Jobs in the United States

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Added 1 min ago
Software Engineer III
Pearson
Lincoln, NE
…science, collaboration with psychometrics), and new processes (LLM codegen, agentic AI…
Added 27 mins ago
TT
Staff Product Manager
True Talent Solutions Partners
New York, NY
- $180,000 to $250,000 USD / year
- Experience shipping core AI or LLM products to production in an AI-centric environment.
Added 27 mins ago
TT
Senior Security Engineer
True Talent Solutions Partners
San Francisco, CA
- $190,000 to $250,000 USD / year
- Knowledge of AI or LLM security and experience in fintech or regulated B2B SaaS are useful.
Added 47 mins ago
AI Software Engineer
Credence Management Solutions LLC
Dayton, OH
…are not limited to the duties listed below - Generative AI & LLM UsageContribute to projects using generative AI and LLMs, helping to prototype, customize, and refine AI powered…
Added 48 mins ago
C
Senior Partner Success Manager (Remote)
Concentrix
Columbus, OH
- $105,000 to $110,000 USD / year
Added 1 hour ago
Full Stack Developer (Agile AI/ML Software Developer) (multiple positions) in Chicago, IL.
U.S. Bank National Association
Chicago, IL
U.S. Bank is seeking the position of Full Stack Developer (Agile AI/ML Software Developer) (multiple positions) in Chicago, IL.
Added 1 hour ago
Wireless and Edge AI/ML Engineer
BOOZ, ALLEN & HAMILTON, INC.
Annapolis Junction, MD
…inference using frameworks such as vLLM or NVIDIA TensorRT-LLM, including GPU memory optimization, latency, and throughput…
Added 2 hours ago
Software Engineer III
Pearson
Baton Rouge, LA
…science, collaboration with psychometrics), and new processes (LLM codegen, agentic AI…
Added 2 hours ago
TT
Founding Product Engineer
True Talent Solutions Partners
San Francisco, CA
- $165,000 to $210,000 USD / year
- Experience building LLM-powered applications or coding agents, and engineering data pipelines using web scraping, API integrations, and ETL.
Added 2 hours ago
Vice President of Information Technology and Security
SheerID
Remote, United States
…infrastructure. Collaborate on cloud security posture management (CSPM), developer tool governance, and secure CI/CD…
Added 3 hours ago
DT
AI (ML) Engineer - Colorado Springs, CO
Davidson Technologies, Inc.
Colorado Springs, CO
- $119,000 to $142,000 USD / year
Experience with Large Language Models/Generative AI and Prompt Engineering. Also, using LLM/GAI solutions for usage in human-machine teaming for Software Development. Algorithmic…
Added 3 hours ago
Principal Systems Engineer - Cloud & AI Engineering
CBRE
Richardson, TX
Build Generative AI and LLM-powered solutions, including RAG architectures, AI assistants, and agentic workflows.
Added 4 hours ago
Senior LLM Agents Architect
NVIDIA Corporation
North District, IL
We are looking for a senior LLM Agents Architect to work hands-on with hardware architects, verification engineers, GPU performance experts, and software developers to build end-to-end…
Added 4 hours ago
Senior AI Security Researcher
NVIDIA Corporation
South District, IL · North District, IL
In-depth understanding of LLM, MLLM, Generative AI, Agents and RAG workflows.
Added 4 hours ago
Senior Hardware Architect Artificial Intelligence
NVIDIA Corporation
North District, IL
Familiarity with LLMs: transformer architecture (attention, MLP, MoE) and LLM training/inference parallelism (DP, PP, EP, TP).
Added 4 hours ago
Senior Cybersecurity AI Solutions Engineer
NVIDIA Corporation
North District, IL
At least 5 years of proven experience including hands-on experience deploying and fine-tuning Open/LLM models
Added 4 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
You are a hands-on full-stack developer who builds, tests, and ships reliable software as part of an agile engineering team. You contribute to the design and implementation of cloud-native…
Added 4 hours ago
Delivery Management Engineer II
Deloitte US
Pittsburgh, PA
3+ years hands-on experience building AI and agentic systems and 3+ years’ working with LLM agents, RAG, multi-agent systems, evaluation, and cloud-native architectures.
Added 4 hours ago
Full Stack Agent Platform Developer
Deloitte US
Atlanta, GA · Charlotte, NC · Dallas, TX · Gilbert, AZ · Houston, TX · Lake Mary, FL · Mechanicsburg, PA · Philadelphia, PA
3-6 years of backend Python with deep async/service-design expertise and practical LLM-application experience
Added 4 hours ago
Full Stack Agent Platform Developer
Deloitte US
Austin, TX · Chicago, IL · Detroit, MI · Jersey City, NJ · NY · Rosslyn, VA
3-6 years of backend Python experience with deep async/service-design expertise and practical LLM-application experience
Added 4 hours ago
Digital Strategy Consultant
Deloitte US
Atlanta, GA · Austin, TX · Baltimore, MD · Boston, MA · Charlotte, NC · Chicago, IL · Cincinnati, OH · Cleveland, OH · Columbus, OH · Dallas, TX · Denver, CO · Detroit, MI · Hartford, CT · Houston, TX · Indianapolis, IN · Jacksonville, FL · Kansas City, MO · Las Vegas, NV · Los Angeles, CA · McLean, VA · Miami, FL · Milwaukee, WI · Minneapolis, MN · Morristown, NJ · Nashville, TN · New Orleans, LA · NY · Philadelphia, PA · Pittsburgh, PA · Portland, OR · Raleigh, NC · Richmond, VA · Sacramento, CA · San Diego, CA · San Francisco, CA · San Jose, CA · Seattle, WA · St. Louis, MO · Stamford, CT · Tampa, FL · Tempe, AZ
Has started applying that thinking to AI search over the past year (testing prompts, seeing how brands show up in LLM answers)
Added 4 hours ago
Applied AI Site Reliability Engineer III
Deloitte US
Hermitage, TN · Nashville, TN
Added 4 hours ago
L55 - Lead DevOps Engineer II
Deloitte US
Hermitage, TN · Nashville, TN
Added 4 hours ago
Industrial Technology Senior Consultant
Deloitte US
Atlanta, GA · Austin, TX · Baltimore, MD · Boston, MA · Charlotte, NC · Chicago, IL · Cincinnati, OH · Cleveland, OH · Dallas, TX · Denver, CO · Detroit, MI · Ft. Lauderdale, FL · Hartford, CT · Houston, TX · Indianapolis, IN · Jersey City, NJ · Kansas City, MO · Los Angeles, CA · McLean, VA · Milwaukee, WI · Minneapolis, MN · Nashville, TN · NY · Philadelphia, PA · Pittsburgh, PA · Portland, OR · Raleigh, NC · Sacramento, CA · Salt Lake City, UT · San Diego, CA · San Francisco, CA · San Jose, CA · Seattle, WA · St. Louis, MO · Stamford, CT · Tampa, FL · Tempe, AZ
o Applied AI/ML for operations (e.g., predictive and anomaly detection models, automated fault detection, generative AI and LLM-enabled operator tools)
Added 4 hours ago
AI Security Senior Manager
Deloitte US
Atlanta, GA · Austin, TX · Baltimore, MD · Bellevue, WA · Birmingham, AL · Boise, ID · Boston, MA · Charlotte, NC · Chicago, IL · Cincinnati, OH · Cleveland, OH · Colorado Springs, CO · Columbus, OH · Costa Mesa, CA · Dallas, TX · Denver, CO · Des Moines, IA · Detroit, MI · Fort Worth, TX · Grand Rapids, MI · Hartford, CT · Hermitage, TN · Honolulu, HI · Houston, TX · Huntsville, AL · Indianapolis, IN · Inglewood, CA · Jacksonville, FL · Jericho, NY · Jersey City, NJ · Kansas City, MO · Lansing, MI · Las Vegas, NV · Los Angeles, CA · Louisville, KY · McLean, VA · Memphis, TN · Miami, FL · Milwaukee, WI · Minneapolis, MN · Morristown, NJ · Nashville, TN · New Orleans, LA · NY · Omaha, NE · Philadelphia, PA · Pittsburgh, PA · Portland, OR · Princeton, NJ · Raleigh, NC · Richmond, VA · Rochester, NY · Sacramento, CA · Salt Lake City, UT · San Antonio, TX · San Diego, CA · San Francisco, CA · San Jose, CA · Seattle, WA · St. Louis, MO · Stamford, CT · Tallahassee, FL · Tampa, FL · Tempe, AZ · Tulsa, OK · Washington, DC · Wichita, KS
Experience applying AI risk and security frameworks or regulations, such as NIST AI RMF, ISO/IEC 42001, OWASP LLM Top 10, MITRE ATLAS, the EU AI Act, or sector-specific guidance

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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