FursaFursa
VAM Systems
VAM Systems
10 hours ago

Agentic AI Solutions Engineer for (Offshore/Onsite)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Design, develop, and deploy agentic AI solutions for UAE operations, turning ML and AI capabilities into production systems. You’ll build AI architectures with strong governance and quality standards, integrate agent workflows with enterprise platforms via APIs, and leverage Azure cloud tooling (including Azure AI Foundry). The role requires hands-on work across ML/deep learning, data engineering/ETL, containerization, and secure, privacy-aware solution delivery in regulated industries.
Location: Dubai
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and deploy agentic AI solutions including autonomous AI agents, multi-agent systems, and agent-based workflow automation.
  • •Drive AI solution architecture governance, code quality, and technical standards while integrating systems end-to-end.
  • •Build data and integration layers by working with data processing, data lakehouses (Fabric), and ETL/data pipeline tools.
  • •Integrate AI solutions with enterprise platforms and legacy systems via RESTful APIs or middleware (e.g., Salesforce CRM, datalakes, CMS).
  • •Deliver secure, privacy-aware AI systems with understanding of data architecture and security considerations.

Key Requirements

  • •6 to 8 years of experience designing and deploying AI solutions with strong solution architecture skills.
  • •Hands-on experience with AI tools/platforms and cloud services such as Microsoft Azure.
  • •Strong background in machine learning algorithms, deep learning, data processing, and systems integration with governance and technical standards ownership.
  • •Experience delivering AI and digital transformation solutions in financial services/banking/fintech or other highly regulated environments with compliance and risk understanding.
  • •Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or related fields.
Experience:6-8 years
Education:Bachelor's
Skills:AnalyticalProblem-solvingCommunicationLeadershipCross-functional collaborationDetail-orientedTechnical stakeholder communication
Languages:English
Tech Stack:PythonJavaC++Microsoft AzureDockerKubernetesDevOpsHugging FaceLangChainOpenAI APIsAzure AI FoundryAgentforceSalesforce CRMRESTful APIsMiddlewareData pipeline toolsFabricETL pipelinesData lakehousesAI orchestration frameworks

Company Brief

VAM Systems
Provides product engineering and software development services across embedded systems, IoT, cloud, AI, and digital transformation for enterprises in automotive, healthcare, industrial, and consumer electronics sectors.
Industry: Professional Services
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