AI Applications Developer

Idealforce LLC; Phoenix (AZ); Híbrido; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

Idealforce LLC is seeking an AI Applications Developer Senior/Lead to identify and implement AI solutions within the DTS closed environment in Phoenix. The role focuses on architecture, prototyping, and deploying custom AI tools, using Python and Azure OpenAI alongside Gemini ecosystems.

Translate operational needs into technical specs, guide AI adoption, and maintain thorough technical documentation. This hybrid Phoenix-based position requires strong collaboration with cross-functional teams

Formación

• Bachelor’s degree plus 10+ years of programming and analysis experience; Master’s preferred.
• Experience with AI/LLMs, prompt engineering and securing AI in enterprise environments.
• Ability to translate complex processes into detailed technical requirements and architecture.

Responsabilidades

• Identify and implement AI solutions to reduce admin workload and improve quality.
• Bridge between operational units and technology to specify and guide AI adoption.
• Architect, prototype, and deploy custom AI tools within the DTS closed environment.
• Document code, architecture, prompts, and workflows for security and compliance.
• Collaborate with diverse teams and leverage approved enterprise AI platforms.

Conocimientos

AI Development

Python

C#

SQL

Prompt Engineering

Azure OpenAI

RAG pipelines

GitHub Copilot

Educación

Bachelor's degree

Master’s degree preferred

Herramientas

Google Cloud Vertex AI

Gemini ecosystems

NotebookLM

Azure AI Foundry

Azure OpenAI

Descripción del empleo

Idealforce has contract to hire position available immediately for a.AI Applications Developer to join our customer in Phoenix,AZ. This a Hybrid Position Please find below additional details about this job. Only Local Candidates are considered for this role. LOCAL TO PHOENIX ONLY

Position Summary:

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 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 DTS environment. This position maintains comprehensive technical documentation of code, architecture, and system prompts.

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 DTS 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 DTS closed environment.

• 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.

• 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)
• 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

• 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
• 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.
• 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

Employee shall secure and maintain a valid Level One fingerprint clearance card that meets Client requirements for a Level One card pursuant to Arizona Revised Statute 41-1969. Bachelor's degree plus 10 or more years of programming and analysis experience (or equivalent experience). Master's Degree preferred.

Required Skills

• Masters in AI or 2 years of AI experience
• Requirement Gathering

Preferred Skills

• Azure Open AI
• SQL
• C#
• Python

Disclaimer :The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of normal responsibilities from time to time, as needed.