Lead AI Engineer

2 Months ago • 4 Years + • Research Development

Job Summary

Job Description

Zeta is a Next-Gen Banking Tech company looking for a Lead AI Engineer to head a team of AI engineers. The role involves developing sophisticated agent-based AI applications where multiple agents coordinate under a central coordinator to execute complex business tasks. The lead will drive innovation and implementation of enterprise-grade AI solutions for banking institutions. Responsibilities include leading, mentoring, and managing the AI engineering team, architecting AI agent swarms, applying deep knowledge of LLMs and SLMs, and ensuring adherence to enterprise AI techniques like grounding and guardrailing for banking security.
Must have:
  • Lead and manage AI engineering team
  • Architect AI agent swarms
  • Prompt engineering and LLM optimization
  • Grounding and guardrailing for AI
  • Experience in Conversational AI flows
  • Deep understanding of LLMs/SLMs
Good to have:
  • Experience with Bot/Conversational AI platforms
  • Programming skills in scripting languages
  • Understanding of Retrieval Augmented Generation (RAG)
  • Experience creating datasets for LLM fine-tuning
  • Certification in bot development

Job Details

About Zeta

Zeta is a Next-Gen Banking Tech company that empowers banks and fintechs to launch banking products for the future. It was founded by Bhavin Turakhia and Ramki Gaddipati in 2015.
Our flagship processing platform - Zeta Tachyon - is the industry’s first modern, cloud-native, and fully API-enabled stack that brings together issuance, processing, lending, core banking, fraud & risk, and many more capabilities as a single-vendor stack. 15M+ cards have been issued on our platform globally.
Zeta is actively working with the largest Banks and Fintechs in multiple global markets transforming customer experience for multi-million card portfolios.
Zeta has over 1700+ employees - with over 70% roles in R&D - across locations in the US, EMEA, and Asia. We raised $280 million at a $1.5 billion valuation from Softbank, Mastercard, and other investors in 2021.


About the role

Synapse is Zeta’s digital banking team, building modern consumer experiences for banks and credit unions atop Zeta’s Tachyon. Synapse offers a pre-integrated, fully compliant, out-of-the-box digital experience stack for banks and credit unions.

As an AI Engineer Lead at Zeta, you will spearhead a team of AI engineers focused on developing sophisticated agent-based AI applications. These applications involve multiple AI agents working in coordination under a central coordinator agent, collectively executing complex business tasks. Your leadership will drive innovation and effective implementation of enterprise-grade AI solutions tailored specifically for banking institutions.

Responsibilities

  • Lead, mentor, and manage a team of AI Engineers in designing and developing agentic AI applications.
  • Architect, plan, and oversee the implementation of AI agent swarms that collaborate efficiently to solve complex problems.
  • Apply deep knowledge of LLMs (Large Language Models) and SLMs (Smaller Language Models) to build robust, reliable, and intelligent AI agents through effective prompting techniques.
  • Ensure adherence to essential enterprise AI techniques including grounding, guard railing, and stringent security standards required in banking environments.
  • Identify and leverage existing AI models to create efficient and scalable solutions while exploring opportunities for custom model development for specialized use cases.
  • Foster a culture of continuous learning and innovation within the team, keeping abreast of latest AI trends and technologies.


Skills Required

  • Deep understanding of Bot / Conversational AI / Contact Center orchestration platforms such as Yellow, Kore, Rasa, etc
  • Programming skills inany scripting language desirable
  • Deep expertise and experience in prompt engineering and LLM Response optimization using relevant techniques
  • Understanding of Retrieval Augmented Generation and creation of documentation for RAG
  • Experience in creating data sets for LLM fine tuning


Experience and Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • Minimum of 4 years focused on building and maintaining Conversational AI flows
  • Certification in bot development or related technologies preferred
  • Demonstrated passion and interest in developing AI-based applications.
  • Proven experience in building or contributing significantly to AI applications or solutions.
  • Extensive understanding of Large Language Models (LLMs), Smaller Language Models (SLMs), and practical experience in prompting strategies.
  • Familiarity with agentic frameworks and protocols for creating coordinated AI agent swarms.
  • Expertise in critical enterprise AI techniques such as grounding, guardrailing, and comprehensive security practices suitable for financial institutions.


Zeta is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We encourage applicants from all backgrounds, cultures, and communities to apply and believe that a diverse workforce is key to our success.

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