- Workplace
- Remote
- Department
- IT
- Seniority
- Lead
- Education
- Master
- Source
- Freshteam
Description
About Altivate
Altivate is a digital transformation enabler on a mission to help businesses find smarter and more innovative ways of doing business. With headquarters located in Saudi Arabia along with three regional offices in Egypt, India, and Jordan, we combine different knowledge and technologies to offer our clients tailored solutions and services to address their unique needs.
Altivate provides end-to-end services and solutions based on industry best practices. Our technology competencies are vast and unique; they include SAP, AWS, Microsoft Azure, Microsoft PowerBI, Google Cloud Platform, Teradata, Tableau, MicroStrategy, and more.
We work with our clients on unraveling new business opportunities presented by new technologies. We help our clients become more resilient, sustainable, and profitable, efficiently improving their performance and bottom line.
Altivate is proud to be a SAP Gold Partner, SAP Certified Partner Center of Expertise, AWS Select Partner, Azure Partner, and GCP Partner. We're also a proud recent holder of SAP MEA North's Delivery Excellence award for 2022.
Role Overview
Own the end-to-end design, build, and production rollout of agentic AI solutions that automate knowledge work—starting with SAP-consultant tasks, proposal generation, and data preparation. You’ll deliver measurable savings within 12 months, then scale a small specialist team around the winning agents.
Responsibilities:
- Design and build agents using Python along with the best mix of open-source libraries or frameworks (e.g., CrewAI, AutoGen, LangChain, llama-index), or entirely custom code where needed. Incorporate browser automation (Playwright/Selenium) and computer vision/OCR (OpenCV, Tesseract).
- Handle data and integrations: connect REST/GraphQL APIs, vector stores, and RAG pipelines with security guardrails.
- Measure and optimize: define and track KPIs such as cost savings, turnaround time, and consultant utilization; iterate to hit targets.
- MLOps/DevOps: containerize, deploy, and monitor agents using Docker, Kubernetes, and CI/CD pipelines; schedule retraining.
- Lead and manage a team: hire, mentor, and manage 2–4 engineers (prompt-ops, CV, full-stack) once MVP agents meet KPIs.
Minimum Qualifications
6+ years in AI/ML, automation, or conversational AI engineering.
2+ years building multi-step or multi-agent LLM solutions.
Expert-level Python skills and deep understanding of open-source AI tooling.
Proven experience delivering computer vision/OCR solutions interpreting GUIs or documents.
Browser automation experience using Playwright, Selenium, or equivalent.
Demonstrated success in defining and achieving business-outcome KPIs.
Experience leading small technical teams in agile environments.
Nice to Have
Familiarity with SAP APIs or SAP BTP (not required but a bonus).
Experience with at least one cloud AI stack (AWS Bedrock, Azure OpenAI, Google Vertex/Gemini).
Benefits
Flexible working hours.
This is a fully remote role – you can work from anywhere in the world.
This position reports directly to the CEO.