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About the Role

Design and deliver cutting-edge AI solutions that solve complex, real-world business challenges and shape the future of work. This hands-on role involves partnering with stakeholders to translate needs into scalable, AI-powered solutions, owning the full lifecycle from architecture to adoption, and embedding AI into real workflows.

Responsibilities

• Design and build AI-enabled applications, copilots, agents, extraction pipelines, prediction interfaces, and decision-support tools using foundation models, retrieval-augmented generation, structured outputs, and orchestration frameworks.
• Work directly with business teams, product owners, clients, or operational users to understand real workflows, constraints, data quality issues, and adoption barriers, then translate these into working 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 AI solutions meet enterprise 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 to measure accuracy, extraction quality, hallucination risk, and business usefulness.
• Define solution architecture, engineering standards, reusable patterns, and implementation approaches for AI-enabled platforms and services.
• Work with engineering, data, and business teams to prepare structured and unstructured data, improve metadata, design retrieval strategies, and identify gaps in source content.
• Embed access controls, audit logging, data protection, responsible AI controls, security review, and compliance requirements into the AI delivery lifecycle.
• Support users through demos, pilots, training, feedback loops, documentation, and iterative improvement so that deployed AI solutions create measurable business value.

Requirements

• Strong enterprise engineering background.
• Deep expertise across modern full-stack technologies (.NET, Azure, SQL, React/Angular).
• Experience in distributed systems.
• Experience in observability.
• Experience in AI tooling such as LLMs, retrieval pipelines, and agentic workflows.
• Ability to mentor others.
• Ability to resolve production challenges.
• Ability to scale prototypes into robust, enterprise-grade solutions.

Skills

• .NET
• Azure
• SQL
• React
• Angular
• Distributed systems
• Observability
• LLMs
• Retrieval pipelines
• Agentic workflows
• Foundation models
• Retrieval-augmented generation
• Orchestration frameworks
• Prompt strategies
• Schema-driven extraction
• Tool-calling patterns
• Agent orchestration
• Evaluation loops
• Human-in-the-loop controls
• Enterprise integration
• APIs
• Data platforms
• Document repositories
• Workflow tools
• Observability platforms
• Identity and access management services
• Reliability
• Scalability
• Latency
• Maintainability
• Cost control
• Logging
• Monitoring
• Operational support
• Evaluation datasets
• Test harnesses
• Validation tools
• Regression checks
• Quality review workflows
• Architecture
• Engineering standards
• Reusable patterns
• Implementation approaches
• Data preparation
• Metadata improvement
• Retrieval strategies
• Security
• Privacy
• Governance
• Access controls
• Audit logging
• Data protection
• Responsible AI controls
• Security review
• Compliance requirements
• User support
• Demos
• Pilots
• Training
• Feedback loops
• Documentation
• Iterative improvement

Location

• Hybrid

Work Type

• Hybrid
• Remote
• Office

Experience Level

• Experienced Solutions Architect
• Staff Engineer
• Technical Lead

About the Company

• At WTW, you’ll be part of our Health, Wealth & Career (HWC) segment—where we use data, technology, and deep expertise to shape the future of work.
• You’ll collaborate across multiple lines of business—such as Retirement, Health & Benefits, and Workforce Strategy—gaining exposure to diverse challenges and opportunities.
• As the role evolves, you’ll also help deliver innovative, AI-driven solutions directly to external clients, turning complex problems into scalable outcomes.
• Together, we’re creating more resilient, high-performing organizations—enhancing wellbeing, enabling better decisions, and driving sustainable business success at scale.