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F5

AI Deployment Engineer

F5

AI Deployment Engineer designing and deploying operational AI automation solutions for F5's business. Collaborating with cross-functional teams to enhance workflows and drive AI adoption.

Posted 5/17/2026full-timeHyderabad • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
DockerJavaScriptKubernetesPythonTypeScript

About the role

Key responsibilities & impact
  • Develop and deploy AI agents, apps, and automation solutions that improve operational workflows.
  • Design, test, and refine prompts and agent behaviors to ensure reliable and high-quality outputs from generative AI systems.
  • Work closely with the AI Data Engineer to translate identified use cases into practical AI-enabled solutions.
  • Collaborate with Digital (IT) to ensure solutions align with enterprise governance, security, and architecture standards.
  • Build and deploy solutions using agentic AI models such as Microsoft Copilot, Google Gemini, and other enterprise AI platforms.
  • Operationalize AI-powered automation solutions across business functions including Services, Customer Success, Sales, and Operations.
  • Measure solution performance, troubleshoot issues, and continuously improve agent interactions and automation workflows.
  • Support rapid pilot development and execution sprints to validate use cases and demonstrate value.
  • Document best practices and help scale successful AI solutions across teams.
  • Partner with business stakeholders to iterate on solutions and drive adoption through enablement and feedback loops.
  • Assist with Security and privacy reviews as needed.

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or related technical field (or equivalent experience).
  • 5+ years of engineering experience: AI engineering, prompt engineering, automation engineering, or AI solution development.
  • Hands-on experience working with AI platforms such as OpenAI, Anthropic, Microsoft Copilot, Google Gemini, or similar enterprise AI environments.
  • Experience building AI Agents(teams/slack), AI-assisted applications (Kubernetes deployment) or similar workflow solutions.
  • Familiarity with automation platforms, deployment environments and workflow tools (Python, typescript/javascript, docker, Kubernetes, etc.).
  • Strong understanding of prompt engineering, AI interaction design, and responsible AI practices.
  • Ability to translate business requirements into AI-enabled automation solutions.
  • Strong problem-solving skills with a practical, user-centric approach to AI deployment.
  • Excellent communication and partnership skills with the ability to operate in cross-functional environments.
  • Knowledge of AI ethics and responsible AI prompt design principles.

Benefits

Comp & perks
  • Health insurance
  • Flexible working arrangements
  • Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
AI engineeringprompt engineeringautomation engineeringAI solution developmentAI interaction designPythonTypeScriptJavaScriptDockerKubernetes
Soft Skills
problem-solvingcommunicationpartnershipuser-centric approachcollaborationfeedback loopsiterationdocumentationscaling solutionsadoption