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.

We're building the AI Engineering team at AGS from the ground up—and we need a technical anchor in India to make it work. As Lead AI Solutions Engineer, you'll own day-to-day technical decisions, mentor engineers, and drive projects from concept to production. You're the Head of AI Engineering's counterpart for delivery execution. While leadership in North America sets architecture and strategy, you'll translate that into working software and guide the team through implementation. This is a hands-on technical leadership role. You'll write code, review code, architect solutions, and make other engineers better. You'll have real authority over technical decisions and full accountability for delivery outcomes.

If you want to lead technically without becoming a full-time people manager, this is your role.

Key Responsibilities:

Technical Leadership

• Own day-to-day technical decisions for the India engineering team
• Lead design and architecture for agents, automations, and Foundation Layer capabilities
• Drive technical direction in partnership with the Head of AI Engineering
• Make build-vs-buy and technology selection recommendations
• Establish patterns, standards, and reference implementations the team will follow

Hands-On Delivery

• Design and build intelligent agents, conversational interfaces, and agentic workflows
• Develop Foundation Layer services—reusable AI capabilities exposed as REST APIs and MCP servers
• Create integrations between AI capabilities and enterprise systems
• Troubleshoot complex issues across the full stack

Team Development

• Mentor engineers through pairing, code review, and coaching
• Conduct technical interviews and help grow the team
• Set quality expectations and hold the team to them
• Build a culture of ownership where every engineer can deliver end-to-end

Stakeholder Collaboration

• Translate business requirements into technical solutions
• Provide estimates and communicate trade-offs clearly
• Partner with QA and Analysts to ensure quality and completeness
• Represent engineering in cross-functional discussions

Required

• 5-8 years of software engineering experience with demonstrated technical leadership
• Strong programming fundamentals in Python and/or TypeScript
• Experience building AI/ML applications, conversational interfaces, or intelligent automation
• Solid understanding of API design, integration patterns, and cloud platforms
• Track record of mentoring other engineers and raising team capability
• Ability to operate independently with minimal direction

Preferred

• Experience with Microsoft Power Platform (Power Apps, Power Automate, Copilot Studio)
• Background in Azure AI services, OpenAI APIs, or similar LLM platforms
• Understanding of prompt engineering, RAG patterns, and LLM application design
• Experience in staffing, HR tech, or workforce management
• Familiarity with agile delivery in distributed team environments

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, Azure DevOps, CI/CD pipelines

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

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.