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

14 days+
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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
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