Distinguished AI Engineer
About The Position
The Distinguished AI Engineer leads the design, development, and deployment of large-scale, production-grade artificial intelligence systems and platforms that enable enterprise-wide innovation and modernization. The role sets enterprise technical direction and provides hands-on technical leadership across AI systems, distributed architectures, software engineering practices, and platform strategy. This hybrid role requires associates to work in-office three days per week. Alternate locations may be considered for candidates within commuting distance of an office; candidates outside a reasonable commuting distance will not be considered unless an accommodation is granted as required by law.
Requirements
- Bachelor's degree in Information Technology, Computer Science, Engineering, or a related field, and a minimum of 15 years of software engineering experience; an equivalent combination of education and experience may be considered.
- Experience leading, designing, implementing, and operating distributed systems and large-scale architectures.
- Experience designing, developing, and maintaining software solutions using Python, Java, or comparable object-oriented programming languages.
- Experience designing and implementing APIs, microservices, and event-driven architectures.
- Experience applying cloud, CI/CD, and DevOps practices.
Nice To Haves
- Experience delivering production-grade AI/ML systems at scale.
- Experience building agentic systems or complex LLM-based applications.
- Experience modernizing large, complex legacy systems and delivering high-quality systems.
- Strong programming expertise in Python, Java, or similar technologies.
- Deep experience with APIs, microservices, event-driven architectures, cloud platforms, CI/CD, and DevOps practices.
- Advanced experience designing and leading distributed systems and large-scale architectures.
- Experience establishing enterprise technology standards and influencing technical direction across multiple teams or business domains.
- Experience serving as a technical authority for software engineering practices, architecture, platform strategy, and modern application architectures, including APIs, microservices, cloud technologies, and DevOps practices.
Responsibilities
- Architect and deliver scalable, resilient AI solutions using technologies such as agentic systems, large language models, distributed systems, and event-driven architectures.
- Define enterprise-wide technical direction, including architecture patterns, integration standards, and reusable platform capabilities.
- Lead AI-driven modernization of legacy systems through automated code transformation, service decomposition, and continuous optimization.
- Design and implement AI-enabled software development lifecycle (SDLC) practices to improve engineering velocity and quality.
- Establish technical standards, governance frameworks, and best practices for AI systems, including monitoring, evaluation, and responsible AI.
- Partner with engineering teams and stakeholders to enable adoption of AI-assisted development and drive continuous improvement in system performance and productivity.
- Provide technical leadership and mentorship, and influence enterprise technology decisions through deep expertise and hands-on engineering.
Benefits
- Merit increases
- Paid holidays
- Paid Time Off
- Incentive bonus programs (unless covered by a collective bargaining agreement)
- Medical benefits
- Dental insurance
- Vision insurance
- Short- and long-term disability benefits
- 401(k) with matching
- Stock purchase plan
- Life insurance
- Wellness programs
- Financial education resources
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What This Job Offers
Job Type
Full-time
Career Level
Principal
