Description

In this role, you will:

• Manage and develop a team of engineers delivering GenAI and full-stack solutions
• Lead execution of complex technology initiatives including enterprise-wide AI programs
• Oversee the design and delivery of Agentic AI systems and automation workflows
• Drive development of end-to-end full-stack solutions including UI, APIs, and cloud platforms
• Partner with architects to ensure solutions follow enterprise standards and best practices
• Collaborate with product, business, and data science teams to translate requirements into solutions
• Ensure delivery of high-quality solutions through CI/CD, testing, and observability
• Manage resource allocation, project planning, and delivery timelines
• Mentor and coach engineers including hiring and performance management
• Ensure solutions comply with security, risk, and regulatory requirements

Required Qualifications:

• 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 2+ years of Leadership experience
• 2+ years of experience in full-stack development (Java, Node.js, Python)
• 1+ year of experience delivering cloud-native applications (GCP, AWS, or Azure)
• 1+ year of experience leading complex technology initiatives
• 1 + year of experience managing engineering teams

​

Desired Qualifications:

• Experience with GenAI, LLMs, or conversational AI solutions
• Experience with Agentic AI frameworks and multi-agent architectures
• Exposure to RAG, prompt engineering, or AI evaluation frameworks
• Experience in contact center technologies or enterprise automation platforms
• Strong understanding of distributed systems and API integrations
• Ability to influence stakeholders and drive cross-functional alignment

Key Skills

Education

Any Graduate