Principal AI Software Engineer

As a Technical Leader developing AI applications in the GTM/CX domain, you will define the architectural blueprint for scalable AI/ML and agentic systems that transform our sales and customer experience motion. The Sr. Principal/Principal person will have demonstrated experience in understanding Sales Domain, Partner or Channel Sales, GTM, and services business processes and operations workflows., Establish standards for safety, guardrails, reliability, observability and performance across all AI/ML/Agentic components. Lead design and implementation of ML/LLM/GenAI-powered agents capable of planning, multi-step execution, self-correction, and collaboration with humans or other agents.

Drive end-to-end solution development from prototype to production, ensuring scalability, reliability, safety, observability, and performance.

Build, fine-tune, or adapt LLMs, multimodal models, and specialized agent models.

Build, evaluate, and integrate traditional AI/ML/Statistical models into agentic workflows.

Develop advanced reasoning pipelines, retrieval systems, and knowledge graphs integrations that support autonomous task execution.

Ensure production readiness through robust testing, evaluation frameworks, and real-world performance validation.

Partner with data engineering to design high-quality datasets and synthetic data pipelines and feedback loops for continual learning.

Mentor and guide data scientists and engineers, elevate data science and engineering practices across the organization.

Communicate complex technical decisions and trade-offs to executives and cross-functional stakeholders.

Do you have experience in Unsupervised learning?, Do you have a Master's degree?, Masters/PhD in Computer Science, AI, Data Science or related field.

15+ years in data science, software engineering, data engineering, ML or Applied AI experience, including architecting large-scale distributed systems and working on Salesforce.

Proven experience designing and deploying production ML, LLM-powered applications, including agentic systems.

Deep expertise in developing conversational agents and advanced intelligent

multi-agent automation systems

Demonstrated experience with orchestration frameworks like LangChain, LangGraph etc.

Up-to-date with LLM evolution like GPT, Anthropic, Llama models etc.

Demonstrated ability to lead high-ambiguity cross-team technical initiatives.

Hands-on experience in building supervised, unsupervised, and semi-supervised

models/solutions.

Strong proficiency in SQL to analyse structured relational databases.

Strong proficiency in at least one core language (Python, Go, Java, or equivalent).

Strong knowledge of distributed systems, microservice architecture, and cloud

platforms (AWS/Azure/GCP).

Preferred:

Excellent communication skills and the ability to influence at all levels

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

$167,000.00 - $270,500.00/yr

Our Commitment

We're trailblazers that dream big, take risks, and challenge cybersecurity's status quo. It's simple: we can't accomplish our mission without diverse teams innovating, together.