Data Scientist Agentic AI, RAG architectures (3-6 Yr)
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Monthly Salary:
Posted on:
8 hours ago
Vacancies:
1 Vacancy
Job Summary
Required Travel :Minimal
Location: :reqLocation
Who are we
Amdocs helps the worlds leading communications and media companies deliver exceptional customer experiences through reliable efficient and secure operations at scale. We provide software products and services that embed intelligence into how work runs across business IT and network domains delivering measurable outcomes in customer experience network performance cloud modernization and revenue growth. With our talented people and more than forty years of experience running mission-critical systems around the globe Amdocs runs billions of transactions daily. Our technology is relied on every day connecting people worldwide and advancing a more inclusive connected world. Together we help those who shape the future to make it amazing. Amdocs is listed on the NASDAQ Global Select Market (NASDAQ: DOX) and reported revenue of $4.53 billion in fiscal 2025. For more information visit
At Amdocs our mission is to empower our employees to Live Amazing Do Amazing every day. We believe in creating a workplace where you not only excel professionally but also thrive personally. Through our culture of making a real impact fostering growth embracing flexibility and building connections we enable them to live meaningful lives while making a difference in the world.
In one sentence
What will your job look like
- Design develop and deploy Agentic AI solutions using GPT- Claude- or equivalent LLM-class models.
- Architect and implement Retrieval-Augmented Generation (RAG) systems for enterprise knowledge use cases.
- Build and manage LLM-driven pipelines including prompt workflows tool calling and multi-agent coordination.
- Develop and operate MCP (Model Context Protocol) servers or equivalent components to support scalable agent interactions.
- Apply prompt engineering techniques to optimize accuracy reliability and performance of LLM outputs.
- Implement LLMOps practices including model versioning monitoring evaluation and lifecycle management.
- Collaborate with engineering platform security and architecture teams to ensure enterprise compliance scalability and governance.
- Contribute to the design of enterprise GenAI architectures aligning AI capabilities with business and technology strategy.
All you need is...
- 36 years of professional experience in data science applied AI or machine learning roles.
- Strong hands-on experience with Large Language Models (e.g. GPT Claude or similar).
- Proven experience designing and implementing Agentic AI systems.
- Hands-on expertise with RAG architectures vector databases and retrieval pipelines.
- Experience building or integrating MCP servers or similar agent/runtime orchestration layers.
- Strong skills in prompt engineering and LLM workflow design.
- Practical experience with LLMOps including deployment monitoring and evaluation in production environments.
- Solid understanding of enterprise GenAI architecture including security compliance and scalability considerations.
Nice to Have
- Experience with cloud-based AI platforms (AWS Azure or GCP).
- Exposure to knowledge graphs semantic search or hybrid retrieval systems.
- Experience working in large-scale enterprise or telecom environments.
- Familiarity with AI governance responsible AI or compliance frameworks.
Why you will love this job:
Required Experience:
Unclear Seniority
About Company
Amdocs is a leading software and services provider to communications and media companies of all sizes, accelerating the industry’s dynamic and continuous digital transformation. With a rich set of innovative solutions, long-term business relationships with 350 communications and medi ... View more
