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Thomson Reuters · 1 week ago

Staff Software Engineer – AI (DevOps)

United States of America, Eagan, Minnesota

Full-time

Hybrid

Lead/Staff

$147K/yr - $273K/yr

8+ years exp

Thomson Reuters is a leading provider of trusted journalism and technology solutions, and they are seeking a Staff Software Engineer – AI (DevOps) to architect and implement AI-driven solutions while collaborating with product and engineering teams. The role involves optimizing systems for security and performance, implementing AI/ML Ops practices, and supporting critical business applications in cloud environments.

AdviceAnalyticsFinancial ServicesManagement ConsultingProfessional ServicesRisk ManagementSoftware

H1B Sponsor Likely

Responsibilities

Architect and implement AI‑driven solutions using agentic AI patterns, including MCP server architectures, orchestration workflows, and agentic pipelines

Design and operate scalable, secure, and cost‑efficient AI platforms on cloud infrastructure (Azure and/or AWS) with Kubernetes as the primary runtime

Integrate LLMs, vector search, and retrieval‑augmented generation (RAG) patterns using services such as Azure AI Foundry and Azure AI Search

Define and implement AI/ML Ops practices for model and pipeline lifecycle, including versioning, monitoring, evaluation, and governance

Plan, deploy, and maintain critical business applications and AI services in production and non‑production cloud environments (Azure / AWS)

Design and implement appropriate environments for those applications and services; engineer robust release management procedures and provide production support

Build and maintain CI/CD pipelines using MCPS tooling (e.g., Azure DevOps, Jenkins, GitHub Actions), including automation for building, testing, scanning, and deploying AI and non‑AI workloads

Design and maintain infrastructure‑as‑code (e.g., Terraform, Bicep, Ansible) for cloud, Kubernetes, networking, and platform services

Develop and maintain agentic workflows that orchestrate tools, services, and data sources to support complex business processes

Use AI tools within the development lifecycle (e.g., AI‑assisted code generation, GitHub Actions AI features, AI‑driven test generation and triage) to increase velocity while maintaining quality and compliance

Collaborate with product and engineering teams to identify opportunities for AI automation in build, test, deployment, and operations workflows

Drive improvements to processes and design enhancements to automation to continuously improve production environments (reliability, observability, performance, cost)

Perform daily system monitoring, verifying integrity and availability of services, reviewing system and application logs, and verifying completion of scheduled and automated tasks

Perform ongoing performance tuning, infrastructure upgrades, and resource optimization as required

Provide Tier II/Tier III support for incidents and requests from various constituencies; lead technical recovery for high‑severity incidents impacting AI platforms and services

Establish and maintain monitoring, alerting, SLOs, and dashboards for AI services; contribute to disaster recovery planning and testing to ensure business continuity

Partner with security and compliance teams to ensure AI platforms and pipelines meet TR security, privacy, and governance standards, including access controls, data protection, and auditability

Provide leadership, technical support, user support, technical orientation, and technical education activities to project teams and staff across multiple locations

Influence broader technology groups in adopting cloud, Kubernetes, and AI technologies, processes, and best practices

Mentor and coach engineers (Dev, QA, DevOps, Data/ML) in modern DevOps, AI/ML Ops, and platform practices

Maintain and contribute to our knowledge base and documentation, including runbooks, design docs, and standards

Participate in and often lead technical design reviews, architecture decisions, and cross‑team initiatives

Qualification

AI-driven solutionsCloud platforms (Azure/AWS)KubernetesCI/CD pipelinesAI/ML OpsInfrastructure as CodePythonGitOpsMonitoring toolsCommunication skillsCollaboration skillsMentoring

Required

8+ years of overall software engineering / DevOps / platform engineering experience, including

3+ years in a Lead-level DevOps / Platform / SRE capacity, and

2+ years supporting AI-driven solutions at enterprise scale

Strong experience designing and operating solutions on cloud platforms (Azure and/or AWS), including:

Core services such as compute, storage, networking, identity, and managed databases (e.g., RDS or Azure SQL), and

Experience with services such as S3/CloudFront/CloudFormation or Azure equivalents where applicable

Hands-on expertise with Kubernetes and containerization (Docker), including building and deploying containerized workloads at scale; experience with managed Kubernetes (e.g., AWS EKS and/or Azure AKS)

Deep knowledge and hands-on experience with CI/CD and MCPS tools, including at least two of: Azure DevOps (ADO), Jenkins, GitHub Actions, with a track record of planning, building, and deploying cloud-based solutions

Experience implementing and supporting MCP server architectures, orchestration workflows, and agentic pipelines in production environments

Demonstrated experience with AI/ML Ops concepts and tooling (e.g., model/pipeline versioning, evaluation, monitoring, rollout/rollback strategies)

Strong scripting and programming skills, preferably in Python, Bash, and/or PowerShell; ability to build automation, tools, and integrations

Practical experience with Infrastructure as Code (e.g., Terraform, Bicep, Ansible) for provisioning and managing cloud and Kubernetes resources

Experience with Azure AI Foundry and Azure AI Search, or similar AI platform and vector search technologies

Solid understanding of Git, branching strategies, and GitOps principles and tools

Proven experience owning and operating continuous delivery / continuous deployment pipelines and production services, including monitoring, alerting, and incident response

Strong communication and collaboration skills, with experience influencing across teams and mentoring other engineers

Preferred

Experience building and deploying .NET Core and/or Java-based solutions in cloud and Kubernetes environments

Strong understanding of API-first design and implementation, including secure, scalable APIs that integrate AI capabilities

Experience implementing comprehensive testing strategies (unit, integration, performance, chaos, and/or evaluation loops for AI systems) in a continuous deployment environment

Prior experience setting up monitoring tools (e.g., Prometheus, Grafana, CloudWatch, Azure Monitor, OpenTelemetry) and disaster recovery plans to ensure business continuity

Exposure to data and ML tooling (e.g., feature stores, experiment tracking, model registries) and how they integrate with CI/CD and production platforms

Experience working in regulated or compliance-sensitive environments (e.g., legal, tax, financial services) with attention to data protection and governance

Benefits

Hybrid Work Model

Flexibility & Work-Life Balance

Career Development and Growth

Industry Competitive Benefits

Culture

Social Impact

Making a Real-World Impact

Market competitive health, dental, vision, disability, and life insurance programs

Competitive 401k plan with company match

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

Company

Thomson Reuters

Glassdoor3.0

Thomson Reuters delivers critical information from the financial, legal, accounting, intellectual property, science, and media markets.

Founded in 2008

Toronto, Ontario, CAN

10001+ employees

http://thomsonreuters.com

H1B Sponsorship

Thomson Reuters has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (13)

2024 (12)

2023 (5)