Software Engineering Team Lead - GenAI & Agentic Systems

Required Travel :Up to 25%

Managerial - No

Location: :Israel- RAANANA (Amdocs Site)

Who are we?

Amdocs helps those who build the future to make it amazing. Within the CTO organization, our data-driven GenAI unit is responsible for designing, building, and scaling production-grade GenAI and agentic systems that power next-generation operational intelligence, automation, and AI-driven decision-making across enterprise products.

We operate at the intersection of software engineering, data platforms, and applied GenAI, delivering real-world systems at scale.

In one sentence

Lead a senior engineering team building mission-critical, full‑stack, data‑driven GenAI and agentic systems, combining deep technical ownership, strong people leadership, and the ability to execute under pressure in a fast-changing environment.

What will your job look like?

• Lead and grow a high-performing, collaborative engineering team focused on GenAI and agentic solutions.
• Own end-to-end delivery of production-grade software systems, from architecture and design through implementation, deployment, and operations.
• Drive development of GenAI-based solutions, including:

• Retrieval-Augmented Generation (RAG)
• Vector Databases
• Multi-agent architectures and orchestration frameworks
• LLM integrations and prompt engineering lifecycle
• Serve as a technical authority across the stack (backend, frontend, data, cloud), setting engineering standards and best practices.
• Translate ambiguous business and research problems into scalable, reliable software architectures.
• Operate effectively under time pressure and changing priorities, balancing delivery, quality, and innovation.
• Collaborate closely with data scientists, architects, product managers, and platform teams across the CTO organization.
• Ensure engineering excellence through code reviews, design reviews, observability, performance, and reliability practices.
• Mentor engineers, grow future leaders, and actively invest in team skills and culture.
• Continuously improve engineering processes, tooling, and development velocity.
  
  
All you need is...

Leadership & Mindset


• Proven people leadership with strong ownership and accountability.
• Highly adaptive, with a steep learning curve in fast-evolving technical domains.
• Comfortable working in high-pressure, high-impact environments.
• Strong collaborator who builds trust, alignment, and engagement across teams.
  
  
Technical Capabilities (Must‑Have)


• 10+ years of hands-on software engineering experience.
• Full‑stack expertise (backend-first, frontend understanding required).
• Strong system design and architecture skills for large-scale, distributed systems.
• Practical experience with cloud-native architectures (AWS/Azure/K8s – at least one at production scale).
• Solid foundations in data-driven systems, APIs, and platform thinking.
  
  
GenAI & Data (Strong Advantage)

• Hands-on experience with GenAI systems, including:
• RAG pipelines
• Vector databases (e.g., FAISS, Pinecone, Milvus, Weaviate or equivalents)
• LLM-based agents and orchestration frameworks
• Understanding of model limitations, evaluation, latency, cost, and safety constraints in production environments.
• Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience.
• Advanced degrees are a plus.
  

• Lead one of the most strategic GenAI engineering teams in the CTO organization.
• Build real, production AI systems—not demos or prototypes.
• Influence architecture and technical direction at enterprise scale.
• Work with top engineers, data scientists, and AI leaders.
• Operate at the cutting edge of agentic AI applied to real business systems.