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Keyrus

#MakeDataMatter #HumanizingTheFuture

Forward Deployed AI Engineer

AI EngineerMachine Learning EngineerFull TimeRemoteSeniorTeam 1,001-5,000Since 1996H1B SponsorCompany SiteLinkedIn

Location

Worldwide

Posted

4 days ago

Salary

0

Seniority

Senior

Bachelor Degree5 yrs expEnglishAWSAzureCloudDockerGoogle Cloud PlatformPython

Job Description

Forward Deployed AI Engineer

Keyrus

• Co-create solutions with business and technical stakeholders through workshops, rapid iterations, and hands-on delivery. • Locate, qualify, and secure access to the data required for each use case, working directly with the Data Engineer. • Translate use cases into production-ready GenAI and agentic AI solutions, including RAG architectures, intelligent assistants, and AI-enabled workflows. • Prototype, test, deploy, monitor, and improve solutions in real client environments using feedback from users and domain experts. • Work with Data Engineers, Software Engineers, Foundations Architects, Governance experts, Business Value Advisors, and Service Delivery Managers to deliver sustainable outcomes. • Balance speed, quality, cost, security, and maintainability while making clear technical and delivery trade-offs. • Define success criteria from the outset, including adoption, performance, reliability, risk, cost, and measurable business value. • Ensure solutions are documented, governed, and transferable so clients can operate them with confidence. • Turn successful delivery into reusable patterns, accelerators, and building blocks that strengthen future engagements.

Job Requirements

  • Typically 5-10 years of relevant experience in AI Engineering, Machine Learning, Software Engineering, Data Engineering, or technical consulting.
  • Hands-on experience delivering AI, GenAI, or software solutions into production.
  • Experience working directly with clients or in complex stakeholder environments.
  • Evidence of turning complex use cases into adopted measurable solutions.
  • A degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field - or equivalent practical experience.
  • Strong Python development skills, API integration experience, and modern software-engineering practices.
  • Hands-on experience with Large Language Models, GenAI architectures, prompt workflows, and model/provider selection.
  • Experience with RAG, embeddings, vector search, AI agents, and agentic workflows.
  • Familiarity with frameworks such as LangChain, LlamaIndex, LangGraph, Semantic Kernel, AutoGen, or comparable tools.
  • Experience integrating AI into enterprise systems, APIs, and business workflows.
  • Experience with at least one major cloud platform: Azure, AWS, or GCP.
  • Working knowledge of Docker, Git, CI/CD, production deployment, monitoring, and evaluation.
  • Understanding of MLOps / LLMOps, security, data privacy, governance, and responsible AI principles.

Benefits

  • Competitive salary
  • Flexible working hours
  • Professional development budget
  • Home office setup allowance
  • Global team events

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