Jobs in the United States

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Added 42 mins ago
A
Principal AI Engineer - Evinova
AstraZeneca
Gaithersburg, MD · Gaithersburg
- $144,648.8 to $189,851.55 USD / year
Evinova is a health-tech business focused on accelerating better health outcomes by advancing digital transformation across the life sciences sector. By combining science-based expertise,…
Added 46 mins ago
Director, Strategic Programs
Tapcheck
Remote, United States
…team to define what success looks like, then bringing Product, Engineering, Partnerships, Marketing, Customer Success, and Operations together to deliver…
Added 1 hour ago
Co-Founder & CEO - AI Content Intelligence for Professional Services
FutureSight Ventures
Remote, United States
Venture building resources, including embedded design, engineering, growth, and fundraising support from day one
Added 1 hour ago
Co-Founder & CEO - AI Content Intelligence for Professional Services
FutureSight Ventures
Remote, United States
Venture building resources, including embedded design, engineering, growth, and fundraising support from day one
Added 1 hour ago
Co-Founder & CEO - Entrepreneur in Residence
FutureSight Ventures
Remote, United States
Venture building resources, including embedded design, engineering, growth, and fundraising support from day one
Added 1 hour ago
Co-Founder & CEO - Entrepreneur in Residence
FutureSight Ventures
Remote, United States
Venture building resources, including embedded design, engineering, growth, and fundraising support from day one
Added 2 hours ago
C
Applied AI Engineer (Forward Deployed) [NYC or SF]
Concurrence
New York City, NY
- $200,000 to $260,000 USD / year
Applied AI is where Concurrence meets the real world. Our core engineering team builds the platform. We take it into health systems and build what each customer actually needs on top of it,…
Added 2 hours ago
TM
Software Engineer
Triangle Manufacturing
Upper Saddle River, NJ
- $80,000 USD / year
Providing Engineering and Manufacturing solutions since 1955, Triangle specializes in precision engineering and manufacturing of highly complex, tight-tolerance machined parts and…
Added 2 hours ago
Solution Architect – React/Java
Concentrix
Omaha, NE
…data, and technology services. We integrate world-class digital engineering, creativity, and a deep understanding of human behavior to find and unlock value through tech-powered and…
Added 3 hours ago
Senior Data Platform Engineer
PushPress
Remote, United States
…answers they can rely on without waiting on the Data team. You'll design the platform that makes that possible and support the teams who build on it. You'll collaborate closely with our…
Added 4 hours ago
HV TECH I
EDP Energias de Portugal S.A.
Cantua Creek, CA, CA
Strong knowledge of medium- and high-voltage substation electrical equipment, collection systems, transmission design, and operations; familiarity with power factor test sets, AC/DC…
Added 4 hours ago
Software Engineer III
Pearson
Baton Rouge, LA
This Software Engineer position is responsible for analysis, design, implementation, unit testing, and quality engineering to produce and maintain high-quality software solutions.
Added 5 hours ago
Sr. Apparel Product Developer
Varsity Brands, LLC
Farmers Branch, TX
Work with design and engineering to help transition design prototypes into cost-efficient and high-volume products.
Added 5 hours ago
Apparel Product Developer
Varsity Brands, LLC
Farmers Branch, TX
Work with Design and Engineering teams to transition prototypes into cost‑efficient, scalable, high‑volume production.
Added 6 hours ago
TI
Engineering Manager, Robotics Software
Tutor Intelligence
Watertown, MA
- $180,000 to $420,000 USD / year
Founded at MIT and headquartered in Watertown, MA, our team is full stack: we design and manufacture robot hardware, train our own models, work directly with the smallest and largest…
Added 6 hours ago
Senior Associate, Software Engineer
L3Harris
Richardson, TX
Work closely with cross functional members of the engineering organization to develop and evaluate interfaces between hardware and software, and operational performance requirements and…
Added 6 hours ago
RF Support Engineer
Emerson
Austin, TX
Bachelor of Engineering required with preferred bachelor's in electrical or computer engineering
Added 6 hours ago
Business Process & Automation Contractor
ManpowerGroup
Austin, TX
…technology platform fees and mobile credential transactions across Tech Giants and future ecosystem providers. The role will connect data and processes across Origo, the company's cloud…
Added 6 hours ago
Senior Security Architect
NVIDIA Corporation
South District, IL · North District, IL · Haifa District, IL
Lead, research, design, develop, and implement solutions for next-generation confidential computing network devices.
Added 6 hours ago
Senior Hardware System Engineer
NVIDIA Corporation
North District, IL
We are looking for a system engineer to join our Failure Analysis engineering team under the System Product Engineering group in the NVIDIA. As a System Failure Analysis (FA) Engineer, you…
Added 6 hours ago
Technical Lead, SWE
Kastle
San Francisco, CA
- 2+ years leading engineers as a tech lead, staff engineer, or engineering manager, with a track record of shipping large systems through a team.
Added 6 hours ago
Chip Architect
NVIDIA Corporation
North District, IL
Define the Network Adapter chip architecture end to end from the market requirements through design and all product life cycles (post/pre-silicon, on deployments). Work with related…
Added 6 hours ago
Senior Software Architect, AI Networking
NVIDIA Corporation
North District, IL
…role, you will work across software and hardware domains to design and optimize inference infrastructure for large language models running on some of the most sophisticated GPU clusters in…
Added 6 hours ago
Senior Hardware Network Engineer
NVIDIA Corporation
North District, IL
The Networking Application Engineering team at NVIDIA is looking for a motivated, experienced Senior Hardware Engineer who thrives at the intersection of hardware performance, ecosystem…
Added 6 hours ago
Chip Modeling Architect
NVIDIA Corporation
North District, IL
Define the Network Adapter chip architecture end to end from the market requirements through design and all product life cycles (post/pre-silicon, on deployments). Work with related…

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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