AI Solutions Engineer

Working at Allegis Global Solutions (AGS) is more than just a job. It’s a career. It’s a community of people who invest in your development and empower you to blaze your own trail. Each of us is here to create real, measurable impact that moves needles. We operate beyond "roles" or "jobs" to realize the opportunity to make meaningful contributions to a bigger idea. Because we believe that when you build a workforce that’s designed to harness human enterprise, you design a workforce that’s built for impact.

At AGS, we help companies all over the world transform their people into a competitive advantage. It’s not about filling seats. It’s about designing workforces to meet missions and unleash the most transformative power in business today: The power of human enterprise.

With services around the globe, we have a point of view on the future of work that enables us to be a transformative partner in the way work gets done for our clients’ organizations. Meeting clients where they are, we design a plan and guide them along a transformational journey, applying bold actions and diverse minds to solve the most complex challenges – from permanent and extended workforce management to services procurement, consulting, direct sourcing and our Universal Workforce Model™.

We also represent over 100 countries and speak dozens of languages. So as you’re building relationships and doing your job, you’ll be exposed to other cultures and advancement opportunities while expanding your knowledge of global markets and strategies.

As a workplace, we focus on relationships – with each other, our clients and our candidates - in fact serving others is one of our core values. We support open communication and recognize that giving constructive criticism can be even harder than receiving it. We appreciate the fearless and the passionate, who force us to be better. Everything we do sits on a pillar of diversity - diverse perspectives, backgrounds and ideas drive innovation and make us successful.

See what it’s like to work at AGS by searching #LifeAtAGS on any social network.

You're the backbone of delivery. As an AI Solutions Engineer, you'll own complex features end-to-end—from design through production—and produce work that sets the standard for the rest of the team. You'll build intelligent agents, agentic workflows, and Foundation Layer capabilities that multiple solutions depend on.

This role sits between Junior Engineers and the Lead. You deliver independently on hard problems, contribute meaningfully to architecture decisions, and make the engineers around you better through code review and informal mentoring. The Lead sets technical direction; you execute it at a high level and push back when something doesn't make sense.

We expect you to be self-directed. You'll take ambiguous requirements and turn them into working software. You'll make sound trade-off decisions. You'll know when to build something reusable and when to ship something specific. If you want deep technical ownership without the overhead of formal leadership, this is your role.

Design & Deliver

Own complex features and services end-to-end—design, build, test, deploy, monitor

Build intelligent agents, conversational interfaces, and agentic workflows

Develop Foundation Layer services—reusable AI capabilities exposed as REST APIs and MCP servers

Design and implement integrations between AI capabilities and enterprise systems

Make sound technical decisions independently, escalating when appropriate

Troubleshoot complex issues across the full stack—prompts, orchestration, APIs, infrastructure

Architecture & Technical Quality

Contribute to architecture decisions and advocate for good design

Identify opportunities to extract reusable capabilities from solution-specific work

Write code that others can maintain—clean, well-tested, well-documented

Drive quality improvements: better test coverage, better patterns, better tooling

Evaluate new technologies and recommend adoption when they provide clear value

Team Contribution

Mentor junior engineers through pairing, code review, and coaching

Conduct thorough, constructive code reviews that raise team quality

Contribute to technical interviews and hiring decisions

Share knowledge through documentation, design discussions, and informal teaching

Propose and drive improvements to team processes and engineering practices

Stakeholder Collaboration

Translate business requirements into technical designs with appropriate trade-offs

Provide accurate estimates and communicate risks proactively

Partner with QA and Analysts to ensure quality and completeness

Represent engineering perspectives in cross-functional discussions

Required

3–6 years of software engineering experience with demonstrated ability to deliver complex work independently

Strong programming fundamentals in Python and/or TypeScript

Experience designing and building APIs, services, or distributed systems

Solid understanding of cloud platforms (Azure preferred, AWS/GCP acceptable)

Track record of writing well-tested, production-quality code

Experience with code review—both giving feedback that improves code and receiving it constructively

Ability to take ambiguous requirements and deliver working solutions

Preferred

Experience building AI/ML applications, conversational interfaces, or intelligent automation

Familiarity with LLM concepts: prompt engineering, RAG patterns, function calling, evaluation

Experience with Microsoft Power Platform (Power Automate, Copilot Studio)

Background in Azure AI services, OpenAI APIs, or similar LLM platforms

Understanding of orchestration frameworks (Semantic Kernel, LangChain, or similar)

Experience in staffing, HR tech, or workforce management

Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines

Technology Stack

Languages: Python, TypeScript

Platforms: Azure (Container Apps, Functions, AI Services), Microsoft 365

Agent Development: Copilot Studio, Power Automate, custom orchestration

Data: REST APIs, Dataverse, SQL, Snowflake

AI/ML: Large Language Models, prompt engineering, RAG patterns, MCP

Tools: Git, GitHub, CI/CD pipelines, Docker

We don't expect expertise in everything. We expect strong fundamentals and the ability to learn quickly.

What We're NOT Looking For

Configuration specialists who rely on drag-and-drop tools instead of writing code

Engineers who deliver "good enough" and move on without considering maintainability

Senior-by-title engineers who still need close supervision on design decisions

People who treat AI as magic rather than engineering—we build, test, and iterate

What Makes You Stand Out

You write code you'd be comfortable handing to someone else to maintain

You know when to build for reuse and when to ship something purpose-built

You push back on bad ideas respectfully, including your own

You make junior engineers better by working alongside them

You take ownership of problems, not just tasks

You've debugged something truly painful and came out the other side with a better system

Career Growth

This role sits in the middle of our engineering career track:

Junior → Senior → Lead → Architect

From here, you'll move toward the Lead role—taking on technical direction, formal mentoring, and broader architecture ownership. The path to Lead is about demonstrating consistent technical judgment, the ability to drive projects independently, and the willingness to make other engineers better.

As a workplace, we focus on relationships – with each other, our clients and our candidates - in fact serving others is one of our core values. We support open communication and recognize that giving constructive criticism can be even harder than receiving it. We appreciate the fearless and the passionate, who force us to be better. Everything we do sits on a pillar of diversity - diverse perspectives, backgrounds and ideas drive innovation and make us successful.

See what it’s like to work at AGS by searching #LifeAtAGS on any social network.