Lead Software Engineer - Enterprise AI Services & Agents

Quick Facts

• Role: Lead Software Engineer (Enterprise AI Services & Agents)

Description

Lead the design and delivery of reusable enterprise assistants, agents, AI services, skills, and agentic workflows in a hands-on technical leadership role. Partner with engineers, customers, product leaders, architecture, security, and governance stakeholders to translate business needs into secure, scalable, production-ready AI solutions. Help establish enterprise blueprints and engineering standards, and build reusable frameworks/components to accelerate governed AI delivery across products and channels.

Responsibilities

• Lead system development and engineering for highly complex programs, including analysis, coding, testing, and debugging

• Act as a subject matter expert for innovative and cost-effective business solutions across multiple applications and systems

• Define engineering standards and enterprise blueprints for assistants, agents, agentic workflows, and AI evaluation

• Build reusable frameworks, components, SDKs, and service artifacts to reduce duplication and accelerate delivery

• Coordinate integration of products and processes and deliver timely, accurate results with exceptional customer service

• Provide consulting support on business status, issues, process improvements, and technology enhancements

• Participate in project proposals, estimates, and proof-of-concept activities as needed

• Conduct code reviews and monitor adherence to enterprise standards

• Mentor and coach engineers, guiding root-cause analysis, verification, and ongoing optimization

Requirements

• Bachelor’s degree in Computer Science, MIS, or a related field plus at least 5 years of development experience OR 9 years of related and applicable experience

• Demonstrated experience in software development lifecycle methodologies

• Strong problem-solving and troubleshooting skills with data-driven root-cause analysis and ongoing optimization

• Ability to lead, communicate, and mentor team members, including conducting design and code reviews and coaching others

• Ability to translate enterprise strategy (WaaS) into design and development decisions

• Ability to collaborate in a diverse development team model (e.g., global staffing, crowdsourcing)

• Ability to thrive in a fast-paced Agile environment with changing priorities and strong organizational/time-management skills

Benefits

• Build reusable, hardened enterprise AI capabilities used across products, channels, portfolios, and business areas

• Hands-on technical leadership with cross-functional influence across security and governance

• Focus on secure, scalable, supportable AI delivery with evaluation and operational rigor