brightfin is a revolutionary, subscription-based software provider of Technology Expense Management and Digital Workplace Solutions. Built natively on ServiceNow, brightfin helps companies centralize and manage IT assets and expenses across mobile, telecom (fixed / voice & data), and cloud.
brightfin partners with enterprises and government agencies globally to provide cost savings, deep insights, efficiency through automated workflows, and industry-leading services such as UEM, lifecycle management, bill pay, and more. The company has been recognized as a Visionary on Gartner’s Magic Quadrant for Managed Mobility Services, Global.
Employment Type: Full-Time
Job Summary: As the AI Engineering Manager, you will lead a team of automation and AI engineers responsible for designing, building, and scaling intelligent automation solutions across the organization. You will be accountable for the team’s technical direction, delivery quality, and growth, while partnering with business and technology leadership to align automation and AI initiatives with organizational strategy. This role blends people leadership, technical oversight, and strategic planning to mature the company’s automation and AI capabilities.
Essential Functions / Duties / Responsibilities:
Manage, mentor, and develop a team of AI/automation engineers, including hiring, performance management, career development, and day-to-day coaching
Set technical direction and standards for automation and AI development, including architecture patterns, tooling choices, and integration of LLM/AI capabilities into automation workflows
Personally write, review, and ship production code on a regular basis — this is a hands-on technical role, not a pure people-management position.
Serve as the team’s tech lead: make hands-on architecture and implementation decisions, and pair with engineers on complex or critical work.
Own the team’s project portfolio: prioritize initiatives, allocate resources, and ensure on-time, high-quality delivery of automation solutions
Partner with business stakeholders and senior leadership to identify automation opportunities, build the roadmap, and communicate progress and ROI
Review and guide solution architecture and code for complex automation and AI projects, ensuring scalability, security, and maintainability
Establish and enforce best practices for development, testing, deployment, monitoring, and governance of automation and AI systems
Oversee incident management and escalation processes for production automation issues, ensuring timely resolution and root-cause analysis
Evaluate emerging automation and AI technologies (RPA platforms, LLM providers, orchestration frameworks, agentic tooling) and make recommendations on adoption
Manage vendor and tool relationships (e.g., UiPath, Power Automate, AI platform providers), including licensing, contracts, and platform strategy
Drive cross-functional collaboration with IT, data, security, and compliance teams to ensure automation and AI initiatives meet organizational policies and standards
Create and maintain documentation standards, architecture guidelines, and knowledge-sharing practices across the team
Minimum Qualifications:
Bachelor’s degree in computer science, Engineering, or related technical field, or equivalent work experience
6+ years of experience in automation engineering, software engineering, or AI/ML development, including hands-on work with RPA platforms (UiPath, Power Automate, Automation Anywhere, or similar)
Demonstrated experience integrating AI/LLM technologies (e.g., OpenAI, Anthropic, Azure AI, or similar) into production systems
Strong hands-on proficiency in Python (or similar) with a track record of shipping production code
Required Knowledge/Skills/Abilities:
Proven ability to lead, motivate, and grow technical teams in a fast-paced, evolving environment
Strong understanding of AI/ML fundamentals, LLM orchestration, agentic workflows, and modern automat
