Chief Architect

4 hours ago

Raanana, Central District, Israel Amdocs Full time ₪1,100,000 - ₪1,300,000 per year

Job ID:
Required Travel :Up to 25% 
Managerial - Yes
Location: Israel- RAANANA (Amdocs Site) 

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 

About the Role

We are looking for a visionary and deeply technical  Chief Architect for Data, AI & GenAI Platforms to drive the architecture, tooling, and long-term technological direction of our enterprise data and GAI products and initiatives. This is a foundational leadership role that sits at the intersection of hands-on system design, cross-functional enablement, and long-term strategic innovation.
You will serve as the chief architect and technology strategist across all data, AI, and GenAI efforts—owning the blueprint that powers intelligent products, agent-based experiences, and scalable platforms. Your work will influence product design, platform infrastructure, governance models, and the broader technical ecosystem we operate in.
We are seeking someone with deep, hands-on experience building large-scale, production-grade data and AI systems—combined with the ability to mentor teams, influence engineering leaders, and partner with product and business leadership to deliver enterprise-scale transformation.

Key Responsibilities
  • Define and own the technology vision, architecture, and evolution roadmap for all data, ML/AI, and GenAI systems across the organization.
  • Lead the architectural design and hands-on guidance of scalable data pipelines, real-time analytics, AI agent platforms, model hosting infrastructure, and enterprise knowledge frameworks.
  • Oversee and connect multiple AI and data-related initiatives, including LLM agents, vector databases, RAG pipelines, MLOps, and enterprise data lakes—ensuring coherence, reusability, and security.
  • Establish and enforce technical standards, patterns, and tooling across teams to ensure high-quality engineering, model performance, and platform scalability.
  • Partner with product, engineering, and business leaders to align technology strategy with product goals, business outcomes, and customer needs.
  • Guide the evaluation and adoption of emerging technologies including open-source GenAI frameworks, fine-tuning platforms, orchestration tools, and scalable cloud-native architectures.
  • Mentor and support principal engineers, data scientists, platform leads, and architects—creating a culture of technical excellence, experimentation, and ownership.
  • Champion data quality, model explainability, AI governance, and responsible AI practices across the entire lifecycle.
  • Serve as a senior thought leader internally and externally—representing the company in technical forums, conferences, and customer engagements when needed.
Qualifications Required:
  • 15+ years of experience in software engineering, data architecture, or AI/ML systems—with at least 5 years in leading architect roles at a product-led technology company.
  • Proven track record designing and building large-scale data platforms, AI systems, and production ML pipelines in cloud-native environments.
  • Deep technical expertise in areas such as:
    • Data architecture and streaming
    • ML infrastructure and MLOps
    • Generative AI
    • Cloud infrastructure across all hyperscalers
    • Experience leading architectural decision-making at scale, influencing 100+ person tech orgs while remaining hands-on and pragmatic.
    • Passion for building reusable, modular platforms with developer-centric tooling and infrastructure-as-product mindset.
    • Excellent communication and storytelling skills—able to communicate technical vision to execs, engineers, and customers alike.
    • Bachelor's or Master's in Computer Science, Engineering, Data Science, or related field. PhD a plus.

Preferred:

  • Experience in enterprise SaaS, telecom, or commerce domains.
  • Deep familiarity with AI governance, model compliance, and responsible AI implementations.
  • Open-source contributions or thought leadership in the data/AI space.

 Amdocs is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to fostering a diverse and inclusive workforce