Engineering Manager, AI Solutions

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 AGS's AI Engineering team from the ground up, and we need a people leader to help us scale. The Engineering Manager, AI Solutions owns team health, delivery capacity, and career development for our India-based engineering team. This is fundamentally a people management role. Technical direction comes from the Head of AI Engineering and the Lead AI Solutions Engineer. Your job is to enable your team to do their best work—hiring great people, removing blockers, developing careers, and building a high-performance engineering culture. You'll manage a team that includes AI Solutions Engineers, AI Quality Engineers, and AI Solutions Analysts—starting with a small team and scaling to 20+. Together, this team builds intelligent agents, conversational interfaces, and reusable AI capabilities for AGS's global clients.

Key Responsibilities:

Team Leadership & Development

• Build and lead a high-performing engineering team (scaling to 20+)
• Own hiring, onboarding, performance management, and career development
• Conduct regular 1:1s, provide coaching, and create growth opportunities
• Foster a culture of ownership, learning, and engineering excellence
• Partner with the Lead AI Solutions Engineer to ensure engineers have the technical support they need

Delivery Management

• Ensure predictable delivery against committed timelines
• Manage capacity planning, workload distribution, and resource allocation
• Track team health metrics and drive continuous improvement
• Remove blockers and escalate issues before they become problems
• Balance delivery pressure with sustainable pace

Hiring & Team Building

• Execute our hiring philosophy: hire for software engineering fundamentals, not certifications
• Build a team with complementary skills across AI/ML, data engineering, platform, and full-stack development
• Run effective interview processes and make strong hiring decisions
• Onboard new team members and set them up for success

Stakeholder Coordination

• Partner with Head of AI Engineering on priorities and roadmap
• Coordinate with business stakeholders on delivery expectations
• Communicate team status, risks, and accomplishments to leadership
• Work across time zones with North America leadership (US Eastern overlap required)

Operational Excellence

• Establish and refine team processes (agile ceremonies, code review, deployment)
• Drive adoption of engineering best practices and standards
• Manage team budget and resource planning
• Ensure compliance with AGS governance and security requirements

The Team You'll Lead

• AI Solutions Engineers — Build Foundation Layer capabilities (APIs, services) and deliver agent solutions. Career track runs from Engineer → Senior → Lead → Architect. Strong software engineering fundamentals required across all levels.
• AI Quality Engineers — Design testing strategies for AI systems. Focus on behavioral testing for non-deterministic outputs.
• AI Solutions Analysts — Bridge business needs and technical implementation. Own requirements, conversation design, and stakeholder coordination.
  
  

Required

• 7+ years in technology roles, with 3+ years in engineering management
• Proven track record of building and leading engineering teams (10+ people)
• Experience with agile/scrum delivery methodologies
• Strong hiring skills—you've built teams, not just inherited them
• Excellent communication skills, especially with distributed/remote teams
• Comfort working across time zones (overlap with US Eastern required)

Preferred

• Experience managing teams that build AI/ML applications or intelligent automation
• Background in Microsoft technologies (Power Platform, Azure)
• Experience in staffing, HR tech, or workforce management
• Familiarity with conversational AI or agent development
• Previous experience in a matrixed, global organization

What Makes You Stand Out

• You genuinely enjoy developing people—their growth energizes you
• You create clarity in ambiguous situations
• You know when to shield your team and when to stretch them
• You build trust across time zones and cultures
• You lead with empathy but hold high standards
• You've built teams before, not just managed them
  
  

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.

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