AI Platform Engineering Senior Manager

Location: Hybrid; United States office locations including San Francisco, Milwaukee, Dallas, Columbus, Kirkland, Cincinnati, New York, Cleveland, Oklahoma City, Austin, Albany, Chicago, St. Pete, Hartford, Pittsburgh, St. Louis, Miami, Sacramento, Raleigh, Minneapolis, Mountain View, Scottsdale, Morristown, Denver, Boston, Philadelphia, Des Moines, Overland Park, Los Angeles, Charlotte, Walnut Creek, Carmel, Seattle, Houston, Arlington, Atlanta, Orlando, Redmond, Bentonville, Beaverton, Nashville, Detroit, and San Diego.

Annual salary range: $112,900–$338,300 depending on location, role, skills, and experience.

Company

hirify.global is a global professional services company helping organizations build digital capabilities and improve operations through technology, cloud, data, AI, and industry expertise.

What you will do

• Lead AI platform programs, providing technical direction, delivery governance, and accountability for availability, latency, throughput, cost per interaction, and team performance.
• Design and govern AI infrastructure across cloud and hybrid environments, including model serving, inference, deployment pipelines, environments, CI/CD, platform tooling, observability, SLOs, and incident management.
• Direct Forward Deployed Engineers through discovery, rapid prototyping, production rollout, adoption, runbooks, and handoff to client or managed-delivery teams.
• Lead performance and capacity engineering for real-time voice and chat workloads, including latency budgets, concurrency planning, load testing, scaling, inference optimization, model routing, caching, right-sizing, and FinOps reporting.
• Shape service data lakes, pipelines, reporting, dashboards, and analytics-agent foundations for calls, chats, transcripts, workforce data, and quality data.
• Grow the FDE and platform engineering practice, support business development, shape proposals and ROI cases, develop thought leadership, and build repeatable platform blueprints and operating playbooks.

Requirements

• 10+ years of experience in technology, data, or AI roles across consulting or industry, with work across varied industries and business problems.
• 5+ years leading technology, data, or AI programs end to end, including complexity, ambiguity, shifting scope, and senior stakeholders.
• 5+ years directly managing and developing technical practitioners into workstream and program leaders.
• 5+ years leading transformation in customer service, contact center, or customer experience operations, with knowledge of containment, first-contact resolution, average handle time, CSAT, and cost-to-serve.
• Experience leading FDEs or comparable client-embedded technical teams; hands-on FDE or engineering experience is a strong plus.
• Deep enterprise-scale cloud infrastructure experience with AWS, Azure, or Google Cloud, including containers, Kubernetes, infrastructure as code, and CI/CD.
• Experience running AI and ML workloads in production, including model serving, inference optimization, accelerator capacity, and managed AI platforms such as Amazon Bedrock, Microsoft Azure AI Foundry, Google Vertex AI, Gemini Enterprise Agent Platform, or Databricks Mosaic AI.
• Experience with performance engineering, observability, site reliability, modern data platforms, high-volume contact center platforms, voice and telephony infrastructure, real-time speech services, and peak-volume capacity planning.
• Experience building service data and analytics foundations and leading business development through proposals, program scoping, client presentations, and deal shaping.
• Strong executive presence, ability to hold difficult conversations with senior client stakeholders, and ability to connect technical decisions to business outcomes and influence cross-functional decisions.

Culture & Benefits

• Full-time employment in a hybrid workplace.
• Medical, dental, vision, life, and long-term disability coverage.
• 401(k) plan, bonus opportunities, paid holidays, and paid time off.
• Inclusive environment with a focus on belonging, diversity, innovation, and shared success.
• Applicants for employment in the United States must have work authorization that does not now or in the future require visa sponsorship.
• Current employees of an hirify.global client or affiliated hirify.global business may not be eligible.