Principal Software Engineer, Corporate AI at Jobgether – United States

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Software Engineer, Corporate AI in United States.

This senior technical leadership role sits at the intersection of artificial intelligence, machine learning, and large-scale distributed systems, driving the evolution of enterprise-grade intelligence capabilities. You will define and influence the long-term AI and data strategy, shaping how advanced models and automation are embedded into core products and internal platforms. The role combines deep hands-on engineering with high-level architectural ownership, ensuring systems are scalable, secure, and production-ready at enterprise scale. You will collaborate across engineering, product, and infrastructure teams to turn complex AI concepts into impactful business solutions. Operating in a highly cross-functional and innovation-driven environment, you will guide technical direction while actively contributing to design and implementation. This position is ideal for a leader who thrives in ambiguity, enjoys solving deeply complex problems, and can elevate engineering excellence across an organization.

In this role, you will define and drive the technical vision for AI, intelligence systems, and data platforms while ensuring alignment with broader organizational strategy and long-term product goals. You will lead the design and evolution of scalable AI architectures, data pipelines, and intelligent services, contributing hands-on when needed to validate approaches or accelerate delivery. Key responsibilities include:

• Defining and communicating the technical direction for AI, ML, automation, and data initiatives across multiple teams
• Leading architecture design for scalable, secure, and high-performance AI systems and data platforms
• Building and optimizing intelligent services, distributed systems, and data pipelines from concept to production
• Identifying opportunities to simplify systems, reduce risk, and improve engineering efficiency and reliability
• Evaluating and integrating emerging AI/ML technologies to maintain a forward-looking technical ecosystem
• Partnering with cross-functional stakeholders to translate technical capabilities into measurable business outcomes
• Driving innovation in model development, data engineering, search, and intelligent decision systems
• Providing mentorship, technical leadership, and design guidance to engineers and data scientists
• Supporting strategic planning, roadmap definition, and execution of high-impact, complex initiatives
• Promoting engineering best practices including CI/CD, testing, observability, and operational excellence

This role requires extensive experience in software engineering and deep technical expertise in AI-driven systems, distributed architectures, and large-scale data platforms. You should be a strong technical leader capable of influencing strategy and execution across multiple teams without relying on formal authority. Key requirements include:

• 12+ years of software engineering experience, including significant work in AI, ML, automation, or data engineering
• Proven track record of leading large-scale, multi-team technical initiatives from concept to production
• Strong systems design and architectural judgment, with the ability to balance scalability, reliability, and speed of delivery
• Experience mentoring engineers and raising technical standards through design reviews, code reviews, and coaching
• Ability to influence technical direction across teams through collaboration and sound technical reasoning
• Excellent communication skills, with the ability to explain complex systems to both technical and non-technical audiences
• Strong coding ability in languages such as Python, Java, Go, or Scala, with hands-on experience in production systems
• Experience working with cross-functional partners including product, design, infrastructure, and governance teams
• Strong problem-solving skills with the ability to operate effectively in ambiguous and fast-changing environments
• Experience contributing to platform-scale or enterprise-wide engineering initiatives is highly valued

• Competitive compensation aligned with experience and geographic location (up to $346,700 USD depending on zone)
• Equity opportunities as part of a long-term incentive package
• Comprehensive health, dental, and vision insurance
• Remote-friendly and flexible working arrangements depending on role requirements
• Paid time off, holidays, and parental leave policies
• Opportunities for professional growth, leadership development, and internal mobility
• Access to cutting-edge AI and engineering tools and large-scale technical challenges
• Inclusive and collaborative engineering culture focused on innovation and impact