Director, Emerging Technology

Posted Nov 2

This is a fully remote position, open to applicants in United States.

📋 Description

• Spearhead the development, deployment, and integration of the firm's internal AI capabilities.

• Convert business and technology objectives into scalable AI solutions.

• Collaborate with senior business leaders to implement the firm's AI strategy.

• Identify and prioritize AI opportunities across Service Desk, Finance, Operations, CXM, and corporate divisions.

• Create and uphold a phased roadmap for AI solutions.

• Assess emerging AI technologies, platforms, models, and frameworks.

• Set standards for evaluating AI opportunities based on impact, feasibility, risk, security, and ROI.

• Provide guidance on AI engineering, implementation strategies, and upcoming AI capabilities.

• Direct the design, development, and deployment of AI agents, automation tools, and AI-driven applications.

• Foster use cases including ticket triage, knowledge retrieval, workflow automation, financial processes, and operational insights.

• Guarantee that AI solutions are scalable, secure, reliable, and compliant.

• Manage integration with enterprise systems and workflows.

• Build, mentor, and lead the AI engineering team, starting with 2–3 AI engineers.

• Establish development standards, architecture patterns, and best practices.

• Collaborate with infrastructure, security, data, application, compliance, legal, and privacy teams.

• Set up responsible AI practices and governance.

• Ensure controls for sensitive data, model usage, access, and monitoring.

• Support compliance with requirements for financial services and healthcare sectors.


⛳️ Requirements

• Over 8 years of experience in technology or automation.

• 7-10 years of experience in software engineering, data engineering, AI/ML, or a related discipline.

• 5-7 years of experience in technical leadership or people management.

• 5-7 years of proven experience in deploying AI/ML or generative AI solutions in production environments.

• 5-7 years of extensive knowledge of LLMs, AI agents, RAG, automation, APIs, and data pipelines.

• 5-7 years of experience in translating business requirements into technical solutions.

• 5-7 years of experience in regulated or security-sensitive environments.

• Excellent communication and stakeholder management skills.

• Experience in an MSP, professional services, financial services, or healthcare setting.


🏝️ Benefits

• Exposure to a diverse range of technologies.

• Be part of a team of seasoned engineers dedicated to delivering exceptional service.

• Competitive salary.

• Performance-based bonus.

• Comprehensive benefits package: medical, dental, vision, disability, life insurance, 401k, and paid time off.

• Opportunities for further technical education through online courses.

• A positive, friendly, and supportive work environment.

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