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Tech Stack
Tools & technologiesAzurePythonRPAServiceNow
About the role
Key responsibilities & impact- Responsible for hands-on engineering delivery of enterprise AI/ML/GenAI and automation solutions.
- Own end-to-end technical delivery of AI and GenAI solutions—from design through production and BAU support.
- Collaborate with solution architecture on design and own build production-grade GenAI systems.
- Lead and grow a team of senior engineers within the AI & Automation build function.
- Act as the technical authority for the build team, accountable for code quality and engineering standards.
Requirements
What you’ll need- A degree in Computer Science / Engineering or a related discipline; or equivalent work experience.
- 10+ years in a Global IT environment working with multiple disciplines to deliver projects in line with customer needs.
- 3+ Years Global delivery or transformation preferably in large scale infrastructure programs.
- 3+ Years in a global operations environment.
- Relevant certifications in MS Power Platform and ServiceNow, RPA, Python, Azure AI Services, Azure Data Services.
Benefits
Comp & perks- Flexible working hours
- Professional development opportunities
- Support hiring and skills development aligned to future AI engineering needs.
- Create and maintain comprehensive documentation for automation solutions.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AIMLGenAIautomation solutionscode qualityengineering standardsinfrastructure programsRPAPythonAzure AI Services
Soft Skills
collaborationleadershipaccountability