GenAI Engineering Lead

TechDigital Group; Phoenix (AZ); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading tech company in Phoenix, Arizona is seeking a Software Engineering Lead to oversee the architecture and design of complex systems integrating AI applications. The candidate will manage cross-functional engineering teams, ensuring the delivery of high-quality solutions. A minimum of 8 years in software engineering with leadership experience is required. Familiarity with cloud infrastructure, programming languages, and machine learning models is essential. Competitive compensation and benefits package offered.

Qualifications

• Minimum 8+ years of hands-on experience in software engineering.
• At least 3+ years in a leadership role managing teams.
• Experience with cloud infrastructure and ML model deployment.

Responsibilities

• Architect and design complex systems integrating GenAI applications.
• Lead a diverse team to deliver scalable solutions.
• Collaborate with stakeholders to align technology with business goals.

Skills

Python

JavaScript

Java

API Development

Machine Learning

Leadership

Problem-solving

GCP

Data Engineering

Education

Undergraduate degree in Computer Science or equivalent

Tools

TensorFlow

PyTorch

scikit-learn

spaCy

Job description

Role/Responsibilities

• Minimum 8+ years of hands-on experience in software engineering, with at least 3+ years in a leadership role managing cross-functional teams.
• Architect and design complex systems that integrate GenAI applications, machine learning models, and cloud infrastructure.
• Lead and manage a diverse, cross-functional team of engineers, ensuring the delivery of high-quality, scalable solutions.
• Engage in hands-on coding, technical design, and problem-solving to drive innovation and excellence.
• Make critical architectural decisions to optimize performance, scalability, and reliability of systems.
• Collaborate with stakeholders to align technological solutions with business objectives.
• Stay updated with emerging technologies and industry best practices to ensure continuous improvement.
• Proficiency in designing and developing large-scale systems, including GenAI, API architectures, data systems, and cloud-native applications.
• Strong programming skills in Python, JavaScript, Java, or other backend languages.
• Experience with API development (RESTful APIs, GraphQL).
• Extensive experience in building and deploying ML models using TensorFlow, PyTorch, scikit-learn, and spaCy.
• Strong leadership and team management skills, with excellent problem-solving abilities and effective communication skills.

Qualifications & Experience

Minimum Requirements

• Hands-on experience in GCP, Data Engineering, or DevOps is highly advantageous.
• Familiarity with industry best practices and emerging technologies in AI and machine learning.

Academic qualifications/Level of Education

• Undergraduate / Associate level degree / diploma from an accredited institution, in Computer Science / Statistics / Applied Mathematics / EE / Electronics or, any equivalent technical field of study. Applications are also invited from candidates with major in SoftwareEngineering / Information Technology / Management Information Systems.

Desired Skills/Qualifications

• Gen AI, LLM's, RAG, vector databases and conversational bots
• API Development
• Playbooks (required)
• GCP and Data Engineering (required)
• ADK (required)
• LangChain and LangGraph
• Vertex AI
• Machine Learning Models
• Contact Center industry experience