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Job Details

Skills

Lead AI Applications Developer
frameworks
AI/LLMs

Summary

Title:Senior/Lead AI Applications Developer- Hybrid.in person interview - Locals candidates only
Location:Phoenix,AZ

Length:Long term

Restriction:w2 or c2c

Description:

***

Job Description

The Applications Developer Senior/Lead is responsible for identifying and implementing Artificial Intelligence (AI) solutions to decrease administrative workload and improve quality. Acting as a bridge between operational units and technology, this role collaborates with diverse teams to integrate approved AI tools and develop secure, custom solutions within the client closed environment. The Applications Developer Senior/Lead translates operational processes into detailed technical specifications, determining whether to leverage existing enterprise software (e.g., Gemini, NotebookLM) or build bespoke local solutions. This role focuses heavily on technical architecture and AI development by designing, prototyping, and deploying custom AI tools from scratch within the client environment. This position maintains comprehensive technical documentation of code, architecture, and system prompts.

Key Responsibilities

Translate complex operational processes and business needs into detailed technical specifications and actionable requirements for AI implementation.
Determine whether to leverage existing enterprise software or build bespoke local solutions.
Architect, prototype, and deploy custom AI tools from scratch within the client closed environment.
Utilize programming languages common in AI development (e.g., Python) and leverage approved enterprise AI platforms (e.g., Google Cloud/Vertex AI, Gemini ecosystems).
Act as a bridge between operational units and technology to recommend and guide the adoption of already-approved agency AI tools (e.g., Gemini, NotebookLM) to solve immediate operational challenges and decrease administrative workload.
Apply hands-on experience working with AI/LLMs, advanced prompt engineering, and retrieval-augmented generation (RAG) architectures to develop and refine secure, high-quality custom solutions.
Maintain comprehensive, up-to-date technical documentation of code, architecture, system prompts, and workflows to ensure security and compliance within the client closed environment.

Required Technical Knowledge

Multiple programming languages, multiple database management systems, multiple development platforms, and systems integration.
Software development processes including analysis, design, coding, system and user testing, problem resolution and planning.
Agile Development Methodology.
Microsoft Responsible AI Standard: Deep understanding of Microsoft's six core AI principles: Fairness, Reliability and Safety, Privacy and Security, Inclusiveness, Transparency, and Accountability.
Azure Cloud Architecture: Understanding how compute, storage, and networking choices influence AI solution design within Azure, including familiarity with Azure AI Foundry.
Generative AI Mechanics: Comprehension of Large Language Models (LLMs), embeddings, vector databases, and how foundation models (like GPT-4o) process and generate information.
MLOps & AI Governance: Knowledge of the end-to-end machine learning lifecycle, continuous integration/continuous deployment (CI/CD) for AI, and compliance frameworks for data privacy.

Core Competencies

Written and verbal communication.
Strong problem solving, priority setting, multi-tasking, analytical, and collaboration skills.
AI/LLMs, prompt engineering, and retrieval-augmented generation (RAG).
Utilizing approved enterprise AI platforms (e.g., Google Cloud/Vertex AI, Gemini ecosystems).

Specialized Skills

Programming & Frameworks: Proficiency in Python, SQL, and C# (.NET Framework).
Azure OpenAI Implementation.
Building Retrieval-Augmented Generation (RAG) pipelines, advanced prompt engineering, fine-tuning foundation models, and integrating AI agents.
Configuring Azure AI Content Safety, setting up guardrails, and using the Azure Machine Learning Responsible AI Dashboard to assess model fairness and error distributions.
Utilizing tools such as Microsoft GitHub Copilot to accelerate coding, generate documentation, and write unit tests while adhering to enterprise standards.

Behavioral & Soft Skills

Work Independently.
Balance, prioritize and organize multiple tasks.
Collaborate and communicate effectively with business stakeholders and other team members.
Synthesize feedback and adjust plans accordingly.
Build strong relationships inside and outside the organization.

Quality Assurance & Documentation

Develop and write technical documentation.
Execute prescribed testing using established procedures and tools.
Interpret and analyze test results.
Use or maintain testing frameworks, test libraries, databases and test environments.
Evaluate AI outputs for bias, hallucinations, and security vulnerabilities, ensuring the system aligns with the Responsible AI Standard.

Advanced Capabilities

Effectively explaining complex AI behaviors, limitations, and performance trade-offs to non-technical stakeholders.
Learn to keep pace with the rapid evolution of Microsoft and emerging industry practice.

Job Details

Skills

Lead AI Applications Developer
frameworks
AI/LLMs

Summary

Title:Senior/Lead AI Applications Developer- Hybrid.in person interview - Locals candidates only
Location:Phoenix,AZ

Length:Long term

Restriction:w2 or c2c

Description:

***

Job Description

Key Responsibilities

Translate complex operational processes and business needs into detailed technical specifications and actionable requirements for AI implementation.
Determine whether to leverage existing enterprise software or build bespoke local solutions.
Architect, prototype, and deploy custom AI tools from scratch within the client closed environment.
Utilize programming languages common in AI development (e.g., Python) and leverage approved enterprise AI platforms (e.g., Google Cloud/Vertex AI, Gemini ecosystems).
Act as a bridge between operational units and technology to recommend and guide the adoption of already-approved agency AI tools (e.g., Gemini, NotebookLM) to solve immediate operational challenges and decrease administrative workload.
Apply hands-on experience working with AI/LLMs, advanced prompt engineering, and retrieval-augmented generation (RAG) architectures to develop and refine secure, high-quality custom solutions.
Maintain comprehensive, up-to-date technical documentation of code, architecture, system prompts, and workflows to ensure security and compliance within the client closed environment.

Required Technical Knowledge

Multiple programming languages, multiple database management systems, multiple development platforms, and systems integration.
Software development processes including analysis, design, coding, system and user testing, problem resolution and planning.
Agile Development Methodology.
Microsoft Responsible AI Standard: Deep understanding of Microsoft's six core AI principles: Fairness, Reliability and Safety, Privacy and Security, Inclusiveness, Transparency, and Accountability.
Azure Cloud Architecture: Understanding how compute, storage, and networking choices influence AI solution design within Azure, including familiarity with Azure AI Foundry.
Generative AI Mechanics: Comprehension of Large Language Models (LLMs), embeddings, vector databases, and how foundation models (like GPT-4o) process and generate information.
MLOps & AI Governance: Knowledge of the end-to-end machine learning lifecycle, continuous integration/continuous deployment (CI/CD) for AI, and compliance frameworks for data privacy.

Core Competencies

Written and verbal communication.
Strong problem solving, priority setting, multi-tasking, analytical, and collaboration skills.
AI/LLMs, prompt engineering, and retrieval-augmented generation (RAG).
Utilizing approved enterprise AI platforms (e.g., Google Cloud/Vertex AI, Gemini ecosystems).

Specialized Skills

Programming & Frameworks: Proficiency in Python, SQL, and C# (.NET Framework).
Azure OpenAI Implementation.
Building Retrieval-Augmented Generation (RAG) pipelines, advanced prompt engineering, fine-tuning foundation models, and integrating AI agents.
Configuring Azure AI Content Safety, setting up guardrails, and using the Azure Machine Learning Responsible AI Dashboard to assess model fairness and error distributions.
Utilizing tools such as Microsoft GitHub Copilot to accelerate coding, generate documentation, and write unit tests while adhering to enterprise standards.

Behavioral & Soft Skills

Work Independently.
Balance, prioritize and organize multiple tasks.
Collaborate and communicate effectively with business stakeholders and other team members.
Synthesize feedback and adjust plans accordingly.
Build strong relationships inside and outside the organization.

Quality Assurance & Documentation

Develop and write technical documentation.
Execute prescribed testing using established procedures and tools.
Interpret and analyze test results.
Use or maintain testing frameworks, test libraries, databases and test environments.
Evaluate AI outputs for bias, hallucinations, and security vulnerabilities, ensuring the system aligns with the Responsible AI Standard.

Advanced Capabilities

Effectively explaining complex AI behaviors, limitations, and performance trade-offs to non-technical stakeholders.
Learn to keep pace with the rapid evolution of Microsoft and emerging industry practice.

AI Applications Developer

Phoenix, Arizona

•

Today

job summary: Our client is looking for a AI Applications Developer for a contract to hire opportunity located in Phoenix, AZ. location: Phoenix, Arizona job type: Contract salary: $60 - 67 per hour work hours: 8am to 5pm education: Bachelors responsibilities: Position Overview Local Only. This is a contract-to-hire position. All candidates must be eligible to convert to a Full-Time Employee (FTE). The employer is unable to sponsor any visas. The Applications Developer Senior/Lead is resp

Contract

USD60 - USD67

AI Applications Developer

Hybrid in Phoenix, Arizona

•

Today

Job Description: The Applications Developer Senior/Lead is responsible for identifying and implementing Artificial Intelligence (AI) solutions to decrease administrative workload and improve quality. Acting as a bridge between operational units and technology, this role collaborates with diverse teams to integrate approved AI tools and develop secure, custom solutions within the Division of Technology Services (DTS) closed environment. The Applications Developer Senior/Lead translates operationa

Easy Apply

Contract

Depends on Experience

AI Applications Developer/Immediate Placement

Phoenix, Arizona

•

Today

This is an urgent requirement, please apply for immediate consideration. Job Title: AI Applications Developer Location: Phoenix, AZ Interview: Phone/In-Person Duration: Long Term Required Skills: AI/LLMs, RAG, .NET Job Description: The Applications Developer Senior/Lead is responsible for identifying and implementing Artificial Intelligence (AI) solutions to decrease administrative workload and improve quality. Skills - AI/LLMs, prompt engineering, and retrieval-augmented generation (RAG) -

Easy Apply

Contract

AI Applications Developer (only W2 and local to Phoenix AZ)

Phoenix, Arizona

•

Today

Position Description: The Applications Developer Senior/Lead is responsible for identifying and implementing Artificial Intelligence (AI) solutions to decrease administrative workload and improve quality. Acting as a bridge between operational units and technology, this role collaborates with diverse teams to integrate approved AI tools and develop secure, custom solutions within the Division of Technology Services (DTS) closed environment. The Applications Developer Senior/Lead translates op

Easy Apply

Contract

Senior/Lead AI Applications Developer- Hybrid.in person interview - Locals candidates only

Skills

Summary

Job Description

Key Responsibilities

Required Technical Knowledge

Core Competencies

Specialized Skills

Behavioral & Soft Skills

Quality Assurance & Documentation

Advanced Capabilities

Senior/Lead AI Applications Developer- Hybrid.in person interview - Locals candidates only

Job Details

Skills

Summary

Job Description

Key Responsibilities

Required Technical Knowledge

Core Competencies

Specialized Skills

Behavioral & Soft Skills

Quality Assurance & Documentation

Advanced Capabilities

Dice Job Match Score™

Shaji Gazni

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