Senior Software Engineer II – Enterprise AI Consulting & Embedded Experts

What You’ll Do

We’re looking for a Senior Software Engineer II to join our AI Enablement product family within the Consulting & Embedded Experts team. In this role, you will operate as a trusted technical advisor and hands‑on engineer, partnering directly with product and business teams to accelerate the safe, secure, and scalable adoption of AI across the enterprise.

Key responsibilities include:

• Drive AI Adoption & Business Value – Partner with product and business teams to identify and deliver high‑impact AI use cases aligned to enterprise priorities.
• Embed with Teams as a Technical Expert – Act as an embedded engineer/architect within delivery teams to accelerate AI solution design and implementation.
• Build & Scale Reusable AI Capabilities – Contribute to and leverage enterprise AI platforms, MLOps/LLMOps capabilities, and reusable accelerators; create reusable patterns that reduce time‑to‑market and cost.
• Ensure Safe, Secure, and Sustainable AI – Design AI solutions that meet enterprise standards for security, governance, and responsible AI; implement guardrails, evaluation strategies, and monitoring.
• Shape Technical Direction & Capability Maturity – Assess emerging AI technologies and guide teams on responsible adoption; influence architecture decisions that enable long‑term transformation.
• Enable & Elevate Others – Mentor engineers and product teams on AI best practices, architecture, and delivery approaches; contribute to internal knowledge sharing and community building.

Our mission is to drive enterprise AI innovation through scalable platforms, reusable patterns, and strategic implementation, empowering teams to deliver secure, high‑value AI solutions at scale.

We focus on:

• Expanding workforce adoption of AI through accessible, secure capabilities.
• Providing engineer‑friendly platforms and patterns to accelerate delivery.
• Delivering business‑aligned use cases that create measurable value.

• Associate’s or Bachelor’s degree (preference in a science, technology, engineering, or math) or equivalent work experience.
• 8+ years of engineering experience, including building and scaling distributed systems.
• 5+ years of experience working with cloud platforms (AWS preferred).
• 5+ years of experience with modern data/AI architectures.
• Experience working in complex, matrixed environments with multiple stakeholders.
• Strong ability to operate in ambiguity and move between strategy and hands‑on delivery.
• Proven ability to influence without authority and drive adoption across teams.
• Excellent communication skills – able to translate between technical and business audiences.

• Experience building AI/ML or GenAI solutions in production environments.
• Familiarity with LLMOps, MLOps, evaluation frameworks, and AI guardrails.
• Experience with cloud platforms (e.g., AWS) and modern data/AI architectures.
• Background in solution architecture, consulting, or platform engineering.
• Experience building reusable frameworks, accelerators, or internal platforms.

Non‑sales positions have the opportunity to participate in a bonus program. Base salary ranges from $127,000 to $152,000 per year.

• Flexible Time Off (FTO) for salaried employees.
• Pension eligibility.
• Hybrid work environment (in‑office and remote) available in Des Moines, IA or Charlotte, NC.

Role includes partnership with global teams. Expect flexibility with a regular start time around 7:30–8:00am CST a few days a week.

At this time, we are not considering candidates that need immigration sponsorship or work authorization beyond those currently authorized.

Principal is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.