Partner with senior business leaders to execute the firm's AI strategy and translate strategic priorities into actionable initiatives.
Identify and prioritize high-value AI opportunities across departments including Service Desk, Finance, Operations, Customer Experience Management (CXM), and other corporate functions.
Develop and maintain a phased roadmap for AI solution development, deployment, and organizational adoption.
Evaluate emerging AI technologies, platforms, models, and frameworks and determine where they can provide meaningful business value.
Establish practical standards for evaluating AI opportunities based on business impact, technical feasibility, risk, security, and expected ROI.
Serve as a senior internal advisor on AI engineering, implementation approaches, and emerging AI capabilities.
Lead the design, development, and deployment of AI agents, automation, and AI-powered applications.
Drive use cases such as ticket triage, knowledge retrieval, workflow automation, financial processes, and operational insights.
Ensure AI solutions are scalable, secure, reliable, and compliant.
Oversee integration of AI solutions with existing enterprise systems and workflows.
Build, mentor, and lead the AI engineering team.
Establish development standards, architecture patterns, and best practices.
Partner with infrastructure, security, data, and application teams to deliver AI solutions.
Establish responsible AI practices and appropriate governance.
Partner with Security, Compliance, Legal, and Privacy teams on AI-related requirements.
Ensure appropriate controls for sensitive data, model usage, access, and monitoring.
Support compliance requirements applicable to financial services and healthcare environments.
Experience & Qualifications
8+ years of experience in technology or automation.
7-10 years of experience in software engineering, data engineering, AI/ML, or a related field
5-7 years Technical leadership or people management experience
5-7 Proven years of experience deploying AI/ML or generative AI solutions into production.
5-7 years of strong knowledge of LLMs, AI agents, RAG, automation, APIs, and data pipelines
5-7 of experience translating business requirements into technical solutions
5-7 years of experience working in regulated or security-sensitive environments
Strong communication and stakeholder management skills
Experience in an MSP, professional services, financial services, or healthcare environment.
Benefits of Working for Abacus
Exposure to diverse array of technologies
Part of a team of experienced engineers who aim to deliver exceptional service
Competitive compensation
Performance bonus
Robust benefits package: medical, dental, vision, disability, life insurance, 401k, and PTO
Opportunities to further technical education through online courses
Positive, friendly, supportive work environment
