Senior AI Engineer, AI Services

About the role

AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.

At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD.

We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD.

AHEAD is seeking a Senior AI Engineer, AI Services to help design, build, and deploy enterprise-grade AI solutions for our clients.

This is a hands-on technical consulting role for someone who can translate ambiguous business and technical needs into practical, scalable, and secure AI solutions. You will work alongside client technology and business stakeholders, AHEAD architects, and delivery teams to understand requirements, shape solution designs, develop and integrate AI capabilities, and help move initiatives from prototype to production and measurable business value.

The ideal candidate brings strong software engineering fundamentals, applied AI and machine learning fluency, and the ability to make sound technical decisions in complex enterprise environments. You should be comfortable contributing to architecture discussions, evaluating trade-offs, developing proof-of-concept solutions, supporting production implementations, and communicating technical concepts clearly to both technical and non-technical audiences.

Success in this role requires credibility with engineers, data scientists, architects, platform teams, security stakeholders, and business leaders. You will be expected to take ownership of assigned technical workstreams, collaborate effectively across teams, proactively identify risks and dependencies, and contribute to high-quality client outcomes. You will also help share knowledge, establish repeatable delivery practices, and mentor less-experienced team members.

This role is well suited for candidates with backgrounds in applied AI consulting, machine learning engineering, AI solution architecture, technical product development, data science engineering, or advanced analytics engineering environments. Candidates should be energized by solving real-world client problems and turning emerging AI capabilities into reliable, maintainable solutions that create business impact.