Career Opportunities: Software Engineering Team Lead - GenAI & Agentic Systems (210963)
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.
Why you will love this job:
- 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.
-
- The job has been sent to
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.
Why you will love this job:
- 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.