Jobs in the United States

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Added 13 mins ago
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Lead Principal Application Software Engineer- Forward Deployed Engineer
Oracle
Dover, DE
- $104,600 to $264,100 USD / year
Expert knowledge of Oracle AI Data Platform or equivalent modern cloud data platforms.Extensive experience with Databricks, Snowflake, Apache Spark, Delta Lake, Azure, AWS, Kafka, Python,…
Added 1 hour ago
O
Lead Principal Application Software Engineer- Forward Deployed Engineer
Oracle
Pierre, SD
- $104,600 to $264,100 USD / year
Expert knowledge of Oracle AI Data Platform or equivalent modern cloud data platforms.Extensive experience with Databricks, Snowflake, Apache Spark, Delta Lake, Azure, AWS, Kafka, Python,…
Added 5 hours ago
Senior Azure Infrastructure Engineer
Jobgether
Remote, United States
The Senior Azure Infrastructure Engineer will design, implement, automate, and support secure, scalable, and resilient cloud infrastructure within an enterprise Azure environment. Working…
Added 10 hours ago
Project - Healthcare Claims Data Analytics and Insights Engineer III
Deloitte US
Des Moines, IA
Build dashboards and analytical visualizations (Tableau, Power BI, or Databricks) to surface risk indicators and support investigative teams.
Added 11 hours ago
Data Engineer II - Databricks
Deloitte US
Baltimore, MD · McLean, VA · Richmond, VA · Rosslyn, VA · Washington, DC
Deloitte is seeking a Data Engineer II to support the design, development, and delivery of data solutions that enable analytics, reporting, and business decision-making. This role will…
Added 11 hours ago
Data Platform Engineer
Deloitte US
Baltimore, MD · McLean, VA · Richmond, VA · Rosslyn, VA · Washington, DC
Deloitte is seeking a Data Engineer II to support the design, development, and delivery of data solutions that enable analytics, reporting, and business decision-making. This role sits at…
Added 11 hours ago
Principal Solution Architect (Azure)
Deloitte US
Atlanta, GA · Cincinnati, OH · Dallas, TX · Hermitage, TN · Indianapolis, IN · Kansas City, MO · Nashville, TN · San Antonio, TX · St. Louis, MO · Tampa, FL
Engineer for high throughput and low latency: concurrency, async I/O, caching (Redis), partitioning, idempotency, back-pressure, and circuit-breaking.
Added 11 hours ago
AI and Data Science Engineer II - Security Clearance Required
Deloitte US
Rosslyn, VA
As an AI and Data Science Engineer III on the Government & Public Services (GPS) AI & Data team, you will be responsible for designing, developing, and deploying data and AI solutions that…
Added 11 hours ago
Data Engineer- Consultant AI& E
Deloitte US
Atlanta, GA · Austin, TX · Baltimore, MD · Bellevue, WA · Birmingham, AL · Boston, MA · Charlotte, NC · Chicago, IL · Cincinnati, OH · Cleveland, OH · Columbus, OH · Costa Mesa, CA · Dallas, TX · Davenport, IA · Des Moines, IA · Fort Worth, TX · Hartford, CT · Hermitage, TN · Houston, TX · Huntsville, AL · Indianapolis, IN · Jersey City, NJ · Kansas City, MO · Los Angeles, CA · McLean, VA · Mechanicsburg, PA · Memphis, TN · Milwaukee, WI · Minneapolis, MN · Morristown, NJ · Nashville, TN · New Orleans, LA · NY · Philadelphia, PA · Pittsburgh, PA · Portland, OR · Princeton, NJ · Raleigh, NC · Richmond, VA · Rosslyn, VA · 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 · Tulsa, OK · Westlake, TX
Technical - SQL, Azure Databricks, Apache Spark* Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent…
Added 11 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 12 hours ago
Lead ML/AI Engineer
TailorCare
United States
As Lead ML/AI Engineer, you will be the technical lead for the platform that turns model output into action. You will set the engineering standards for our decisioning, streaming, and ML…
Added 12 hours ago
Associate Engineer, Analytical AI Engineering
Bristol Myers Squibb
Princeton, NJ
The Associate Engineer is a developing individual contributor who delivers reliable, well-scoped engineering work within established patterns. You will help build data pipelines, ML…
Added 13 hours ago
AI/ML Machine Learning Engineer
Children's Healthcare of Atlanta, Inc.
United States
The AI Machine Learning Engineer bridges the gap between data science and implementation. They support data scientists and clinical informaticists in the development, deployment and…
Added 16 hours ago
Sr. Threat Detection Automation
NORTHWESTERN MUTUAL LIFE INSURANCE
MILWAUKEE, WI
JOB REQUIREMENTS: About the Job: We are looking for a highly motivated Security Automation Engineer with experience in Data Engineering to join NM\'s Security Automation & Data Analytics…
Added 16 hours ago
Digital Platforms, Senior Data Engineer
PCI PHW Packaging Coordinators Inc.
Philadelphia, PA · Rockford, IL
The Senior Data Engineer (Databricks Platform) is a senior individual contributor responsible for the hands-on design, development, optimization, and operational support of the enterprise…
Added 17 hours ago
Senior Data Engineer - Databricks
Steampunk
Remote, United States
We are looking for seasoned Senior Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks. We are looking for…
Added 17 hours ago
Senior Data Engineer - Databricks
Steampunk
Remote, United States
We are looking for seasoned Senior Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks. We are looking for…
Added 23 hours ago
Data Engineer
Dekker
Albuquerque, NM
Added 1 day ago
Engineer III- Technology
Edward Jones
Tempe, AZ
…application reliability through continuous improvement and production…
Added 1 day ago
Data Platform Engineer
Domino's
Ann Arbor, MI
Administer and support Databricks workspaces, clusters, jobs, runtimes, compute policies, SQL Warehouses, and platform configurations.
Added 1 day ago
BF
MLOps engineer
BC Forward
Cincinnati, OH
- $80 to $85 USD / hour
Added 1 day ago
Engineering Director
Bridgenext
UNAVAILABLE
At Bridgenext, we engineer Growth Operating Systems. Most enterprises have spent millions on their revenue stack and still aren't seeing the growth they expected.They have tools that…
Added 1 day ago
M
Senior Azure Data Engineer (No C2C)
ManpowerGroup
Baltimore, MD
- $71 to $75 USD / hour
Design, develop, and support scalable cloud-based data platforms and pipelines using Azure services and Databricks.
Added 1 day ago
Principal Engineer II - Data Engineering
Toyota
Plano, TX
Toyota does not offer support or sponsorship of job applicants for employment-based visas or any other work authorization for this role now or in the future. You must have the right to work…
Added 1 day ago
Senior Engineer - Data Engineering
Toyota
Plano, TX
Toyota does not offer support or sponsorship of job applicants for employment-based visas or any other work authorization for this role now or in the future. You must have the right to work…

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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