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Added 14 mins 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 28 mins ago
Principal Systems Engineer - Cloud & AI Engineering
CBRE
Richardson, TX
As a CBRE Principal Systems Engineer - Cloud & AI Engineering, you will serve as one of the most senior technical individual contributors within Cloud Platform Services. You will lead the…
Added 43 mins ago
Senior Software Engineer - Networking
NVIDIA Corporation
North District, IL
…highly motivated and experienced SW networking senior software engineer to join our SAI development…
Added 45 mins 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 47 mins 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 51 mins ago
Senior Site Reliability Engineering - Storage
NVIDIA Corporation
North District, IL
We are seeking a Senior Site Reliability Engineer – Storage, you will own the reliability, performance, and scalability of our global NAS, SAN, and Object Storage platforms that power…
Added 51 mins ago
Senior Networking ASIC Functional Characterization Engineer
NVIDIA Corporation
North District, IL
Lead the execution of system-level functional characterization of networking ASICs.
Added 54 mins ago
Senior Software Engineer, NVLINK
NVIDIA Corporation
North District, IL
As a Senior Software Engineer at NVIDIA, you will use your expertise in C++ and Python to develop NVOS features and support new products.
Added 54 mins ago
Senior Hardware Technical Lead, Interconnect Systems
NVIDIA Corporation
North District, IL
…next-generation AI data centers. We are looking for a Hardware Technical Lead to own end-to-end technical program execution of complex Co-Packaged Optics (CPO) and Silicon Photonics (SiPho)…
Added 57 mins ago
Senior DevOps Engineer
NVIDIA Corporation
North District, IL
NVIDIA is looking for an outstanding engineer to join the Networking Software Cross DevOps team. The position is part of a team that supports sophisticated systems and integrations,…
Added 57 mins ago
Software Verification Engineer
NVIDIA Corporation
North District, IL
NVIDIA is looking for an outstanding Software Verification Engineer for our Linux Drivers group. You'll closely work with NVIDIA Driver developers, verification teams, and performance…
Added 58 mins 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
Software Engineer II, AI & Engineering/Engineering as a Service
Added 58 mins ago
Delivery Management Engineer II
Deloitte US
Pittsburgh, PA
As a Delivery Management Engineer II, you will have hands-on technical skills as well as program and project management experience to drive technical projects and programs working directly…
Added 58 mins ago
Cyber Operate Manager - GCP Cloud DevOps Engineer
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 · Dallas, TX · Davenport, IA · Denver, CO · Des Moines, IA · Detroit, MI · Fort Worth, TX · Fresno, CA · Ft. Lauderdale, FL · Gilbert, AZ · Grand Rapids, MI · Hartford, CT · Hermitage, TN · Houston, TX · Huntsville, AL · Indianapolis, IN · Inglewood, CA · Jacksonville, FL · Jericho, NY · Jersey City, NJ · Kansas City, MO · Lake Mary, FL · Lansing, MI · Las Vegas, NV · Los Angeles, CA · Louisville, KY · McLean, VA · Mechanicsburg, PA · Memphis, TN · Miami, FL · Midland, MI · Milwaukee, WI · Minneapolis, MN · Monterey, CA · Morristown, NJ · Nashville, TN · New Orleans, LA · NY · Omaha, NE · Philadelphia, PA · Pittsburgh, PA · Portland, OR · Princeton, NJ · Raleigh, NC · Richmond, VA · Rochester, NY · 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 · Tallahassee, FL · Tampa, FL · Tempe, AZ · Tulsa, OK · Washington, DC · Westlake, TX · Wichita, KS · Williamsville, NY
Deloitte is seeking a Lead Managed Services Engineer II to design, automate, and operate enterprise-scale cloud capabilities that support clients’ critical cyber assets. In this role, you…
Added 59 mins 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 59 mins ago
Application Support Manager (SRE)
Deloitte US
Dallas, TX
…work in a collaborative environment? As an Application Support Engineer, you will have the ability to share new ideas and collaborate on high-impact projects supporting mission-critical…
Added 1 hour ago
Agenic Data Engineering Developer
Deloitte US
Austin, TX · Chicago, IL · Detroit, MI · Jersey City, NJ · NY · Rosslyn, VA
As a hands-on Core Data Engineer III on the AI & Data team, you will own the human-facing surface of these agents: the interfaces where users launch agent runs, watch them think in real…
Added 1 hour ago
Project - Healthcare Claims Data Analytics and Insights Engineer III
Deloitte US
Des Moines, IA
As a Project - Analytics and Insights Engineer III on the project, you will:
Added 1 hour ago
Data Analytics & Insights Specialist
Deloitte US
Atlanta, GA · Austin, TX · Baltimore, MD · Boston, MA · Charlotte, NC · Chicago, IL · Dallas, TX · Houston, TX · Jacksonville, FL · Jersey City, NJ · McLean, VA · Miami, FL · NY · Raleigh, NC · Richmond, VA · Rosslyn, VA · San Antonio, TX · Tallahassee, FL · Tampa, FL · Tempe, AZ · Washington, DC
As a Project Analytics & Insights Engineer III on the AI & Data team, you will design and develop AI enabled solutions to process unstructured data using client approved tools such as Azure…
Added 1 hour ago
Health Care Analytics and Insights Engineer II
Deloitte US
Rosslyn, VA
As an Analytics and Insights Engineer II on the Deloitte AI & Engineering team, you will be responsible for:
Added 1 hour ago
Databricks Engineer - Data Engineer II
Deloitte US
Baltimore, MD · Rosslyn, VA · Washington, DC
As a Data Engineer II on the AI & Engineering team, you will be responsible for...
Added 1 hour ago
Senior Data Scientist - TS/SCI Clearance Required
Deloitte US
Tampa, FL
Join Deloitte’s AI & Engineering team as a Project Data Management Engineer III and help public-sector clients use data, artificial intelligence (AI), and machine learning (ML) to address…
Added 1 hour ago
Petrotechnical Data Solutions Engineer (Upstream)
Deloitte US
Atlanta, GA · Austin, TX · Boston, MA · Charlotte, NC · Chicago, IL · Cincinnati, OH · Cleveland, OH · Columbus, OH · Costa Mesa, CA · Dallas, TX · Denver, CO · Detroit, MI · Houston, TX · Indianapolis, IN · Kansas City, MO · Los Angeles, CA · McLean, VA · Miami, FL · Minneapolis, MN · Morristown, NJ · Nashville, TN · NY · Philadelphia, PA · Pittsburgh, PA · Sacramento, CA · San Diego, CA · San Francisco, CA · San Jose, CA · Seattle, WA · St. Louis, MO · Stamford, CT · Tampa, FL · Tempe, AZ
As a Data Engineer III on the AI & Data team, you will be responsible for:
Added 1 hour ago
Life Sciences Data Management, Senior (MDM/DGov)
Deloitte US
Atlanta, GA · Austin, TX · Boston, MA · Charlotte, NC · Chicago, IL · Cincinnati, OH · Cleveland, OH · Columbus, OH · Costa Mesa, CA · Dallas, TX · Denver, CO · Detroit, MI · Houston, TX · Indianapolis, IN · Kansas City, MO · Los Angeles, CA · McLean, VA · Miami, FL · Minneapolis, MN · Morristown, NJ · Nashville, TN · NY · Philadelphia, PA · Pittsburgh, PA · Sacramento, CA · San Diego, CA · San Francisco, CA · San Jose, CA · Seattle, WA · St. Louis, MO · Stamford, CT · Tampa, FL · Tempe, AZ
As a Data Management Engineer III on the AI & Data team, you will be responsible for:
Added 1 hour ago
Life Sciences Solutions Engineer, Senior (Commercialization)
Deloitte US
Atlanta, GA · Austin, TX · Boston, MA · Charlotte, NC · Chicago, IL · Cincinnati, OH · Cleveland, OH · Columbus, OH · Costa Mesa, CA · Dallas, TX · Denver, CO · Detroit, MI · Houston, TX · Indianapolis, IN · Kansas City, MO · Los Angeles, CA · McLean, VA · Miami, FL · Minneapolis, MN · Morristown, NJ · Nashville, TN · NY · Philadelphia, PA · Pittsburgh, PA · Sacramento, CA · San Diego, CA · San Francisco, CA · San Jose, CA · Seattle, WA · St. Louis, MO · Stamford, CT · Tampa, FL · Tempe, AZ
As a Data Management Engineer III on the AI & Data team, you will be responsible for:

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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