Jobs in the United States

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Added 45 mins ago
T
Tools And Automation Engineer
TEKsystems
Broomfield, CO
- $138,700 to $190,700 USD / year
…across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive…
Added 45 mins ago
C
Software Engineer Full Stack / Backend II (Full-Time) - United States
Cisco
Boulder, CO
- Full-time
Proficiency in full-stack development, including experience with Python, Java, or JavaScript, and a solid understanding of RESTful APIs, Object-Oriented Programming, and version control via…
Added 1 hour ago
Senior Software Engineer, AI/ML, Geo and Gemini App
Google
New York, NY
…mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as…
Added 3 hours ago
Software Engineer (Multiple openings) in Irving, TX.
U.S. Bank
Irving, TX
U.S. Bank is seeking a full-time Software Engineer (Multiple openings) in Irving, TX.
Added 3 hours ago
Senior Software Engineer, Windows Desktop App, DeepMind
DeepMind
Mountain View, CA · New York, NY
Experience building desktop or full-stack client applications using TypeScript/JavaScript (e.g., Electron, Chromium, Node.js) or native Windows systems programming (e.g., C++, Win32 APIs,…
Added 4 hours ago
Senior Full Stack Engineer
Jobgether
Remote, United States
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Full Stack Engineer based in United States.
Added 4 hours ago
Software Test Engineer
WCG Clinical
Pierre, SD
The Software Test Engineer is a member of the Quality Engineering team, responsible for supporting the testing, validation and delivery of WCG namedproducts and systems.The role applies…
Added 5 hours ago
Staff Software Engineer, Google Local Services Ads Platform
Google
Mountain View, CA
…mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as…
Added 6 hours ago
Software Engineer, Full Stack Web
Volvo Car Corporation
Mahwah, NJ
As a Software Engineer, Full Stack Web, you work as part of one engineering team across regional and global partners to build secure, reliable, accessible, and scalable web products. You…
Added 10 hours ago
Sentinel - Staff Systems Engineer - Mechanical Systems Design Integrator
Northrop Grumman
Roy · Manhattan Beach
The Staff Mechanical Systems Design Integrator (level 5 engineer) will work with our Sentinel Systems Engineering & Integration (SE&I) Business Unit’s System Integration & Sustainment (SIS)…
Added 10 hours ago
BF
Senior Full Sack & GenAI Developer
BC Forward
Cincinnati, OH
- $65 USD / hour
Job Title: Senior Full Stack & GenAI Developer (1150) Location: Remote Duration: Contract - 3 months Pay Range: $65/hr (W2) Job ID: 410874 About BCforward BCforward is a leading global IT…
Added 11 hours ago
Senior Full Stack Engineer
FacilityOS
Annapolis, MD
We are looking for a highly capable Sr. Full Stack Engineer who can ramp up quickly, collaborate effectively with the existing team, and begin contributing meaningful delivery outcomes…
Added 11 hours ago
T
Cloud Security Lead
TEKsystems
Rockville, MD
- $85 to $95 USD / hour
…across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to…
Added 11 hours ago
Wireless and Edge AI/ML Engineer
BOOZ, ALLEN & HAMILTON, INC.
Annapolis Junction, MD
We're seeking an AI/ML Engineer to join a team building a converged platform that runs real-time wireless signal processing and AI inference on the same GPU-accelerated hardware. You will…
Added 12 hours ago
Software Engineer III
Pearson
Baton Rouge, LA
3-5 years relevant full-stack software development experience
Added 13 hours ago
DT
AI (ML) Engineer - Colorado Springs, CO
Davidson Technologies, Inc.
Colorado Springs, CO
- $119,000 to $142,000 USD / year
Davidson is seeking an AI (ML) Engineer in Colorado Springs, CO.
Added 13 hours ago
Lead Python Full Stack Developer
ManpowerGroup
Austin, TX
Our client, a leading technology organization, is seeking a Lead Python Full Stack Developer to join their team. As a Lead Python Full Stack Developer, you will be part of the Engineering…
Added 14 hours ago
Software Engineer II- Full-stack Developer
Deloitte US
Atlanta, GA · Boston, MA · Charlotte, NC · Chicago, IL · Cincinnati, OH · Cleveland, OH · Columbus, OH · Costa Mesa, CA · Dallas, TX · Denver, CO · Detroit, MI · Hartford, CT · Houston, TX · Kansas City, MO · Los Angeles, CA · McLean, VA · Miami, FL · Minneapolis, MN · Nashville, TN · NY · Philadelphia, PA · Pittsburgh, PA · Raleigh, NC · Richmond, VA · Sacramento, CA · San Jose, CA · Seattle, WA · St. Louis, MO · Stamford, CT · Tampa, FL
Implement agentic AI patterns - tool-calling agents, RAG pipelines, prompt chaining, and memory management - within full-stack applications under senior engineer guidance.
Added 14 hours ago
Full Stack Agent Platform Developer
Deloitte US
Austin, TX · Chicago, IL · Detroit, MI · Jersey City, NJ · NY · Rosslyn, VA
As a Core Software Engineer III on the Engineering as a Service team, you will:
Added 14 hours ago
Junior Full Stack Java Developer
Deloitte US
Las Vegas, NV
3+ years of experience building full-stack applications using Java 2 Platform, Enterprise Edition (J2EE), including 2+ years of Java development
Added 14 hours ago
Applied AI Platform Engineer III
Deloitte US
Dallas, TX · Hermitage, TN · Jersey City, NJ · Morristown, NJ · Nashville, TN · NY
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…
Added 14 hours ago
Senior, Full Stack Engineer - Tax Transformation
Deloitte US
Atlanta, GA · Boston, MA · Charlotte, NC · Chicago, IL · Costa Mesa, CA · Dallas, TX · Denver, CO · Grand Rapids, MI · Hartford, CT · Lake Mary, FL · Los Angeles, CA · McLean, VA · NY · Philadelphia, PA · Pittsburgh, PA · Raleigh, NC · Rosslyn, VA · San Diego, CA · San Francisco, CA · Seattle, WA · Tampa, FL · Washington, DC
As a Deloitte Tax Full Stack Engineer, Senior you’ll design, develop, and deploy cutting-edge web applications and features that solve key business challenges. You’ll work hands-on across…
Added 15 hours ago
Full Stack Developer
Reflexive Concepts
Annapolis Junction, MD
We have an immediate need for an experienced Full Stack Software Engineer. Partnering with the team, you will drive backend framework updates, continue building responsive Angular front-end…
Added 17 hours ago
Applications Dev Eng III
Snohomish PUD
Everett, WA
You can find the full job description for this position, including accountabilities, required skills and abilities, and physical and mental demands and working conditions, on the following…
Added 17 hours ago
Product Engineer
Yuzu
New York City, NY
We're a small team where everyone operates full-stack on problems. You'll sometimes do work that isn't in your job title, and that should sound like a perk, not a burden. We ship, learn,…

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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