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AI / ML · Deloitte Consulting LLP

AI Engineer III

Deloitte

Senior · 5+ yrsOn-site · Multiple LocationsListed 8d ago
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Experience Senior · 6+ yrs (5+ years)

About the role

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AI Engineer III Data and Analytics | Artificial Intelligence and Data Science Same job available in 43 locations Atlanta, Georgia, United States Austin, Texas, United States Baltimore, Maryland, United States Boston, Massachusetts, United States Charlotte, North Carolina, United States Chicago, Illinois, United…

What you will do

  • Designing, building, and running the trusted, governed data, feature, and retrieval layer used by AI/ML and GenAI solutions.
  • Partner with the Lead AI Solutions Architect and AI Data Engineer to translate Human Capital product needs into secure, scalable technical designs and delivered solutions.
  • Build and operationalize LLM-enabled capabilities (e.g., copilots, HR knowledge assistants, summarization, policy Q&A).
  • Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector/hybrid search, and retrieval/evaluation telemetry.
  • Implement safety, privacy, and access controls (PII handling, prompt-injection defenses, content filtering, policy-based access) with security and risk stakeholders.

What they are looking for

  • Bachelor’s degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science)
  • 4+ years building and delivering large language model (LLM) and generative artificial intelligence (GenAI) solutions with Claude/GPT(Codex)/Gemini-class models, including prompt/context design, tool/function calling, evaluation, and production integration
  • 4+ years implementing retrieval-augmented generation (RAG)/retrieval, including document processing, embeddings, vector/hybrid search, and enterprise governance controls
  • 4+ years of modern data and AI engineering, including data modeling, batch/streaming pipelines, structured/unstructured processing, feature engineering/serving fundamentals, and production real-time inference services, including application programming interface (API) design, latency/performance, an
  • 4+ years leading platform/integration engineering across enterprise systems, including API/integration experience with Representational State Transfer (REST), GraphQL, event-driven architecture, microservices, and middleware
  • 4+ years of Development and Operations (DevOps) or Development, Security, and Operations (DevSecOps) experience, including CI/CD, infrastructure as code (IaC) such as Terraform/CloudFormation, Docker/Kubernetes, and observability/monitoring
  • 4+ years leading security/compliance efforts, including experience with enterprise security controls such as identity and access management (IAM), encryption, secrets, and audit logging; and data/privacy controls such as PII, retention, and access controls
  • Ability to travel 0–25%, on average, based on the work you do and the clients and industries/sectors you serve.

Nice to have

  • Master of Science (MS) or Doctor of Philosophy (PhD) degree and/or cloud and AI/ML certifications
  • 4+ years of experience with Human Capital platforms and integrations, including Workday, SAP SuccessFactors, Oracle HCM, or Salesforce, and HR data domains
  • 4+ years of experience operationalizing LLMOps/MLOps capabilities, including evaluation, monitoring, governance workflows, and model/prompt/version management; and 4+ years of cloud experience on one or more of Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), including man
  • 4+ years of experience using structured problem solving to translate business needs into requirements, acceptance criteria, and shippable increments; and 4+ years of experience explaining AI/GenAI trade-offs involving quality, latency, cost, and risk to stakeholders and documenting decisions
  • 4+ years of experience collaborating across product, data science/ML, data engineering, platform, and security; and 4+ years of experience performing threat testing, monitoring, and operational-readiness activities
  • 4+ years of experience identifying consent, PII, and bias boundaries and escalating appropriately; experience supporting SOC 2, General Data Protection Regulation (GDPR), or Health Insurance Portability and Accountability Act (HIPAA) requirements

Before you apply

  • Limited immigration sponsorship may be available.

Benefits

  • Employees are offered a broad range of benefits.
  • Opportunities to build new skills and take on leadership opportunities.
  • Mentorship and opportunities for professional growth.
Prompt/context designTool/function callingRetrieval-augmented generation (RAG)Document processingEmbeddingsVector/hybrid searchFeature engineering/servingAPI designClaudeGPT/CodexGeminiTerraformCloudFormationDockerKubernetesWorkday
Full posting text

AI Engineer III Data and Analytics | Artificial Intelligence and Data Science Same job available in 43 locations Atlanta, Georgia, United States Austin, Texas, United States Baltimore, Maryland, United States Boston, Massachusetts, United States Charlotte, North Carolina, United States Chicago, Illinois, United States Cincinnati, Ohio, United States Cleveland, Ohio, United States Columbus, Ohio, United States Costa Mesa, California, United States Dallas, Texas, United States Denver, Colorado, United States Detroit, Michigan, United States Hartford, Connecticut, United States Houston, Texas, United States Indianapolis, Indiana, United States Jacksonville, Florida, United States Kansas City, Missouri, United States Las Vegas, Nevada, United States Los Angeles, California, United States McLean, Virginia, United States Miami, Florida, United States Minneapolis, Minnesota, United States Morristown, New Jersey, United States Nashville, Tennessee, United States New Orleans, Louisiana, United States New York, New York, United States Philadelphia, Pennsylvania, United States Pittsburgh, Pennsylvania, United States Portland, Oregon, United States Raleigh, North Carolina, United States Richmond, Virginia, United States Sacramento, California, United States San Antonio, Texas, United States San Diego, California, United States San Francisco, California, United States San Jose, California, United States Seattle, Washington, United States St.

Louis, Missouri, United States Stamford, Connecticut, United States Tampa, Florida, United States Tempe, Arizona, United States Tulsa, Oklahoma, United States Back to search results Apply now Share this job: Share: Share Share AI Engineer III with Facebook Share AI Engineer III with LinkedIn Share AI Engineer III with Twitter Caution against fraudulent job offers. Learn more. Back to search results Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients’ success.

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that power Human Capital AI products and analytics. You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non-functional requirements), partnering closely with product, data science/ML, security, and platform engineering to deliver reliable, secure, and scalable AI solutions.This role is hands-on and delivery-oriented: you will ship production pipelines and services that support model training, real-time inference, and LLM applications using Claude-, GPT/Codex-, and Gemini-class models, and more implemented with strong governance, observability, and cost/performance discipline.Recruiting for this role ends on 10/30/2026.

Work you'll doAs an AI Engineer III on the HC Forward team, you will be responsible for designing, building, and running the trusted, governed data, feature, and retrieval layer used by AI/ML and GenAI solutions. You will deliver reproducible datasets and features, operationalize quality and lineage, and enable secure consumption patterns for both predictive ML and LLM-based experiences.Partner with the Lead AI Solutions Architect and AI Data Engineer to translate Human Capital product needs into secure, scalable technical designs and delivered solutions (APIs, services, pipelines, containers/serverless) meeting availability, performance, and security expectations.Build and operationalize LLM-enabled capabilities (e.g., copilots, HR knowledge assistants, summarization, policy Q&A) using Claude/GPT(Codex)/Gemini, including secure endpoints, tool/function calling, and reusable prompt/context patterns.Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector/hybrid search, and retrieval/evaluation telemetry.Deliver governed datasets and feature engineering/serving for ML training and real-time inference (online/offline consistency, caching, latency SLOs, backfills).

Implement safety, privacy, and access controls (PII handling, prompt-injection defenses, content filtering, policy-based access) with security and risk stakeholders.Establish data/model reliability and cost-performance discipline (data quality, schema evolution, lineage/metadata, monitoring; right-sizing, query tuning, LLM token/cost telemetry), and contribute to MLOps/LLMOps and production operations (versioning, reproducibility, CI/CD, automated testing, observability, incident response); support design reviews, deployment readiness, and runbooks.A successful candidate would possess these skills:Ability to work independently and collaborate as part of a teamEffective written and verbal communication skillsMeticulous attention to detail and quality of work productAbility to build and sustain professional relationshipsAbility to lead projects or workstreamsAbility to manage and prioritize multiple tasks in a fast-paced and dynamic environmentStrong interpersonal skills and professional demeanorAbility to meet deadlinesAbility to provide clear guidance to othersThe teamHC Forward is a dedicated innovation partner accelerating the future of Human Capital by building market-aligned products, platforms, and services that apply AI, data, and engineering to modernize HR experiences and outcomes.QualificationsRequired:Bachelor’s degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science)4+ years building and delivering large language model (LLM) and generative artificial intelligence (GenAI) solutions with Claude/GPT(Codex)/Gemini-class models, including prompt/context design, tool/function calling, evaluation, and production integration4+ years implementing retrieval-augmented generation (RAG)/retrieval, including document processing, embeddings, vector/hybrid search, and enterprise governance controls4+ years of modern data and AI engineering, including data modeling, batch/streaming pipelines, structured/unstructured processing, feature engineering/serving fundamentals, and production real-time inference services, including application programming interface (API) design, latency/performance, and reliability patterns4+ years leading platform/integration engineering across enterprise systems, including API/integration experience with Representational State Transfer (REST), GraphQL, event-driven architecture, microservices, and middleware4+ years of Development and Operations (DevOps) or Development, Security, and Operations (DevSecOps) experience, including CI/CD, infrastructure as code (IaC) such as Terraform/CloudFormation, Docker/Kubernetes, and observability/monitoring4+ years leading security/compliance efforts, including experience with enterprise security controls such as identity and access management (IAM), encryption, secrets, and audit logging; and data/privacy controls such as PII, retention, and access controlsAbility to travel 0–25%, on average, based on the work you do and the clients and industries/sectors you serve.Limited immigration sponsorship may be available.Preferred:Master of Science (MS) or Doctor of Philosophy (PhD) degree and/or cloud and AI/ML certifications4+ years of experience with Human Capital platforms and integrations, including Workday, SAP SuccessFactors, Oracle HCM, or Salesforce, and HR data domains4+ years of experience operationalizing LLMOps/MLOps capabilities, including evaluation, monitoring, governance workflows, and model/prompt/version management; and 4+ years of cloud experience on one or more of Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), including managed data platforms and scalable compute patterns4+ years of experience using structured problem solving to translate business needs into requirements, acceptance criteria, and shippable increments; and 4+ years of experience explaining AI/GenAI trade-offs involving quality, latency, cost, and risk to stakeholders and documenting decisions4+ years of experience collaborating across product, data science/ML, data engineering, platform, and security; and 4+ years of experience performing threat testing, monitoring, and operational-readiness activities4+ years of experience identifying consent, PII, and bias boundaries and escalating appropriately; experience supporting SOC 2, General Data Protection Regulation (GDPR), or Health Insurance Portability and Accountability Act (HIPAA) requirementsThe 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 $122,000 to $240,500.

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.#HCFY27 Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.

Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.

Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.

Our purposeDeloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.

Learn more. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see https://www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles’s Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act.

See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers Requisition code: 371753 Job ID 371753 SCAM ALERT Caution against fraudulent job offers! We have been informed of instances where jobseekers are led to believe of fictitious job opportunities with Deloitte US (“Deloitte”). In one or more such cases, false promises of actual or potential selection, or initiation or completion of the recruitment formalities appear to have been or are being made.

Some jobseekers appear to have been asked to pay money to specified bank accounts of individuals or entities as a condition of their selection for a ‘job’ with Deloitte. These individuals or entities are in no way connected with Deloitte and do not represent or otherwise act on behalf of Deloitte. We would like to clarify that: At Deloitte, ethics and integrity are fundamental and not negotiable.

We are against corruption and neither offer bribes nor accept them, nor induce or permit any other party to make or receive bribes on our behalf. We have not authorized any party or person to collect any money from jobseekers in any form whatsoever for promises of getting jobs in Deloitte. We consider candidates on merit and that we provide an equal opportunity to eligible applicants. No one other than designated Deloitte personnel (e.g., a Deloitte recruiter or Deloitte hiring partner) is permitted to extend any job offer from Deloitte.

Anyone who at any time has made or makes any payment to any party in exchange for promises of job or selection for a job with Deloitte or any matter related to this (including those for ‘registration’, ‘verification’ or ‘security deposit’) or otherwise engages with any such person who has made or makes fraudulent promises or offers, does so (or has done so) entirely at their own risk. Deloitte takes no responsibility or liability for any such unauthorized or fraudulent actions or engagements.

We encourage jobseekers to exercise caution.

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Deloitte

Business Consulting and Services

Deloitte drives progress. Our firms around the world help clients become leaders wherever they choose to compete. Deloitte invests in outstanding people of diverse talents and backgrounds and empowers them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited (“DTTL”), its global network of member firms, and their related entities.

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