Data Scientist Agentic AI, RAG Architectures (6-9 yr)
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Monthly Salary:
Posted on:
14 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
- Lead the design and delivery of Agentic AI solutions using GPT Claude or equivalent LLMclass models.
- Architect and scale RetrievalAugmented Generation (RAG) systems for complex enterprise knowledge and workflow use cases.
- Design and oversee multiagent systems including orchestration tool invocation memory management and context handling.
- Build deploy and maintain MCP (Model Context Protocol) servers or equivalent runtime components to support agentbased architectures.
- Define and apply advanced prompt engineering strategies including evaluation optimization and robustness techniques.
- Establish and operate LLMOps frameworks covering model lifecycle management monitoring observability and performance evaluation.
- Contribute to and influence enterprise GenAI architecture ensuring scalability security governance and compliance.
- Act as a technical mentor and thought partner for engineers and data scientists working on GenAI initiatives.
- Collaborate with platform security legal and architecture teams to enable responsible and compliant AI adoption.
All you need is...
- 69 years of professional experience in data science applied AI or machine learning roles.
- Deep handson experience with Large Language Models (e.g. GPT Claude or similar).
- Proven track record of designing and delivering Agentic AI systems in production environments.
- Strong expertise in RAG architectures including vector databases retrieval strategies and hybrid search approaches.
- Experience building or operating MCP servers or similar agent runtime and orchestration layers.
- Advanced skills in prompt engineering prompt evaluation and LLM behavior tuning.
- Practical experience with LLMOps including deployment monitoring governance and continuous improvement.
- Strong 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 enterprise data platforms.
- Experience working in large-scale enterprise or telecom environments.
- Familiarity with responsible AI model governance or regulatory 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
