Lead the end‑to‑end architecture for AI‑enabled platforms supporting Internal Audit
Define scalable, reusable architectural patterns for conversational assistants, generative insights, predictive analytics, and continuous auditing use cases
Act as the technical authority for AI architecture within Internal Audit Technology
Lead the design and implementation of AI orchestration frameworks
Architect solutions using frameworks such as LangChain (or equivalent)
Build and deliver production‑ready AI systems
Establish and mature LLMOps / MLOps practices
Embed AI governance and model risk management into system design
Translate audit and risk challenges into high‑impact AI use cases
Guide experimentation and proof‑of‑concepts while ensuring a clear path to production

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
10+ years of experience designing and delivering enterprise software or data platforms, with 3+ years focused on AI / ML solutions
Hands‑on experience with large language models and modern AI frameworks (prompt engineering, embeddings, RAG, agents)
Strong background in cloud platforms (Azure or AWS) and microservices‑based architectures
Experience operationalizing AI systems with MLOps / LLMOps tooling and practices
Solid understanding of data engineering, APIs, and distributed systems
Proven ability to design systems with security, privacy, and regulatory considerations

Benefits

Retirement savings plan (401K) with company match
Insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages
Paid-time off including vacation, sick leave, short term disability, and family care responsibilities
Access to Employee Assistance Program
Incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans)
Eligibility for certain tax advantaged savings plans

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI architectureAI orchestration frameworksLangChainLLMOpsMLOpslarge language modelsprompt engineeringembeddingsRAGdata engineering

Soft Skills

leadershiptechnical authoritycommunicationproblem-solvingcollaborationexperimentation guidancerisk management