Define and lead the engineering approach for complex features to deliver significant business outcomes.
Deliver complex features and technology while enabling development efficiencies.
Provide technical thought leadership based on conducting multiple software implementations.
Accountable for end-to-end solution design and delivery.
Guide and influence teams on design and best practices for high code performance.
Conduct research, design prototyping, and evaluate new toolsets.

Requirements

Proven experience leading teams delivering conversational AI, NLP, or language-driven ML solutions.
Strong background in natural language processing, intent classification, and speech recognition.
Experience shaping and executing technical strategy across multiple domains and channels.
Familiarity with LLMs and GenAI, including their application, limitations, and governance considerations in enterprise environments.
Working knowledge of Python, ML workflows, and evaluation techniques sufficient to provide technical leadership and oversight.
Experience with Agile and DevOps operating models.
Strong analytical thinking, decision-making, and executive communication skills.

Benefits

Industry-leading benefits
Access to paid time off
Resources and support for employees
Flexible working arrangements
Opportunities for career growth and development

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

natural language processingintent classificationspeech recognitionPythonmachine learning workflowsevaluation techniquesconversational AILLMsGenAIAgile

Soft Skills

analytical thinkingdecision-makingexecutive communicationtechnical thought leadershipteam leadershipinfluencingguidancedesign best practices