Who are we?

Amdocs helps those who build the future to make it amazing. With our market-leading portfolio of software products and services, we unlock our customers’ innovative potential, empowering them to provide next-generation communication and media experiences for both the individual end user and enterprise customers. Our employees around the globe are here to accelerate service providers’ migration to the cloud, enable them to differentiate in the 5G era, and digitalize and automate their operations. Listed on the NASDAQ Global Select Market, Amdocs had revenue of $5.00 billion in fiscal 2024. For more information, visit www.amdocs.com

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

We are seeking a senior AI / Generative AI expert with 6+ years of overall software engineering experience and 3+ years of hands-on experience in AI and Generative AI to design, build, and deliver end-to-end Agentic AI solutions, from experimentation to production-grade, multi-cloud deployments

What will your job look like?

Design and develop end-to-end AI and GenAI solutions, including Agentic AI workflows (planning, reasoning, tool usage, memory, and orchestration).
• Build POCs and production-ready solutions using LLMs, multimodal models, and agent frameworks.
• Evaluate, select, fine-tune, and optimize foundation models (open-source and commercial) based on use cases.
• Design and implement AI pipelines covering data ingestion, embeddings, RAG, agents, evaluation, and monitoring.
• Train, fine-tune, and adapt models using techniques such as prompt engineering, LoRA/PEFT, and fine-tuning.
• Integrate AI solutions with enterprise systems, APIs, tools, and backend platforms.
• Deploy and operate AI workloads across AWS, Azure, and GCP, leveraging native AI services where appropriate.
• Ensure scalability, reliability, security, and responsible AI practices in production environments.
• Collaborate with product, engineering, and platform teams to translate ideas into working AI systems.

All you need is...

AI / GenAI expertise
• 3+ years of hands-on experience in AI / ML, with strong focus on Generative AI and LLM-based systems.
• Deep understanding of LLMs, embeddings, transformers, agentic patterns, and inference optimization.
• Strong experience building Agentic AI systems (multi-step reasoning, tool calling, memory, orchestration).
• Hands-on experience with model training, fine-tuning, and evaluation.
Core experience & SDLC
• 6+ years of overall software engineering experience, with strong exposure to SDLC, system design, and architecture.
• Experience designing and delivering production-grade software systems, not just prototypes.
• Strong understanding of software design principles, system integration, and scalable architectures.
Technical & platform skills
• Proficiency in Python and experience with AI/ML frameworks and libraries.
• Experience designing and deploying AI solutions on AWS, Azure, and/or GCP.
• Strong understanding of API integration, backend systems, and cloud-native architectures.
• Ability to independently drive POCs to production-grade solutions.
• Strong problem-solving, communication, and technical leadership skills.

Preferred qualifications
• Experience with RAG architectures, vector databases, and retrieval strategies.
• Familiarity with LLMOps / MLOps, monitoring, and cost–performance optimization.
• Exposure to open-source models and self-hosted inference stacks.
• Experience building AI solutions for enterprise or platform-scale systems.

Nice to have
• Working knowledge of Java and/or C#, especially in enterprise environments.
• Exposure to legacy technologies (e.g., COBOL, JCL, batch systems) or legacy modernization initiatives.
• Experience with multi-modal AI (text, vision, speech).
• Understanding of responsible AI, governance, and security considerations.
• Contributions to open-source, AI research, or internal AI platforms.

Why you will love this job:

• The chance to serve as a specialist in software and technology.
• You will take an active role in technical mentoring within the team.
• We provide stellar benefits from health to dental to paid time off and parental leave!