AI Engineer Job Phoenix area,Arizona USA,Software Development

Customer
- Brillio Albertson Role: AI Engineer Migration Automation

Experience:

8 Years+ Payrate: 65/hr

Remote

Greetings!

Hope you are doing well,

Please find below the details & let me know if you are Interested in this position

Employment Type

Contract C2C / W2 / 1099

Skills

Python
Generative AI
LLMs
RAG
Prompt Engineering
AI Agents/Bots
Model Fine-Tuning
Machine Learning
NLP
REST APIs
Azure OpenAI
Azure AI Services
Git
CI/CD

Key Responsibilities

Design and develop AI-powered bots/agents to automate activities across the Data Stage to Microsoft Fabric migration lifecycle, including assessment, code analysis, conversion, validation, and documentation.

Develop and fine-tune LLM/GenAI models for understanding Data Stage jobs, transformation logic, mappings, dependencies, and converting legacy ETL patterns to Fabric-compatible code.

Build AI agents using Python, LLMs, RAG, prompt engineering, and agentic frameworks to support migration factory automation.

Develop reusable AI solutions for Data Stage code analysis, complexity assessment, code conversion, test-case generation, data validation, and defect/root-cause analysis
.

Integrate AI bots with enterprise tools, APIs, repositories, and migration platforms to enable automated workflows.

Design evaluation frameworks to measure accuracy, quality, hallucination, conversion success rate, and model performance and continuously improve AI solutions.

Build and maintain RAG solutions using enterprise migration documentation, code repositories, metadata, mappings, and technical knowledge bases.

Collaborate with Data Engineers, Architects, QA Engineers, and Project Managers to identify and implement AI-driven automation opportunities.

Implement secure, scalable, and production-ready AI solutions following enterprise Azure, security, governance, and CI/CD standards.

Lead technical design, code reviews, POCs, and deployment of AI solutions and mentor junior AI engineers.

Required Experience

6 8 years of experience in AI/ML, Generative AI, NLP, or AI engineering.

Strong hands-on experience developing AI bots/agents, LLM applications, RAG solutions, and prompt engineering
.

Experience with LLM fine-tuning/model customization and evaluating model performance.

Strong Python development skills and experience integrating AI/LLM solutions through APIs.

Experience with Azure OpenAI/Azure AI Services or equivalent enterprise GenAI platforms.

Experience building AI solutions for code generation, code conversion, automation, or data engineering is highly desirable.

Strong understanding of SDLC, Git, CI/CD, API integration, and production deployment.

Good to Have

Prior experience with IBM Data Stage, ETL, SQL, or Microsoft Fabric
.
Experience building AI solutions for legacy modernization, migration factories, or ETL/code conversion
.
Experience with Lang Chain, Semantic Kernel, Auto Gen, or similar agentic AI frameworks.
Experience with Github copilot and SLMs