Senior Enterprise Software Engineer -AI Operations

We are seeking an exceptional Senior AI Engineer with 6-8 years of experience to architect and deliver enterprise-grade AI systems at scale, with primary focus on Amazon Bedrock and Microsoft Azure AI Foundry -- the two leading managed cloud AI platforms. This is a staff-level individual contributor position for engineers who can drive technical strategy, mentor cross-functional teams, and translate the latest advances in generative AI into high-impact production systems.

You will operate as a principal builder and technical authority across our most ambitious AI initiatives: multi-agent orchestration pipelines, RAG-powered knowledge systems, LLM fine-tuning workflows, and cloud-native AI infrastructure. You will own decisions that reach millions of users and set the engineering benchmark for AI excellence across the organization.

This role intentionally avoids SageMaker-centric workflows in favor of the latest serverless and managed AI services -- Amazon Bedrock AgentCore, Amazon Nova, Amazon S3 Vectors, Microsoft Foundry, and Azure AI Agent Service -- enabling faster iteration, lower infrastructure overhead, and access to frontier models.

Technical Leadership & AI Architecture

• Own end-to-end architecture of cloud-native AI systems on AWS and Azure, from raw data ingestion through LLM serving, evaluation, and continuous monitoring.
• Establish AI engineering standards, model governance frameworks, and cloud design patterns adopted across multiple product teams.
• Lead critical cross-platform design decisions: when to use AWS Bedrock vs. Azure AI Foundry, which foundation model best fits performance and cost constraints, and when to fine-tune vs. prompt-engineer.
• Evaluate and rapidly prototype with emerging AWS and Azure AI capabilities (Amazon Nova 2, Bedrock Reinforcement Fine-Tuning, Azure GPT-5-Codex, Foundry Agent Service) to keep the organization at the frontier.
• Drive technical design reviews, architecture critiques, and risk assessments for high-stakes AI deployments.

AWS Amazon Bedrock & Generative AI Engineering

• Architect enterprise applications using Amazon Bedrock as the primary LLM serving and orchestration platform -- leveraging the full model catalog including Amazon Nova 2 (Lite, Pro, Sonic, Omni), Anthropic Claude, Mistral Large 3, and Amazon Bedrock Marketplace models.
• Build production multi-agent systems using Amazon Bedrock AgentCore: design agent boundaries with Policy controls, implement episodic Memory for long-horizon reasoning, and configure AgentCore Gateway for secure tool integrations with Salesforce, Slack, and internal APIs.
• Implement browser-based workflow automation agents with Amazon Nova Act, achieving 90%+ task reliability for form filling, data extraction, QA testing, and enterprise UI automation workflows.
• Design and deploy RAG pipelines using Amazon Bedrock Knowledge Bases with Amazon S3 Vectors as the primary vector store -- supporting up to 2 billion vectors per index with 100ms query latencies at up to 90% lower cost than specialized vector databases.
• Apply Amazon Bedrock Reinforcement Fine-Tuning for domain-specific model customization, achieving up to 66% accuracy gains over base models without requiring labeled datasets or deep ML expertise.
• Leverage Amazon Bedrock Model Distillation to create task-specific models that run up to 500% faster and cost 75% less, with minimal accuracy trade-off.
• Implement Amazon Bedrock Intelligent Prompt Routing and Prompt Caching to reduce inference costs by up to 30% while maintaining response quality.
• Apply Amazon Bedrock Guardrails for responsible AI enforcement: content filtering, hallucination prevention, PII redaction, and compliance controls across all production LLM endpoints.
• Develop and manage Kiro-based agentic development workflows: context-aware, session-persistent autonomous agents for coding and operational task automation.

AZURE Microsoft Foundry & Azure AI Engineering

• Build and deploy intelligent applications on Microsoft Foundry (formerly Azure AI Studio), the unified platform for model access, fine-tuning, evaluation, and agent deployment at enterprise scale.
• Integrate and orchestrate frontier models through Foundry Models: Azure OpenAI GPT-4.1 (1M token context), o3 / o4-mini reasoning models, GPT-5-Codex for multimodal code reasoning, Anthropic Claude (Sonnet 4.5, Opus 4.1), and Mistral Large 3.
• Design and operate multi-agent systems using Microsoft Agent Framework (Semantic Kernel + AutoGen runtime), building stateful long-running agents deployed via Hosted Agents and published to Microsoft 365 Copilot with one-click.
• Build agentic workflows with Azure AI Agent Service, connecting agents to enterprise data via Azure AI Search (RAG), line-of-business APIs through Azure API Management, and real-time data through Azure Event Hubs.
• Leverage Microsoft Foundry Control Plane for fleet-wide agent observability, governance, policy enforcement, and compliance auditing across all deployed AI agents.
• Implement Deep Research agents in Microsoft Foundry Agent Service as composable, programmable research engines embedded in multi-agent workflows and enterprise applications.
• Use Foundry Tools (unified suite of prebuilt AI capabilities for audio, video, image, document, and text) to accelerate development of intelligent agents without rebuilding common AI tasks.
• Apply Azure AI Foundry Model Router to dynamically route prompts to the optimal model (GPT-4.1, o4-mini, Phi-4) at runtime, minimizing costs while preserving quality SLAs.
• Configure NSP-protected private deployments using VNETs, private endpoints, and BYO Key Vault connections for regulated-industry AI workloads on Foundry.

Cross-Platform Infrastructure & MLOps

• Architect AWS-native training infrastructure using EC2 Trainium3 UltraServers (Trn3) -- AWS's 3nm AI chip delivering 4x performance over Trn2 -- for large-scale model training and inference at lower cost.
• Build and manage containerized model serving on Amazon EKS with Karpenter autoscaling, integrated with Triton Inference Server for multi-model, multi-framework inference optimization.
• Implement fully serverless inference using AWS Lambda Managed Instances for on-demand LLM endpoint invocations without infrastructure provisioning.
• Establish IaC-driven ML platform provisioning using AWS CDK (Python) and Azure Bicep/Terraform, ensuring all AI environments are version-controlled, reproducible, and auditable.
• Design cross-cloud observability stacks: Amazon CloudWatch + AWS X-Ray on AWS; Azure Monitor + Application Insights on Azure -- with unified dashboards for model drift detection, latency SLOs, and cost alerting.
• Implement MLflow (serverless via SageMaker AI integration or self-hosted on EKS) for experiment tracking, model versioning, and lifecycle management across both AWS and Azure workloads.
• Champion cloud cost optimization: AWS Spot instance strategies and Bedrock Intelligent Prompt Routing for AWS workloads; Azure Developer Training tier and Serverless API pay-as-you-go for Azure workloads.

Evaluation, Safety & Responsible AI

• Define and own the organization's AI evaluation framework -- automated pipelines measuring model accuracy, fairness, bias, toxicity, hallucination rate, and safety across both AWS Bedrock and Azure Foundry deployments.
• Lead red-teaming, adversarial robustness testing, and jailbreak analysis using Amazon Bedrock Guardrails and Azure AI Content Safety before every production launch.
• Establish model risk management: model cards, prompt audit trails, production monitoring dashboards, and incident response runbooks for AI systems.
• Collaborate with Legal, Compliance, and the AI Ethics board to meet regulatory requirements (EU AI Act, NIST AI RMF, ISO 42001, SOC 2 Type II).

Mentorship & Organizational Influence

• Serve as principal technical mentor for mid and junior AI engineers: conducting code reviews, architecture design sessions, and cloud platform enablement workshops.
• Represent the team at executive forums, customer briefings, and external AI conferences.
• Partner with Product, Research, Data Science, and Platform Engineering to align AI roadmap with business objectives and cloud investment strategy.
• Drive org-wide knowledge sharing via internal tech talks, open-source contributions, technical blog posts, and AWS/Azure certification mentorship programs.
• Lead technical hiring: define role requirements, design AI cloud-focused interview loops, and make recommendations for senior and staff-level candidates.

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Be the Difference

If making a difference matters to you, then you matter to us.

Join us, at Wolters Kluwer, and be part of a dynamic global technology company that makes a difference every day.

We’re innovators with impact. We provide expert software and information solutions that the world’s leading professionals rely on, in the moments that matter most. You’ll make a real difference in the lives of millions of people. Together with our customers, we help to advance sustainability, health, justice, prosperity, and commerce around the world.

You can thrive at Wolters Kluwer, where diversity is core to our collective strength and high performance. Be your unique self, share your creative ideas, do your best work, and take time to grow in our caring and inclusive culture where you can belong.

About Wolters Kluwer

Wolters Kluwer reported 2025 annual revenues of €6.1 billion. The group serves customers in over 180 countries, maintains operations in over 40 countries, and employs more than 21,000 people worldwide. ​

​

Our customers work in industries that impact the lives of millions of people every single day. Our mission is to empower our professional customers with the AI-powered solutions they need to make critical decisions, achieve successful outcomes, and increase productivity. ​

​

We deliver trusted, AI-powered expert solutions that combine deep domain knowledge, proprietary content, and advanced technology to provide expert-validated insights, automate workflows, and drive better outcomes. Today, nearly 70% of our digital revenues come from AI-powered solutions, reflecting our strategic focus on embedding AI into professional workflows and delivering measurable productivity gains. ​

​

We are committed to helping professionals navigate complexity, improve the way they work, and solve critical challenges through cloud-based, AI-powered platforms that integrate seamlessly into their workflows and ecosystems. Our solutions are designed to deliver impact when it matters most, especially in high-stakes environments where accuracy and trust are essential. ​

​

With a nearly 190-year legacy, Wolters Kluwer continues to evolve its portfolio of digital solutions and services to meet the changing needs of professionals worldwide, enabling them to work faster, make smarter decisions, and deliver better outcomes.​

​

For more information about our solutions and organization, visit www.wolterskluwer.com, or follow us on LinkedIn, Instagram and Facebook.

Tips & Tricks - Resumes

Wolters Kluwer has a dedicated team of experienced talent acquisition professionals who are ready to hear what makes you tick and share how Wolters Kluwer can help you achieve your goals and ambitions. Here Rasi Fawaz shares some tips on what recruiters are looking for on a resume.

Building Diverse Teams

As a global organization, we recognize that solving a wide range of complex problems requires diverse perspectives and innovative thinking. We know that bringing our best to our customers, communities, and other key stakeholders requires a highly engaged and talented workforce – one that represents the diversity of those we serve and the communities where we live and work.

We aim to provide a welcoming environment and equitable opportunities for all employees regardless of background, nationality, race, ethnicity, gender, gender identity, age, sexual orientation, marital status, disability, or religion.

This principle is ingrained in our company values and articulated in our Code of Business Ethics.

Our Global Well-being Program

At Wolters Kluwer, you’ll feel valued for your contributions, and you’ll know that your health, safety, and well-being are important to us. Our well-being benefits provide tools, programs, and resources to help our diverse employees feel healthy, happy, safe, and prosperous.​

​

Our global Together we thrive well-being program reflects our commitment to supporting colleagues across physical, mental, social, and financial well-being. That commitment has been recognized externally through Ragan’s Top Places to Work for Employee Wellbeing: Large Organization in 2024. ​

​

More recently, Wolters Kluwer was recognized by Forbes as one of America’s Best Large Employers 2026 and America’s Best Employers for Engineers 2026. In 2025, Wolters Kluwer was also recognized by Forbes as one of America’s Best Employers for Women.

Equal Opportunity Employer

To ensure we continue to drive innovation that enables us to develop products and services to best serve our customers, we cultivate a workplace culture rooted in mutual respect, bringing forward insights from a wide range of backgrounds, perspectives, and experiences. We are also committed to complying with laws requiring equal opportunity in hiring, promotion, and other employment decisions.

All qualified applicants will receive consideration without regard to race, color, religion, sex (including pregnancy, gender identity, transgender status, and sexual orientation), national origin, disability, age, genetic information, veteran status, or any other characteristic protected by applicable law, and we do not tolerate discrimination on any of these bases.

GDPR