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Principal Applied AI Engineer

Microsoft Redmond, WA

Redmond, WA

Today

$143k - $304k/yr Full time Senior Agentic Ai Ai Agent

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Job Description

The Principal Applied AI Engineer role is a hands-on technical architecture position focused on building production agentic AI services for Azure customer support at scale. You will own end-to-end technical delivery, including evaluation, security, reliability, and measurable impact for AI-first resolution systems.

Location

Redmond, WA (onsite)

Salary

USD 142,800 - 304,200 per yearly

Software Engineering IC5 typical base pay range across the U.S.: USD $142,800 - $274,800 per year.

A different range applies to specific work locations, including the San Francisco Bay Area and New York City Metroplit: USD $188,000 - $304,200 per year.

Responsibilities

Architect and build production agentic AI systems, including LLM orchestration, multi-agent workflows, RAG pipelines, tool integrations, memory and state management, and human-in-the-loop experiences.
Lead through hands-on engineering by writing, reviewing, and maintaining production-quality C# and Python code, including critical components, reference implementations, prototypes, and reusable platform capabilities.
Own end-to-end technical delivery by translating ambiguous customer support scenarios into clear technical requirements and driving solutions from architecture and experimentation through implementation, deployment, operation, and continuous improvement.
Define technical architecture and engineering standards, including architecture patterns, API and data contracts, code quality expectations, evaluation practices, deployment strategies, and observability standards for AI services.
Advance evaluation-driven AI development by designing and implementing evaluation frameworks using rubrics, golden datasets, simulation, judge models, and offline and online evaluation, including quality thresholds and graduation criteria for autonomous operation.
Own production quality and reliability across correctness, availability, latency, scalability, cost, and safety, and lead technical incident response, root cause analysis, and systemic improvements.
Design for responsible and secure AI, including privacy protections, prompt-injection defenses, tool authorization, data boundaries, action controls, auditability, and fail-safe behavior.
Make consequential technical decisions by evaluating models, frameworks, platforms, and architectural approaches using evidence from experiments and production telemetry, balancing quality with reliability, maintainability, latency, cost, and operational complexity.
Influence product and platform roadmaps through collaboration with product managers, researchers, platform engineers, and Azure service teams, and by translating customer support patterns and operational signals into engineering investments.
Drive measurable customer and business impact by instrumenting systems and using data to improve automation accuracy, case volume reduction, resolution time, engineering efficiency, and customer satisfaction.
Provide technical leadership by leading architecture reviews, resolving complex technical disagreements, and aligning engineers and partner organizations around shared designs, with clear communication to technical and non-technical stakeholders.
Raise organizational engineering capability by mentoring engineers in system design, software engineering, applied AI, and evaluation-driven development, including guidance on when AI agents should act autonomously.

Required Qualifications

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Ability to meet Microsoft, customer and/or government security screening requirements.
Microsoft Cloud Background Check: required to pass upon hire/transfer and every two years thereafter.

Technologies

C, C++, C#, Java, JavaScript, Python
LLM orchestration, multi-agent workflows, RAG
Rubrics, golden datasets, simulation, judge models
Offline and online evaluation
Prompt-injection defenses

Preferred Qualifications

15 years of professional software engineering and enterprise architecture experience designing, building, integrating, and operating complex production software systems at enterprise scale.
Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience (or) Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience, with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Deep hands-on software development background combined with enterprise architecture expertise, with experience translating business and technical requirements into scalable, resilient, maintainable system architectures.
Proficiency in C# and/or Python, with demonstrated ability to design and implement production-quality services and distributed systems.
Experience with applied AI systems, including LLM-based applications, prompt engineering, RAG architectures, agent frameworks, or machine learning services.
Experience with cloud platforms, preferably Azure, and cloud-native engineering practices including microservices, APIs, containers, CI/CD, infrastructure as code, and observability.
Proven ability to influence technical direction and align multiple teams without direct management authority.
Experience implementing agent security patterns such as prompt-injection defense, identity propagation, least-privilege tool access, data-boundary enforcement, approval gates, and auditable actions.
Demonstrated ability to move between strategic architecture and detailed implementation, including debugging complex interactions across models, prompts, tools, data, and distributed services.
Proven business acumen connecting technical investments to measurable customer outcomes such as case volume reduction, resolution time, automation quality, and customer satisfaction.
Track record of mentoring senior engineers and raising engineering standards across teams without formal people management responsibilities.
Background in customer support engineering, supportability, diagnostics, or customer experience platforms is a plus.

Additional Information

Some roles may be eligible for benefits and other compensation. More information: https://careers.microsoft.com/us/en/us-corporate-pay.
Applications will be accepted on an ongoing basis until the position is filled, with the role open for a minimum of 5 days.

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