Job Information
Allegis Global Solutions Lead AI Solutions Engineer in Bengaluru, India
Company Description
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.
Job Description
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
Qualifications
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.
Additional Information
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.