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Added 1 min ago
M
Principal Software Engineer - AI Experiences, Monetization
Microsoft
WA · CA · Redmond, WA · Mountain View, CA · Redmond · Mountain View
- $142,800 to $304,200 USD / year
…improving engineering productivity. As a Principal Software Engineer, you will design and build solutions across every layer of the stack: backend services, APIs, data storage and…
Added 1 min ago
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Principal Software Engineer - Microsoft Advertising
Microsoft
WA · Redmond, WA · Redmond
- $142,800 to $304,200 USD / year
This Principal Software Engineer role owns core architectural and technical evolution of the platform, focusing on modernization, performance, scalability, experimentation infrastructure,…
Added 1 min ago
M
Principal Software Engineer-M365
Microsoft
WA · CA · Redmond, WA · Mountain View, CA · Redmond · Mountain View
- $142,800 to $304,200 USD / year
We are looking for a Principal Software Engineer who is passionate about security, technical challenges, debugging and, above all, customer success and satisfaction. Deep experience…
Added 1 min ago
M
Software Engineer II
Microsoft
WA · CA · NY · Redmond, WA · Mountain View, CA · Redmond · Mountain View · New York
- $102,100 to $219,200 USD / year
We are looking for a Software Engineer II to join the Special Projects and Resources Team (SPARTANs) in M365 Core – Substrate. SPARTANs take on strategic projects and difficult engineering…
Added 1 min ago
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Senior Principal Verification Engineer
Microsoft
NC · TX · Raleigh, NC · Austin, TX · Raleigh · Austin
- $165,600 to $331,200 USD / year
The Compute Silicon & Manufacturing Engineering (CSME) organization within SCHIE is responsible for design, development, manufacturing and packaging of Microsoft's state-of-the-art computer…
Added 2 mins ago
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Software Engineer - CTJ - Top Secret
Microsoft
VA · Reston, VA · Reston
- $85,400 to $183,700 USD / year
…sensitive and mission‑critical environments? As a Software Engineer in Microsoft’s Specialized Cloud team, you’ll help design, deliver, and secure highly reliable services that underpin…
Added 2 mins ago
M
Principal Software Engineer
Microsoft
United States
- $142,800 to $304,200 USD / year
The Azure Event Grid engineering team is seeking a talented and highly motivated Principal Software Engineer to lead the design and implementation of the next generation of PubSub…
Added 2 mins ago
M
Critical Environment Technician Manager
Microsoft
NC · Charlotte, NC · Charlotte
- $75,400 to $185,300 USD / year
With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands…
Added 2 mins ago
M
Critical Environment Electrical Engineer
Microsoft
TX · San Antonio, TX · San Antonio
- $102,100 to $219,200 USD / year
…every day and we need you as a Critical Environment Electrical…
Added 2 mins ago
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Senior Software Engineer
Microsoft
WA · Redmond, WA · Redmond
- $119,800 to $261,000 USD / year
As a Staff Engineer - AI Infrastructure Reliability in the AI Infrastructure Engineering Systems team, you will design, implement, and ensure the reliability and quality of engineering…
Added 2 mins ago
M
Senior Software Engineering
Microsoft
United States
- $119,800 to $261,000 USD / year
As a Senior Software Engineer, you will bring strong software design and engineering expertise, building reliable systems and production-ready services that turn ideas and data-driven…
Added 2 mins ago
M
Senior Hardware Engineer
Microsoft
CA · NC · OR · Mountain View, CA · Raleigh, NC · Hillsboro, OR · Mountain View · Raleigh · Hillsboro
- $119,800 to $261,000 USD / year
We are looking for a Senior PD CAD Equivalency Engineer to own and evolve our formal equivalency flows, working with design teams and EDA vendors to deliver reliable, high-quality…
Added 3 mins ago
M
Senior AI Engineer
Microsoft
WA · Redmond, WA · Redmond
- $119,800 to $261,000 USD / year
…organizational context, and complete complex workflows. As a Senior AI Engineer on the Microsoft Office AI team, you will bring these experiences to hundreds of millions of…
Added 3 mins ago
M
Principal Software Engineer
Microsoft
WA · Redmond, WA · Redmond
- $142,800 to $304,200 USD / year
…and Engineering Direct Team is seeking a Principal Software Engineer to own the architecture for secure, enterprise-scale platforms spanning supportability, customer-centric engineering,…
Added 3 mins ago
M
Principal Design Engineer
Microsoft
NC · CA · Raleigh, NC · Mountain View, CA · Raleigh · Mountain View
- $142,800 to $304,200 USD / year
We are looking for a Principal Design Engineer to join the team.
Added 3 mins ago
M
Senior Software Engineer, Foundry IQ - CoreAI
Microsoft
WA · CA · Redmond, WA · Mountain View, CA · Redmond · Mountain View
- $119,800 to $261,000 USD / year
As a Senior Software Engineer, you will build infrastructure that protects customer data and keeps search services reliable. You will own features through design, coding, testing,…
Added 3 mins ago
M
Principal Software Engineering Manager
Microsoft
WA · Redmond, WA · Redmond
- $142,800 to $304,200 USD / year
We are looking for an experienced Principal Software Engineer Manager to lead Email Semantic Indexing that support Outlook search and Microsoft 365 Copilot, integrating Responsible AI…
Added 6 mins ago
TT
Lead Product Engineer
True Talent Solutions Partners
New York, NY
- $225,000 to $275,000 USD / year
…real estate investment business. As the first product-focused engineer, you will own the frontend and create data-rich tools that help teams make better investment…
Added 15 mins ago
G
Controls Engineer
GPAC
West Allis, WI
- $90,000 to $125,000 USD / year
Controls Engineer | Build It. Program It. Make It Work.
Added 15 mins ago
In Vehicle Test Engineer, Steering, Vehicle Software
Telsa Motors, Inc
Zanesfield, OH
…Self-Driving. We are seeking a Steering Controls Vehicle Test Engineer to shape the future of steering technology that makes Cybercab and unsupervised Full Self-Driving possible. You will…
Added 15 mins ago
Project Engineer
Ramco Electric Motors, Inc.
Greenville, OH
…Product Introduction (NPI ): Lead products from concept or design freeze through pilot builds, validation, manufacturing readiness, and launch. Familiarity with Design for Manufacturability…
Added 15 mins ago
CNC Programmer
Numalliance - North America, Inc.
Lebanon, OH
…North America, Inc. is a multi-national company involved in the design and manufacture of capital equipment and related tooling. Our goal is to provide our customers with leading edge…
Added 15 mins ago
Process Engineer - Aurora, Ohio
Pyrotek Inc.
Aurora, OH
…processes. Improve performance. Make an impact. Are you an engineer who enjoys solving complex manufacturing challenges, improving production processes, and turning ideas into measurable…
Added 15 mins ago
Engineer I, Electrical & Electronics Engineering
Vertiv Corporation
Lorain, OH
Job Description Job Summary: The Electrical Engineer, DC Power develops the electrical content within technical customer proposals for Vertiv's Modular Power Converters product line. This…
Added 16 mins ago
Senior Application Development Engineer - Semiconductor Thermal Management & Hea
Momentive Performance Materials Quartz, Inc.
Strongsville, OH
About Momentive Technologies Momentive Technologies applies advanced materials science to design and manufacture ultra-high-performance quartz materials, quartz crucibles, and ceramic…

Deloitte US

Applied AI Platform Engineer III

Dallas, TX, United States
Hermitage, TN, United States
Jersey City, NJ, United States
Morristown, NJ, United States
Nashville, TN, United States
NY, United States

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Job details

Apply by: Dec 20, 2026
Posting language: English
Posted: Oct 16, 2026

Original job description

Role Overview: As an Applied AI Platform Engineer III, you will actively engage in your engineering craft, taking a hands-on approach to building the platforms, tooling, accelerators, and frameworks that other engineering teams build on. Your expertise will be pivotal in delivering platform capabilities that delight the engineers who depend on them, while driving tangible leverage and value across Deloitte’s AI engineering investments. You will leverage your extensive engineering craftsmanship across platform engineering, distributed systems, and modern AI/ML and Data infrastructure, consistently demonstrating your strong track record in delivering high-quality, reusable, outcome-focused solutions. The ideal candidate will be a dependable team player, collaborating with cross-functional teams to design, build, and operate the enabling layer for AI engineering at scale.

Key Responsibilities:

Outcome-Driven Accountability: Embrace and drive a culture of accountability for engineering-leverage and adoption outcomes. Build platform capabilities that solve recurring problems once, well, for many teams - reducing per-team build and operate toil while ensuring consistency and compliance by default through high-quality, lean designs and implementations.
Technical Leadership and Advocacy: Serve as the technical advocate for the platform as a product, ensuring capability integrity, feasibility, and alignment with the needs of the engineering teams who consume it. Lead requirement discovery with consuming teams, component design of platform services, frameworks, and the AI control plane, and their development, testing, integration, and support.
Engineering Craftsmanship: Maintain accountability for the integrity of the platform architecture and for the enterprise tech-stack conformance baseline that engineering teams build against. Manage platform dependencies, code design, implementation, the data and policy-as-code enforcement layers, and the OpenTelemetry-based instrumentation substrate - building capabilities that are operable, instrumented, performant, and drift-resistant by design, to the production standards set by SRE. Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks. Create technical specifications, codify recurring patterns into reusable components and golden paths, and write high-quality, supportable, scalable code to ensure all platform KPIs (adoption, reliability-by-design, and developer experience) are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams.
Customer-Centric Engineering: Develop lean platform capabilities through rapid, inexpensive experimentation to solve the real needs of consuming engineering teams. Engage with those teams before, during, and after delivery to ensure the right capability is delivered at the right time - and adopted, not shelved.
Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering platform capabilities as lean, adoption-validated increments rather than big-bang builds, and keeping them supportable and maintainable.
Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional partners: engineering, SRE, security and risk, data governance, and engineering leadership and architecture. Integrate their constraints into the paved roads so that the secure, compliant, and reliable path is the easy path. Deliver capabilities that are admissible-by-design and submit them for admission, co-defining service-level objectives with SRE, who set production standards and own the admission decision. Foster a collaborative environment that enhances team synergy and innovation.
Advanced Technical Proficiency: Possess expertise in platform engineering and modern AI/ML infrastructure - internal developer platforms, MLOps/LLMOps, model serving, retrieval and vector infrastructure, eval and observability tooling, policy-as-code, container orchestration, IaC, and CI/CD at platform scale - including AI and Agentic SSDLC to deliver self-service, governed capabilities with full automation from discovery to production to operations and all quality checks through the SSDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize platform solutioning and delivery. Demonstrate strong understanding of the full lifecycle of platform and product development, focusing on continuous improvement and learning.
Domain Expertise: Quickly acquire domain knowledge of the enterprise data estate and the AI use-case patterns the platform must serve. Translate the needs of engineering teams, reference architectures, and governance requirements into reusable frameworks, the data platform, and governance-as-code enforcement. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff.
Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives.
Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions.

The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.

The successful candidate will possess:

Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.

Required Qualifications:

A bachelor’s degree in computer science, software engineering, data science, machine learning, or related discipline. Experience is the most relevant factor.
5+ years of software and platform engineering experience with most of the following: Angular, React, NodeJS, Python(Mandatory), C#, .NET, Java, Rust, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, LangSmith, LangFuse, Terraform, as well as unit, integration, and end-to-end testing frameworks & tools, specifically BDD, Gherkin, Cucumber, Playwright, and Selenium.
3+ years of experience designing, building, and operating AI/ML platform or infrastructure, with hands-on experience across building tooling for MLOps/LLMOps, model serving, retrieval and vector infrastructure, and eval/observability instrumentation for LLM integration (OpenAI, Anthropic, or open-source models).
3+ years of experience with cloud-native engineering on any of the cloud hyperscalers such as Azure, AWS, or GCP - including their AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI - as well as container orchestration (Kubernetes, Docker), Big Data, Databricks, CI/CD at platform scale, and distributed systems.
Prior experience with AI control-plane and agent-runtime patterns: model/LLM gateway, A2A and MCP integration, agent runtimes (e.g., Google ADK, Amazon Bedrock AgentCore), guardrails (PII redaction, prompt-injection, content, tool permissioning/tool-RBAC), policy-as-code, and multi-tenant isolation.
Prior experience with enterprise data platform engineering: data pipelines, self-service and data-product enablement, governance-as-code enforcement, and metadata/lineage.
Prior software engineering experience with the understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations, and AI-augmented spec-driven development.
Prior experience using methodologies & tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, and ArgoCD to deliver high-quality platforms and products rapidly
Ability to travel 10%, on average, based on the work you do and products you build.
Limited immigration sponsorship may be available.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 - $210,600. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. EA_ExpHire EA_ITS_ExpHire PXE_JOBS

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Skills

ML
Regulatory compliance
Leadership
Collaboration
CI/CD
Statistical quality control
Process improvement
Communication skills
Organizational skills
Computer science
Machine learning
React
Python
C#
.NET
Oracle Java
Rust
SQL
NoSQL
PyTorch
TensorFlow
LangChain
IBM Terraform
Microsoft Azure
AWS
Google Cloud
Kubernetes
Docker
Databricks
Object-oriented programming
GitHub
SonarQube

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