Senior AI Platform Engineer

PTR Global; Charlotte (NC); On-site; USD 90,000 - 103,000; Part time

Job summary

PTR Global in the United States is seeking a senior consultant for a six-month engagement to advise on large-scale software engineering initiatives. You will review complex challenges, provide strategic guidance, and collaborate with client teams to shape architectural decisions with governance and compliance in mind.

The role requires 5+ years in software engineering and 7+ years in related fields, with hands-on experience deploying data science, AI, and cloud-native solutions.

Qualifications

• 5+ years of Software Engineering experience or equivalent.
• 7+ years of relevant experience in software engineering, data engineering, cloud engineering, or AI/ML engineering.
• Experience deploying and operationalizing Data Science, Machine Learning, Generative AI, or Predictive AI solutions.
• Experience building enterprise applications and APIs.
• Proficiency in cloud-based environments and containerized deployment platforms like OpenShift or Kubernetes.
• Strong understanding of software engineering best practices, CI/CD, monitoring, and production support.

Responsibilities

• Consult on complex software engineering initiatives with significant impact.
• Analyze and resolve multi-faceted software engineering challenges.
• Collaborate with client personnel to deliver scalable solutions.
• Integrate Data Science and Generative AI solutions into enterprise applications.
• Deploy AI solutions into production environments using modern cloud and container platforms.
• Ensure compliance with policies, procedures, and governance requirements.

Skills

Python

Git

FastAPI

REST APIs

JSON

Pydantic

C#/.NET

Azure OpenAI

OpenAI APIs

LangChain

LangGraph

Generative AI

Predictive AI

Model deployment

Embeddings

Vector search

RAG patterns

Power BI

Microsoft Fabric

OneLake

Azure Data Factory

Airflow

Application Insights

Kubernetes

OpenShift

Tools

OpenShift

Kubernetes

Job description

Pay Range: $65/hr.-$75/hr. on W2 basis only

Duration: 6 months with possible extension

Job Overview

In this contingent resource assignment, you will consult on complex initiatives with broad impact and large-scale planning for Software Engineering. You will review and analyze multi-faceted, larger-scale, or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented factors. Additionally, you will contribute to the resolution of complex situations requiring a solid understanding of functional policies, procedures, and compliance requirements to meet deliverables. This role involves strategic collaboration and consultation with client personnel.

Responsibilities

• Consult on complex software engineering initiatives with significant impact.
• Analyze and resolve multi-faceted software engineering challenges.
• Collaborate with client personnel to deliver scalable solutions.
• Integrate Data Science and Generative AI solutions into enterprise applications.
• Deploy AI solutions into production environments using modern cloud and container platforms.
• Ensure compliance with policies, procedures, and governance requirements.

Qualifications

• 5+ years of Software Engineering experience or equivalent through work, consulting, training, military experience, or education.
• 7+ years of relevant experience in software engineering, data engineering, cloud engineering, or AI/ML engineering.
• Experience deploying and operationalizing Data Science, Machine Learning, Generative AI, or Predictive AI solutions.
• Experience building enterprise applications and APIs.
• Proficiency in cloud-based environments and containerized deployment platforms like OpenShift or Kubernetes.
• Strong understanding of software engineering best practices, CI/CD, monitoring, and production support.

Core Technical Skills

• Programming & Application Development: Python, Git, FastAPI, REST APIs, JSON, Pydantic, C#/.NET application integration.
• AI & Data Science Enablement: Azure OpenAI, OpenAI APIs, LangChain/LangGraph, Generative AI solutions, Predictive AI/ML solutions, model deployment, embeddings, vector search, RAG patterns.
• Data Platforms: Microsoft Fabric, OneLake, Data Warehouse/Lakehouse concepts.
• Pipeline Orchestration: Azure Data Factory, Airflow, or equivalent platforms.
• Monitoring & Operations: Logging, monitoring, alerting, Application Insights, production support.
• Security & Governance: Key Vault, OAuth, secrets management, PII/data governance.
• Analytics & Reporting: Power BI.

Preferred Qualifications

• Experience supporting HR, HRIT, Workforce Analytics, or HR Data Science initiatives.
• Experience integrating Python-based Data Science solutions into enterprise applications.
• Experience supporting AI solutions in highly regulated environments.
• Nice to Have: C#/.NET development, Flask, Django, React, Gradio, Databricks, Neo4j/Graph Databases, Semantic Kernel, MLflow, Kubernetes, Snowflake, Elasticsearch, Azure AI Search.

About - PTR Global

PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit www.ptrglobal.com

At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to:

• Pay any fee to be considered for, submitted to, or selected for any opportunity.
• Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process.
• Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup.

The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.