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About the Role

The Lead AI Forward Engineer designs and guides the delivery of AI-powered solutions that reduce operational toil and accelerate technology teams across the CIO organization. This role operates as a forward-deployed solution architect and engineer, partnering closely with teams to identify opportunities, design end-to-end architectures, and drive implementations to production. You will own solution design from concept through deployment, ensuring solutions are scalable, maintainable, and extensible. You will evaluate emerging AI technologies, define repeatable patterns, and help build new capabilities through hands-on implementation, mentorship, and shared standards.

Responsibilities

Identify high-impact opportunities to apply AI automation and intelligent agents across CIO technology teams.
Design end-to-end AI solutions, including workflows, integration patterns, data flows, and operational considerations.
Guide implementation from prototype to production, ensuring solutions meet reliability, security, and compliance expectations.
Define reusable architectural patterns and reference designs to enable broader adoption across teams.
Build scalable pipelines to collect and analyze inference‑ and workflow‑level telemetry, integrating with TR's data backbone.
Develop dashboards and reports providing clear visibility into performance, reliability, safety, and cost.
Ensure compliance with TR's AI standards for monitoring, governance, privacy, and auditability.
Evaluate and recommend AI/ML technologies and platforms (LLM orchestration, agentic frameworks, cloud AI services) based on capability, cost, risk, and fit.
Design flexible architectures that can evolve with model/provider changes and emerging AI capabilities.
Apply sound judgment on when AI is appropriate vs. when simpler automation or traditional engineering approaches are better.
Establish and track SLOs/SLIs for critical AI services to meet enterprise reliability and compliance requirements.
Integrate AI observability tooling into CI/CD so new models, prompts, and workflows are automatically enrolled in monitoring and evaluation.
Develop automated guardrails and policy enforcement (e.g., limits, anomaly detection, abuse/failure pattern detection) with cloud engineering and security teams.
Partner with engineering teams, service owners, and stakeholders to translate business needs into technical requirements and solution designs.
Communicate trade-offs and design decisions clearly to both technical and non-technical audiences, including senior leadership when needed.
Mentor engineers and share patterns, practices, and lessons learned to raise overall AI solution design maturity.
Partner with Product, Data Science and AI teams to design and run evaluation frameworks for LLMs/ML models (offline/online tests, benchmarks, canaries, A/B experiments).
Work with Product, Data Science, AI Inference Engineering, and Enterprise AI teams to onboard new AI use cases into the observability platform from day one.
Collaborate with Cloud Engineers (AWS, Azure and GCP) and SREs to align AI observability with broader platform observability and capacity management.
Support scaling and monitoring of AI infrastructure and workloads during major releases and global events.

Requirements

Strong solution design/architecture capability: end-to-end system design, integration patterns, API thinking, and operational design.
Working knowledge of AI/ML and LLM application patterns, including: LLM capabilities/limitations, prompt design, orchestration approaches, and agent workflows; Practical trade-offs (latency, quality, cost, safety, reliability); Production AI systems and observability challenges (prompting, context windows, RAG, hallucinations, provider variability).
Proficiency in Python (strongly preferred) and ability to prototype and validate designs with hands-on technical work.
Cloud architecture familiarity in AWS, Azure, or GCP, including common service patterns and enterprise constraints.
Knowledge of distributed systems, microservices, CI/CD, and cloud‑native architectures.
Strong communication skills: ability to document designs, influence decisions, and align diverse stakeholders.
6+ years of experience with progression in solution architecture, technical strategy, or senior engineering roles.
Experience building software prototypes and taking solutions to production in ambiguous, low-precedent environments.
Familiarity with LLM frameworks and patterns (e.g., LangChain, LlamaIndex), RAG/vector search concepts, and enterprise integration considerations.
Experience with DevOps/Platform Engineering/SRE principles and designing for operational excellence.
Exposure to enterprise service management (e.g., ServiceNow/ITSM), security architecture, and compliance-oriented environments.
Demonstrated technical leadership through mentoring, architectural governance, or cross-team enablement.

Skills

AI automation
Intelligent agents
End-to-end AI solutions design
Workflow design
Integration patterns
Data flows
Operational considerations
Scalable pipelines
Telemetry collection and analysis
Dashboard development
Report development
AI standards compliance
AI/ML technologies evaluation
ML platforms evaluation
LLM orchestration
Agentic frameworks
Cloud AI services
Flexible architecture design
AI system design
Traditional engineering approaches
SLO/SLI establishment and tracking
AI observability tooling integration
CI/CD integration
Automated guardrails development
Policy enforcement
Cloud engineering
Security team collaboration
Stakeholder partnership
Technical requirement translation
Solution design translation
Communication of trade-offs
Communication of design decisions
Mentorship
Pattern sharing
Practice sharing
Lessons learned sharing
AI solution design maturity
Evaluation framework design
LLM model evaluation
ML model evaluation
Offline tests
Online tests
Benchmarks
Canaries
A/B experiments
AI use case onboarding
Observability platform integration
Cloud infrastructure scaling
Workload monitoring
End-to-end system design
API thinking
Operational design
AI/ML application patterns
LLM capabilities
LLM limitations
Prompt design
Orchestration approaches
Agent workflows
Latency
Quality
Cost
Safety
Reliability
Production AI systems
Observability challenges
RAG
Hallucinations
Provider variability
Python
Prototyping
Design validation
AWS architecture
Azure architecture
GCP architecture
Common service patterns
Enterprise constraints
Distributed systems
Microservices
Cloud-native architectures
Documentation
Decision influence
Stakeholder alignment
Solution architecture
Technical strategy
Software prototyping
Production deployment
LLM frameworks
LangChain
LlamaIndex
RAG concepts
Vector search concepts
Enterprise integration
DevOps principles
Platform Engineering principles
SRE principles
Operational excellence design
Enterprise service management
ServiceNow
ITSM
Security architecture
Compliance-oriented environments
Technical leadership
Architectural governance
Cross-team enablement

Location

US
Ontario, Canada

Work Type

Hybrid
Work from anywhere for up to 8 weeks per year

Experience Level

Lead
6+ years of experience with progression in solution architecture, technical strategy, or senior engineering roles
Experience building software prototypes and taking solutions to production in ambiguous, low-precedent environments
Experience with DevOps/Platform Engineering/SRE principles and designing for operational excellence
Demonstrated technical leadership through mentoring, architectural governance, or cross-team enablement

Salary/Compensations

For any eligible US locations, unless otherwise noted, the base compensation range for this role is $118,400 USD - $219,800 USD.
For Ontario, Canada, the base compensation range for this role is $140,600 CAD - $190,600 CAD.

Benefits

Hybrid Work Model
Flexibility & Work-Life Balance
Flex My Way policies
Work from anywhere for up to 8 weeks per year
Career Development and Growth
Grow My Way programming
Skills-first approach
Industry Competitive Benefits
Comprehensive benefit plans
Flexible vacation
Two company-wide Mental Health Days off
Access to the Headspace app
Retirement savings
Tuition reimbursement
Employee incentive programs
Resources for mental, physical, and financial wellbeing
Market competitive health, dental, vision, disability, and life insurance programs
Competitive 401k plan with company match
Market leading work life benefits
Competitive vacation, sick and safe paid time off
Paid holidays (including two company mental health days off)
Parental leave
Sabbatical leave
Optional hospital, accident and sickness insurance paid 100% by the employee
Optional life and AD&D insurance paid 100% by the employee
Flexible Spending and Health Savings Accounts
Fitness reimbursement
Access to Employee Assistance Program
Group Legal Identity Theft Protection benefit paid 100% by employee
Access to 529 Plan
Commuter benefits
Adoption & Surrogacy Assistance
Tuition Reimbursement
Access to Employee Stock Purchase Plan

About the Company

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions.
We serve professionals across legal, tax, accounting, compliance, government, and media.
Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency.
Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments.
At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them.
Join us and help shape the industries that move society forward.
More information about Thomson Reuters can be found on thomsonreuters.com

Equal Opportunity

As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals.
To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law.
Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law.
If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department at HR.Leave-Expert@thomsonreuters.com.
Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations.
Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations.
More information on requesting an accommodation here.
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