GenAI Lead/ Engineer - SME level (Onsite) Phoenix, AZ (Local candidates only)

Stellent IT LLC; Phoenix (AZ); On-site; USD 150,000 - 210,000; Full time

Job summary

Stellent IT LLC in Phoenix, AZ is seeking a GenAI Lead/Engineer at SME level to drive AI-enabled application development onsite. The role combines hands-on coding with technical leadership to translate business needs into scalable AI solutions.

You will collaborate with product, data and business teams, guide cross-functional teams, and promote best practices in AI pipelines, deployment, and governance. Local candidates preferred; onsite interviews.

Qualifications

• Hands-on experience with AI/ML frameworks and generative AI tools.
• Expertise in application architecture and system design.
• Experience with cloud platforms and distributed systems.
• Knowledge of AI pipelines, model deployment, and monitoring.
• Experience leading cross-functional teams in enterprise projects.

Responsibilities

• Collaborate with product, data, and business teams to translate requirements into AI-enabled solutions.
• Drive adoption of AI-enabled development tools and frameworks.
• Provide training to the team for using AI capabilities.

Skills

Leadership experience in guiding cross

Problem solving

Communication and stakeholder mgmt

Tools

TensorFlow

PyTorch

Scikit-learn

OpenAI

Azure OpenAI

Azure

AWS

GCP

REST APIs

Microservices

Job description

GenAI Lead/ Engineer - SME level (Onsite)

Location: Phoenix, AZ (Local candidates only)

Interview mode: Virtual

Job Description:

Candidates should have a well maintained old linkedin

Candidate should have a development background

Need Application side Gen AI Engineer who is using AI for developing applications with some programming background.

Role Overview

Technical Leadership

• Collaborate with product, data, and business teams to translate requirements into solutions
• Drive adoption of AI-enabled development tools and frameworks
• Provide training to the team for using AI Capabilities

Required Skills & Qualifications

Technical Skills

• Hands-on experience with:
  • AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Generative AI / LLMs (OpenAI, Azure OpenAI, etc.)
• Expertise in application architecture and system design
• Experience in:
  • Cloud platforms (Azure/AWS/GCP)
  • REST APIs, microservices, and distributed systems
• Knowledge of data engineering, APIs, and system integration

AI-Specific Skills

• Understanding of AI pipelines, model deployment, and monitoring
• Ability to evaluate and apply AI tools in application development lifecycle

Soft Skills

• Strong problem-solving and analytical thinking
• Excellent communication and stakeholder management
• Leadership experience in guiding cross-functional teams

Preferred Qualifications

• Experience implementing AI in enterprise applications
• Exposure to DevOps / MLOps practices
• Knowledge of Responsible AI and governance principles
• Prior experience in a technical lead or architect role