Jobs in the United States

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Added 4 mins ago
OS
Software Engineer
Odyssey Systems Cons
Colorado Springs, CO
- $31,533 USD / year
Maintain and extend the mission data serialization layer: add new asset types, task attributes, and output fields while preserving backward compatibility with existing save files
Added 45 mins ago
Data Center Hardware Engineering - Hardware Technician
Apple
Austin, TX
…infrastructure that powers our most ambitious technologies. The Data Center Hardware Engineering Team designs and delivers the high-performance compute solutions that underpin Apple's…
Added 47 mins ago
Senior Analytics Engineer (Finance & Operations)
Skylight
Remote, United States
We are expanding our Data team and are in need of a rigorous Senior Analytics Engineer to partner closely with our Finance and Operations teams. This role will own the Finance/Operations…
Added 4 hours ago
Analytics Engineer
Benchmark Utility Services
Remote, United States
The Analytics Engineer builds and supports the reporting, data preparation, and business solutions layer of the technology environments NextEra delivers to its clients. This role turns…
Added 4 hours ago
AM
2026-2027 Process Engineer Co-op - Doctorate (Gloucester, MA)
Applied Materials
Gloucester, MA
- $47 to $50 USD / hour
Design and execute experiments using Design of Experiments (DOE) methodologies and analyze data using advanced data analytics tools (Python, MATLAB & JMP).
Added 6 hours ago
AI Operations Administrator - Gravitee - Remote US
SitusAMC
Jefferson City, MO
…operation of SitusAMC's enterprise AI tools and the API management layer that connects and governs them. The role centers on Gravitee, the API management and gateway platform through which…
Added 7 hours 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 7 hours 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 9 hours ago
AC
Staff / Principal Platform Engineer
AppGate Cybersecurity, Inc.
Remote, United States
- $185,000 to $270,000 USD / year
…of AppGate’s AI strategy. This team owns the infrastructure layer that every next-generation security capability is built on, from network observability to AI-driven threat detection and…
Added 9 hours ago
Senior Storage Engineer
Runware
Remote, United States
As Senior Storage Engineer, you will own the storage architecture of Runware's AI supercomputer: how model weights, caches and customer data move from object storage on two continents to…
Added 9 hours ago
Senior Security Engineer
Runware
Remote, United States
Every one of those pods holds customer models, customer data and millions of dollars of GPUs, sometimes inside a customer's own perimeter or a sovereign jurisdiction. Keeping all of it…
Added 11 hours ago
TT
Senior Software Engineer, Autonomous Systems
True Talent Solutions Partners
Palo Alto, CA
- $145,000 to $275,000 USD / year
- Design, implement, and optimize backend and service-layer software for mission-critical autonomous systems.
Added 12 hours ago
Lead Network Engineer 1 - Nuclear
Sargent & Lundy
Warrenville, IL
Identify, troubleshoot, and resolve complex physical, data link, and network layer issues across legacy and modern OT equipment.
Added 13 hours ago
Senior Data Engineer, Network Platform
Cisco Systems, Inc.
Remote, United States
You will set technical direction for reliable, scalable batch and streaming pipelines and data products across structured and unstructured data. You will define and continuously improve…
Added 15 hours ago
MG
Senior Network Engineer - TS/SCI w CI Poly
Modern Government Solutions
McLean, VA
- $160,000 to $200,000 USD / year
TITLE: Senior Network Engineer, AI Data Center Infrastructure
Added 15 hours ago
Systems Engineer, Platform Engineering
Quanta Services Management Partnership
Houston, TX
…applied AI - without needing deep specialization in any one layer yet. You’ll work alongside senior engineers who provide context and direction, and you’re expected to carry assigned work…
Added 15 hours ago
Senior Avionics Hardware Development Engineer
Varda Space Industries
El Segundo, CA
As a Senior Avionics Hardware Development Engineer at Varda, you will design and deliver flight-critical electrical hardware for our satellite bus, reentry vehicle, and customer payloads -…
Added 15 hours ago
Technical Customer Success Manager
Cube Dev
San Francisco, CA
Excellent written and verbal communication: you can explain a pre-aggregation strategy to a data engineer and explain ROI to a VP in the same meeting.
Added 15 hours ago
Product Development Engineer, Flexible Packaging
Accredo Packaging, Inc.
United States
We are seeking an experienced Product Development Engineer to serve as a key technical leader and customer-facing resource. In this role, you will bridge the gap between customer needs and…
Added 16 hours ago
TT
Founding Full-Stack Engineer
True Talent Solutions Partners
San Francisco, CA
- $180,000 to $240,000 USD / year
Join an early-stage industrial AI team building wearable tools for field technicians. You will own the product layer around the AI systems, connecting smart glasses, cloud services, and…
Added 16 hours ago
CG
Automation Testing Lead
Capio Group
Sacramento, CA
- $117,000 to $122,000 USD / year
…execution, automation, performance engineering, environment/test data coordination, and defect management. Activities will be conducted under client direction using approved tools (e.g.,…
Added 17 hours ago
TT
Founding Forward Deployed Engineer
True Talent Solutions Partners
New York, NY
- $180,000 to $250,000 USD / year
…member of the deployment team, you will turn complex customer data into reliable models and production agent workflows that support measurable business…
Added 19 hours ago
Cross Domain Network Engineer, Lead
BOOZ, ALLEN & HAMILTON, INC.
Washington, DC
A well-designed network is critical to move data and enable the DoD to achieve their mission, but how can an organization make sure their network will fit their current and evolving needs?…
Added 22 hours ago
Sr HSE Engineer
Honeywell Technologies
Northford, CT
…operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed…
Added 23 hours ago
Cyber Security Infrastructure Engineer
APEX SYSTEMS INC
SUN PRAIRIE, WI

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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More about this job

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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