Artificial Intelligence Engineer

IFG - International Financial Group; Seattle (WA); On-site; USD 120,000 - 160,000; Full time

Job summary

IFG - International Financial Group in Seattle is seeking an AI Engineer to lead development of intelligent automation solutions across our engineering portfolio. You will design and implement AI-powered agentic services, including reporting automation, codename mapping, team concierge agents, telemetry insights, and onboarding support.

The ideal candidate has 4+ years in software development or automation engineering, a Bachelor's in CS or related field, and hands-on experience with Copilot

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field
• 4+ years of software development or automation engineering
• Experience with Microsoft AI & automation stack: Power Automate, Azure Logic Apps, Azure OpenAI, Power BI

Responsibilities

• Build intelligent automation workflows that extract, transform, and standardize data from Azure DevOps, Excel, and internal systems
• Integrate LLM-based components (e.g., Azure OpenAI) to generate summaries, insights, and narratives
• Develop reusable agentic services for codename mapping, team concierge support, telemetry insights, and onboarding
• Collaborate with PMs and stakeholders to define scalable templates and standards
• Maintain prompt logic and ensure agent reliability, traceability, and performance
• Conduct testing, validation, and continuous optimization of automation systems
• Customize and implement system software to meet evolving requirements
• Perform QA, unit testing, and post-deployment validation

Skills

Copilot Studio

Azure OpenAI Service

Visual Studio

Power BI

Power Automate

Education

Bachelor's degree in Computer Science/Engineering

Job description

One of our fortune 25 tech client is looking for AI Engineer

Job Description:

Typical Day in the Role

• Purpose of the Team: The purpose of the team that focus on end to end technology for surface devices including camera, display, sensor, audio etc. The team will be focusing in sprints – 6 weeks per project
• Key projects: This role will design and implement a suite of AI-powered agentic services—including reporting automation, codename mapping, team concierge agents, telemetry insights, and onboarding support. Will partnering directly with the PM on the team working to provide best design.
• Typical task breakdown and operating rhythm: Sprint 6 week cadence: Typical day in the role will include limited meetings, research/prototyping a week, design a few days, initial implementation 1 week, one or two weeks testing out the implementation/fixing any issues

Candidate Requirements

• Years of Experience Required: 3-4 years of experience required for the role
• Degrees or certifications required: Bachelor's degree in Computer Science, Engineering, or related field preferred or onsite
• Disqualifiers: Resumes with lack of holding job for at least a year.
• Best vs. Average: The ideal candidate is comfortable working across domains, building reusable agentic patterns, and collaborating with PMs, engineers, and data stakeholders to deliver scalable, intelligent systems. As well as experience with Microsoft AI & automation stack: Power Automate, Azure Logic Apps, Azure OpenAI, Power BI, Copilot Agent, Agent-based architectures (e.g., MCP, Semantic Kernel, Copilot Studio), Prompt engineering and LLM orchestration, Scripting and agent development
• Performance Indicators: Performance will be assessed based on quality of work, meet deliverables on time, and ability to be proactive.

Hard Skills Required + Years of Experience

1. 1. Minimum 2+ years experience Copilot Studio
2. 2. Minimum 2+ year experience Azure OpenAI Service
3. 3. Minimum 2+ years experience Visual Studio
4. 4. Minimum 2+ years experience Power BI
5. 5. Minimum 2+ years experience Power Automate plus

Summary:

We’re looking for an AI Engineer to lead the development of intelligent automation solutions that streamline operations, reduce manual effort, and support product management across a large engineering portfolio. This role will design and implement a suite of AI-powered agentic services—including reporting automation, codename mapping, team concierge agents, telemetry insights, and onboarding support. The ideal candidate is comfortable working across domains, building reusable agentic patterns, and collaborating with PMs, engineers, and data stakeholders to deliver scalable, intelligent systems.

Preferred Experience:

• Agent-based architectures (e.g., MCP, Semantic Kernel, Copilot Studio)
• Prompt engineering and LLM orchestration
• Scripting and agent development

Job Responsibilities:

• Build intelligent automation workflows that extract, transform, and standardize data from Azure DevOps, Excel, and internal systems
• Integrate LLM-based components (e.g., Azure OpenAI) to generate summaries, insights, and narratives
• Develop reusable agentic services for codename mapping, team concierge support, telemetry insights, and onboarding
• Collaborate with PMs and stakeholders to define scalable templates and standards
• Maintain prompt logic and ensure agent reliability, traceability, and performance
• Conduct testing, validation, and continuous optimization of automation systems
• Customize and implement system software to meet evolving requirements
• Perform QA, unit testing, and post-deployment validation

Qualifications:

• 4+ years of experience in software development or automation engineering
• Bachelor's degree in Computer Science, Engineering, or related field
• Strong foundation in data structures, algorithms, and software design
• Experience with large-scale systems, troubleshooting, and legacy modernization
• Agile development experience and strong problem-solving skills