Principal AI Engineer

Required Skills: AI/ML , Python, agentic AI frameworks, GenAI Job Description Key Responsibilities Technical Leadership & Architecture • Own and define enterprise‑grade GenAI architectures, including RAG pipelines, agentic workflows, prompt orchestration, and multi‑model routing strategies. • Drive production readiness for GenAI solutions, ensuring scalability, resilience, observability, and cost efficiency. • Lead complex architectural decisions spanning data ingestion, vector databases, model selection, guardrails, latency optimization, and API scalability. • Establish reference architectures and reusable patterns to accelerate GenAI adoption across Lines of Business. • Enterprise Use‑Case Delivery (FDE Model) • Act as a Forward Deployed Principal Engineer, partnering directly with business and product teams to deliver high‑impact GenAI use cases from ideation to production. • Translate business problems into well‑defined AI system designs and NFRs, ensuring measurable outcomes. • Troubleshoot and resolve complex production issues across non‑prod and prod environments. • Influence platform roadmap by feeding real‑world use‑case requirements back into central AI services (e.g., Tachyon). • Governance, Risk & Compliance • Ensure all AI solutions align with risk, cyber, and model governance standards, including AIRR, data protection, and guardrails. • Partner with Cyber, MRM, Legal, and Risk teams to design compliant AI patterns without slowing delivery. • Embed security, privacy, and ethical AI principles into solution design by default. • Organizational Influence & Mentorship • Serve as a recognized GenAI expert across the enterprise—regularly consulted by engineering, architecture, and leadership teams. • Mentor senior and staff‑level engineers; raise the technical bar across teams. • Contribute to internal communities of practice, architecture reviews, and executive‑level technical discussions. • Represent GenAI capabilities in internal innovation forums and knowledge‑sharing sessions Required Qualifications • 7+ years of software engineering experience, with significant depth in AI/ML or data‑intensive systems. • 2+ Years of experience in Python programming language. • 2+ Proven experience designing and delivering production‑scale Generative AI systems in an enterprise environment. • 2+ years of experience in: • LLMs, prompt engineering, and RAG architecture • Vector databases and semantic search • API‑driven, cloud‑native architectures • Distributed systems and performance optimization Preferred Qualifications • Strong understanding of non‑functional requirements: security, scalability, resiliency, observability, and cost management. • Demonstrated Principal‑level impact: influence across multiple teams, platforms, or business units. • Experience operating in highly regulated environments (financial services strongly preferred). • Hands‑on experience with agentic AI frameworks and multi‑model orchestration. • Prior experience in a Forward Deployed Engineer or embedded engineering model. • Ability to communicate complex technical concepts clearly to senior executives and non‑technical stakeholders.