Associate Manager, AI & Agentic Engineering - AIOps/LLMOps Engineer

Help shape how enterprise AI runs in the real world. As an AIOps/LLMOps Engineer, you’ll build the automation, observability, and operational foundations that move generative AI solutions from promising prototypes to reliable production services on Microsoft Azure and Microsoft Foundry.

Come Join Us

You’ll work hands-on across AI applications, models, data, cloud infrastructure, and operations. You will partner with architects and engineering teams to create secure, scalable delivery patterns, improve reliability and cost, and continuously raise the quality of AI services. If your experience spans some, but not all, of these areas, we still encourage you to apply.

What you’ll do

• Build and operate reusable AIOps and LLMOps capabilities for enterprise AI solutions using Microsoft Foundry, Azure Machine Learning, and related Azure services.

• Automate the lifecycle of models, prompts, agents, retrieval components, datasets, evaluations, and deployment configurations.

• Create production automation using Python, PowerShell, Bash, C#, TypeScript, APIs, and infrastructure as code.

• Implement CI/CD, testing, environment promotion, approvals, rollback, versioning, and traceability through Azure DevOps and/or GitHub Actions.

• Establish observability for AI quality, reliability, performance, cost, safety, and business outcomes using tools such as Azure Monitor, Application Insights, OpenTelemetry, and MLflow.

• Diagnose production issues and improve service health through alerts, runbooks, incident response, capacity planning, resiliency, and cost optimization.

• Apply security, identity, data protection, responsible AI, content safety, auditability, and governance controls.

• Collaborate across AI, data, application, cloud, security, and service management teams to transition solutions into supportable production services.

Artificial Intelligence (AI), Automation, Prototyping, Microsoft Windows Azure, Artificial Intelligence (AI), Cloud Computing, Reliability Engineering, QoS (Quality of Service), Data Modeling, Machine Learning, * Minimum of 3+ years of experience in AI, Data, cloud engineering, platform engineering, DevOps, MLOps, or consulting roles.

• Minimum of 2+ years of hands-on experience deploying or operating AI/ML or generative AI solutions using Microsoft Foundry/Azure AI Foundry, Azure Machine Learning, or comparable platforms.

• Strong software development and automation skills in Python, PowerShell, Bash, C#, TypeScript, or a comparable language.

• Practical experience with DevOps, MLOps, site reliability engineering, cloud operations, or production application support.

• Working knowledge of AI lifecycle practices, including CI/CD, versioning, evaluation, observability, reliability, cost management, responsible AI, and incident response.

• Experience with Azure cloud services, APIs, Git, automated testing, infrastructure as code, application monitoring, identity, and secure cloud development.

About you

Professional Skills

• Highly organized with strong problem-solving and analytical capabilities

• Ability to collaborate effectively across diverse, matrixed teams and global environments

• Strong communication and interpersonal skills with the ability to build trust and credibility with stakeholders

• Demonstrated ability to operate both strategically and tactically, balancing big-picture thinking with technical execution

• Commitment to innovation, continuous learning, and delivering high-quality client outcomes

Preferred Qualifications

• Microsoft certification in Azure AI, Azure DevOps, Azure administration, or a related area

• Experience in management consulting and/or systems integration environments

• Experience with containers and cloud-native platforms such as Azure Kubernetes Service, Kubernetes, Docker, or Azure Container Apps

• Experience with AI evaluation, tracing, telemetry, content safety, responsible AI, and production support models

• Experience implementing infrastructure as code with Bicep, Terraform, ARM templates, or comparable technologies

• Strong communication, stakeholder management, and client-facing skills, with an interest in turning complex operational problems into scalable solutions Skills and experience

Compensation at Avanade varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Avanade provides a reasonable range of compensation for roles that may be hired as set forth below.

We anticipate this job posting will be posted until 12/31/2026.

Avanade offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.

California - $96,000 - $156,730

Cleveland - $96,000 - $136,000

Colorado - $96,000 - $147,000

District of Columbia - $110,200 - $156,730

Illinois - $96,000 - $147,000

Maine - $96,000 - $136,000

Maryland - $96,000- $156,730

Massachusetts - $110,200 - $156,730

Minnesota - $96,000 - $136,000

New York / New Jersey - $118,000 - $167,633

Virginia - $96,000 - $136,000

Washington - $96,000 - $156,730

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About Avanade

As you bring your skills and abilities to Avanade, you’ll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and communities. You’ll join a community of smart, supportive collaborators to lift, mentor, and guide you, and to lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It’s all here, so take a closer look!

Create a future for our people that focuses on

• Expanding your thinking * Experimenting courageously * Learning and pivoting

Inspire greatness in our people by

• Empowering every voice * Encouraging boldness * Celebrating progress

Accelerate the impact of our people by

• Amazing the client * Prioritizing what matters * Acting as one