Responsible AI Engineering Senior Manager (AI)

Location: Hybrid, United States; available office locations include Atlanta, 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, San Francisco, Morristown, Denver, Boston, Philadelphia, Des Moines, Overland Park, Los Angeles, Charlotte, Walnut Creek, Carmel, Seattle, Houston, Arlington, Orlando, Redmond, Bentonville, Beaverton, Nashville, Detroit, and San Diego. Travel may range from 0% to 100% based on business and client needs.

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

Company

hirify.global is a global professional services company delivering technology, cloud, data, AI, and industry solutions to businesses, governments, and other organizations.

What you will do

• Define and operationalize Responsible AI standards covering fairness, bias testing, explainability, governance, privacy, safety evaluation, and human oversight.
• Embed Responsible AI controls into engineering, MLOps, and LLMOps pipelines and lead model risk assessments, red-teaming, and safety evaluations.
• Architect and guide delivery of production AI, agentic AI, and data science platforms across OpenAI, Anthropic, AWS, Azure, and Google ecosystems.
• Lead and mentor large onshore and offshore engineering, data science, and delivery teams across geographies and time zones.
• Set reference architectures and technical standards for agentic AI orchestration, LLMOps, security, reliability, data science workflows, and cost governance.
• Shape client solutions and proposals, establish AI governance programs, and develop Responsible AI playbooks, training, and frameworks.

Requirements

• At least 10 years of experience in software, AI/ML engineering, or data science, including architecture and technical leadership.
• At least 6 years architecting and delivering enterprise AI, agentic AI, or data science platforms in production across major cloud and model providers.
• At least 5 years leading large distributed teams, including both onshore and offshore delivery teams.
• At least 5 years delivering production-grade AI use cases end to end from prototype through deployment and operations, with governance and risk controls built in.
• At least 3 years of experience with Responsible AI, AI governance, model risk management, or AI ethics, including hands-on fairness, explainability, privacy, or safety evaluation.
• At least 3 years of experience with LLMOps/MLOps at scale and multi-cloud architecture using AWS, Azure, and Google.
• At least 1 year of hands-on experience designing agentic AI architectures, including multi-agent orchestration, tool use, and autonomous workflow design.
• Bachelor’s degree or equivalent with at least 12 years of work experience; an Associate’s Degree requires at least 6 years of equivalent work experience.
• Applicants for employment in the U.S. must have work authorization that does not now or in the future require visa sponsorship.

Nice to have

• Certification or formal training in Responsible AI, AI governance, or AI risk management.
• Thought leadership or published work in Responsible AI, AI engineering, or agentic AI.
• Experience establishing AI governance functions or Responsible AI programs from the ground up.
• Master’s degree or PhD in Computer Science, Data Science, AI/ML, or a related field.
• Cloud architecture or AI engineering certifications from AWS, Azure, or Google.
• External client-facing consulting experience.

Culture & Benefits

• Full-time employment in a global, technology- and innovation-led professional services organization.
• Benefits may include medical, dental, vision, life, and long-term disability coverage.
• 401(k), bonus opportunities, paid holidays, and paid time off are offered.
• Work includes collaboration across onshore and offshore teams and may require travel from 0% to 100%.
• hirify.global promotes inclusion, diversity, equal employment opportunity, and reasonable accommodation for disabilities or religious observances.