AI Solutions Engineer

Wiss is building AI capabilities that improve how our teams operate and how we help our clients solve complex business problems. As part of the Digital Technology team, the AI Solutions Engineer will design, build, and deploy AI-powered applications, intelligent workflows, and automation solutions that support both client-facing advisory engagements and internal operations across the firm.

You will work closely with Wiss Labs to architect and implement practical AI solutions that enhance operational efficiency, advisory delivery, and client service capabilities.

Wiss Labs is the AI innovation arm of Wiss — the engine behind every engagement, every tool, and every team. Built to make accounting more intelligent for the people who do it and the clients who depend on it.

This is a hands‑on engineering role ideal for someone who enjoys combining software engineering, AI technologies, and solution architecture to deliver measurable business impact. From rapid prototyping to production deployment, you will contribute to scalable AI systems that solve real business challenges in dynamic, fast‑paced environments.

The role offers exposure to both internal transformation initiatives and client‑facing projects, with opportunities to help shape the future of AI engineering and intelligent automation across Wiss.

This position will be based in our Florham Park, NJ office with a hybrid work arrangement (3 days in office). LOCAL CANDIDATES ONLY! Wiss is not currently offering sponsorship.

Compensation is outlined below and will be commensurate with experience:

The ideal candidate is a hands‑on AI Solutions engineer with strong Python skills and a solid understanding of finance, accounting, or professional services. You come with direct experience building AI platforms and data pipelines, scaling production systems, and working with the latest large language models and agentic AI frameworks. You are equally comfortable writing code, presenting to senior client stakeholders, and mentoring colleagues on emerging technology.

• Design, build, and deploy AI‑powered solutions (including LLM‑based applications, agentic workflows, and intelligent automation) to address mid‑market client needs across advisory engagements
• Develop and maintain scalable data pipelines, ETL processes, and integration layers connecting AI platforms with client systems (e.g., ERP, accounting, and financial platforms)
• Prototype, experiment, and iterate rapidly using the modern AI technologies and tooling — from foundational models and retrieval‑augmented generation (RAG) to multi‑agent orchestration and agent‑based AI systems
• Lead client‑facing interactions: gather requirements, present solution recommendations, demonstrate prototypes, and guide stakeholders through AI adoption and change management
• Architect and scale AI platforms from proof‑of‑concept through production deployment, ensuring reliability, security, and performance
• Stay current with the evolving AI landscape — evaluate new models, frameworks, tools, and vendors — and translate insights into actionable opportunities for the firm and its clients
• Collaborate with Wiss Labs to test, validate, and deploy emerging AI and fintech tools within live accounting and advisory workflows
• Influence and lead: contribute to AI engineering standards, architecture decisions, and implementation best practices across the firm, mentor junior team members, and help build the AI engineering function within the Technology team
• Support business development efforts by contributing to proposals, thought leadership, and client presentations that position Wiss as a leader in AI‑enabled professional services and technology solutions

• Proficiency in programming languages — Python is required — and experience with frameworks such as FastAPI, Flask, or Django for building production‑grade APIs and services
• Hands‑on experience with large language models (OpenAI, Claude, Llama, Gemini, etc.), prompt engineering, fine‑tuning, and model evaluation
• Experience designing and building agentic AI systems and multi‑agent workflows using orchestration frameworks such as Lang…