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.

Rather than owning a single product, you will embed with teams, shape solutions, and help scale AI capability through reusable patterns, platforms, and accelerators aligned to enterprise strategy.

• Partner with product and business teams to identify and deliver high‑impact AI use cases aligned to enterprise priorities
• Translate ambiguous business problems into practical, production‑ready AI solutions
• Focus on delivering value aligned to measurable outcomes and ROI

• Act as an embedded engineer/architect within delivery teams to accelerate AI solution design and implementation
• Bridge the gap between central AI enablement capabilities and domain‑specific business needs
• Collaborate in a federated operating model, enabling teams while maintaining enterprise standards

• Contribute to and leverage enterprise AI platforms, MLOps/LLMOps capabilities, and reusable accelerators
• Create reusable patterns (e.g., RAG architectures, evaluation frameworks, guardrails) that reduce time‑to‑market and cost
• Help drive critical mass adoption of AI platforms across engineering teams

• Design AI solutions that meet enterprise standards for security, governance, and responsible AI
• Implement guardrails, evaluation strategies, and monitoring to ensure trusted AI outcomes and customer protection
• Champion sustainable engineering practices including reusability, scalability, and governance alignment

• Assess emerging AI technologies and guide teams on when and how to adopt them responsibly
• Help teams move up the AI maturity curve—from point solutions to enterprise‑scale, embedded AI capabilities
• Influence architecture decisions that enable long‑term transformation, not just short‑term delivery

• Mentor engineers and product teams on AI best practices, architecture, and delivery approaches
• Act as a force multiplier, enabling teams rather than becoming a bottleneck
• Contribute to internal knowledge sharing, playbooks, and AI community building (e.g., demos, patterns, guidance)

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

• 8+ years of engineering experience, including building and scaling distributed systems
• 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

Salary ranges below reflect targeted base salaries. Non‑sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation for all…