AI Engineer/Forward-Deployed Engineer
Willis Towers Watson10 days ago
Base Salary
$125k - $250k/yr
Responsibilities
- Design and build AI-enabled applications, copilots, agents, extraction pipelines, prediction interfaces, and decision-support tools.
- Work directly with business teams, clients, product owners, and operational users to translate real-world needs into technical solutions.
- Build and tune LLM workflows, prompt strategies, schema-driven extraction, tool-calling patterns, agent orchestration, evaluation loops, and human-in-the-loop controls.
- Integrate AI solutions with enterprise systems, APIs, data platforms, document repositories, workflow tools, observability platforms, and identity and access management services.
- Ensure production solutions meet standards for reliability, scalability, latency, maintainability, cost control, logging, monitoring, and operational support.
- Create evaluation datasets, test harnesses, validation tools, regression checks, and quality-review workflows.
- Define solution architecture, engineering standards, reusable patterns, and implementation approaches for AI platforms and services.
- Prepare structured and unstructured data, improve metadata, design retrieval strategies, and identify source-content gaps.
- Embed access controls, audit logging, data protection, responsible AI controls, security review, and compliance requirements into delivery.
- Support adoption through demos, pilots, training, documentation, feedback loops, and iterative improvement.
Requirements
- Significant professional experience in software engineering, technical leadership, solutions architecture, or platform engineering, ideally in enterprise-scale environments.
- Experience designing and delivering production applications using APIs, distributed systems, microservices, automated testing, CI/CD, observability, and cloud platforms.
- Hands-on experience building AI-enabled systems such as LLM pipelines, document extraction, structured output generation, AI-assisted analytics, prediction interfaces, or agentic workflows.
- Experience with business-critical systems where reliability, maintainability, operational support, and measurable business impact are essential.
- Experience collaborating with data scientists, product managers, QA teams, architects, security teams, and senior stakeholders.
- A track record of mentoring engineers, leading technical delivery, establishing engineering standards, and influencing teams beyond direct line management.
- Deep expertise across modern full-stack technologies including .NET, Azure, SQL, React, and Angular, plus distributed systems, observability, and AI tooling.
Benefits
- Base salary range of $125,000-$250,000 per year plus eligibility for an annual short-term incentive bonus.
- Medical, prescription, dental, vision, health savings, commuter, flexible spending, accident, critical illness, life insurance, AD&D, legal, identity theft protection, wellbeing, and work/life resource benefits.
- Paid holidays, paid time off, short- and long-term disability, bereavement, FMLA, ADA, jury duty, military, parental, and adoption leave.
- Contributory pension and 401(k) savings plans; eligible senior roles may also receive deferred compensation and deferred savings plans.
- The position will remain posted for at least three business days or until a sufficient candidate slate is identified.
About Willis Towers Watson
At WTW (NASDAQ: WTW), we provide data-driven, insight-led solutions in the areas of people, risk and capital. Leveraging the global view and local expertise of our colleagues serving 140 countries and markets, we help you sharpen your strategy, enhance organizational resilience, motivate your workforce and maximize performance.