Deloitte
Consulting · Consulting + audit
Deloitte currently has 140 active AI-related job listings. The majority of these roles, 76%, are focused on the agents stage. The top function for hiring is Engineering, with 135 listings. Frequent tech tags include agent orchestration, model serving, and LLM observability, suggesting a focus on deploying and managing AI systems. In the last 30 days, Deloitte posted 57 new AI roles.
Currently tracking 97 active AI roles, down 97% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $73k–$293k (avg $165k).
Consulting · Consulting + audit
Deloitte currently has 137 active AI-related roles in our index. The most common open titles are: Finance Analytics & AI Manager (4), Finance Analytics & AI Senior Consultant (4), Agentic Software Engineer III (2), Delivery Senior Consultant, Data Engineering and Gen AI (2), Forward Deployed Engineer- AWS (2). Most positions are in Engineering and Product.
Deloitte's active AI hiring is concentrated in: agents (64%), application (15%), serving infrastructure (12%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Job postings at Deloitte most frequently mention: LLM Evaluation & Grading, GCP, AWS, Azure, Model Monitoring.
In the past 30 days, Deloitte has posted 43 new AI-related roles. That is a -73% change versus the prior 30 days (157 → 43).
| Title | Stage | AI score |
|---|---|---|
| Oracle Technical Cloud Associate Vice President This role focuses on leading Oracle Cloud strategy, architecture, and implementation efforts, with a specific emphasis on designing and deploying embedded AI agents within Oracle Cloud environments, including Oracle AI Agent Studio and Oracle Cloud Infrastructure Generative AI services. The position involves advising clients on these solutions and leading project teams through delivery. | Agent | 5 |
| AI Full Stack Engineer, Manager - Tax Transformation Managerial role focused on designing, developing, and deploying AI-driven features and integrating ML models into enterprise web solutions, utilizing Azure AI/ML, vector databases, and prompt engineering. | Agent | 5 |
| Oracle Technical Cloud Associate Vice President Lead the design and implementation of Oracle Cloud strategy, architecture, and implementation efforts that support enterprise transformation and business value, including advising clients on the design and deployment of embedded artificial intelligence agents within Oracle Cloud. | Agent | 5 |
| Oracle Generative AI Associate Vice President This role focuses on leading Oracle ERP and Generative AI engagements, designing AI-enabled solutions for clients, advising on GenAI use cases, and driving process redesign and system implementation to improve business performance. It's an Associate Vice President position within Deloitte's Oracle practice, targeting clients in finance, supply chain, and procurement. | Ship | 5 |
| Oracle Generative AI Associate Vice President This role focuses on leading Oracle ERP and Generative AI engagements, designing AI-enabled Oracle ERP solutions, and advising clients on Generative AI use cases across finance, supply chain, and procurement. The goal is to drive process redesign and systems implementation to improve productivity and operational performance within an enterprise context. | Ship | 5 |
| AI Governance and Testing Support This role supports AI governance, workforce readiness, and testing initiatives to help organizations adopt AI responsibly. It involves tracking tasks, coordinating stakeholders, drafting client-ready artifacts, supporting the creation of AI test environments and AI Impact Assessments, and assisting with testing methodology documentation. | — | 5 |
| Manager, IT Strategy Growth and Transformation Manager in IT Strategy Growth and Transformation at Deloitte, focusing on Engineering Transformation EaaS - AI & Engineering. The role involves leading digital transformation initiatives for commercial sector clients, advising executives, managing global teams, and overseeing project delivery. The position emphasizes modernizing technology and data platforms, and leveraging AI to streamline business processes and create efficiencies. | — | 5 |
| Senior Consultant, Industry Solutions, Investment Management - Aladdin This role is for a Senior Consultant in Deloitte's AI & Engineering team, focusing on Industry Solutions for Investment Management using the Aladdin platform. The position involves transforming technology platforms, driving innovation, and helping clients improve financial performance and execute mission-critical operations. The candidate will work with clients in the asset, wealth, and investment advisory sectors, requiring experience in strategic business and technology transformations, executive relationship building, and implementing the Aladdin platform. | — | 5 |
| Databricks Data Engineering Manager Lead Data Engineer II role focused on delivering data and AI programs using the Databricks Platform, managing teams, building client relationships, and driving strategic direction in data engineering, BI, and AI/ML. Responsibilities include program leadership, client relationship management, team development, strategic solution design, and technical oversight with a focus on Databricks features like Unity Catalog, MLOps, Agent Bricks, Model Serving, and Genie. | ServeData | 5 |
| Sr. Data Scientist This role is for a Sr. Data Scientist at Deloitte, focusing on performing analytics using data science techniques, working with business stakeholders, and telling stories from data. The role involves collaborating with engagement managers and functional/technical teams, leading client engagement workstreams for improvement and optimization, and implementing leading practice workflows. The team, AI & Engineering, builds and deploys integrated sector solutions powered by data, AI, and hybrid cloud infrastructure. The position requires 6+ years of experience in analytics and strategy, strong business acumen, SQL, R or Python, data visualization tools, and knowledge of Applied Statistical/ML techniques. A Bachelor's degree in a quantitative or social science field is required. | — | 5 |
| Illicit Finance Intelligence Analyst This role involves supporting the development and delivery of data analytics methodologies for illicit finance investigations, leveraging advanced data, AI, and emerging technologies. Responsibilities include refining analytical software, operating in a dynamic environment, developing training materials, analyzing transaction data, and creating intelligence products. The role requires experience with technology-enabled data analysis for investigations and a strong understanding of risk and compliance within a regulated environment. | — | 5 |
| Delivery Management Engineer II Delivery Management Engineer II role focused on AI & Engineering, involving product/service lifecycle management, CI/CD pipeline design, technical project management, and containerization/orchestration for AI, GenAI, and Cloud platform programs. | Serve | 5 |
| Full Stack Software Engineer III Full Stack Software Engineer III role within Deloitte's AI & Engineering team, focusing on transforming technology platforms and delivering innovative solutions for clients. The role involves leading development teams, designing and developing software systems, analyzing requirements, integrating software, and managing deliverables. While the core role is full-stack software engineering, there is a preferred experience with Gen AI, Agentic AI, and ML/NLP environments, indicating an exploratory engagement with AI technologies within client solutions. | — | 5 |
| Manager, Functional Transformation Manager role focused on functional transformation within the health ecosystem, specifically in marketing and content supply chain transformation programs. Requires experience with marketing technology platforms and some exposure to Generative AI, LLMs, or AI/ML concepts. The role involves leading workstreams, managing delivery, translating business requirements, and collaborating with various teams to implement solutions. | — | 5 |
| Lead Business Transformation Architect This role focuses on translating business needs into AI/ML roadmaps and designing scalable cloud architectures for AI solutions. It involves leading the deployment and integration of AI models and applications on cloud platforms, managing the necessary cloud infrastructure, and overseeing security, compliance, cost, and performance aspects. The role requires experience with AI/ML concepts, cloud platforms, and technology architecture, with a focus on deploying AI solutions in cloud environments. | Serve | 5 |
| Manager – Digital Assets - AML/KYC/BSA Knowledge Manager role focused on Anti-Money Laundering (AML), Know Your Customer (KYC), and Bank Secrecy Act (BSA) compliance within the digital assets sector. The role involves leading client projects, assessing and implementing AML/KYC controls, using blockchain analytics platforms, identifying risk typologies, and collaborating on business development. It emphasizes subject matter expertise in financial crime prevention and regulatory requirements for crypto businesses. | — | 5 |
| Manager Manager role in Deloitte's AI & Engineering practice focused on transforming enterprise data platforms for analytics and AI readiness. Responsibilities include leading Oracle-powered data services, managing AI readiness efforts, overseeing modernization, directing master data management, and leading teams in designing data pipelines and architectures. | — | 5 |
| ConvergeHEALTH - Data Operations Engineer, Expert Services-Innovation_Delivery_Transformation Data Operations Engineer on Converge for Healthcare's Expert Services team, responsible for designing and operating cloud-native data pipelines that turn healthcare data into decision-ready analytics. This role involves data integration, validation, profiling, quality assurance, and enabling analytics through BI dashboards and ML Lab workflows. The engineer will also focus on automation, orchestration, and collaborating on product evolution, using emerging AI tooling and LLM-enabled data exploration. | Data | 5 |
| ConvergeProsperity - Product Forward Deployed Engineer, BankingSuite (Manager) - Innovation_Delivery_Transformation This role is for a Forward Deployed Engineer (FDE) in Deloitte's Converge for FSI business, specifically for the BankingSuite platform. The FDE will work directly with strategic clients in the financial services sector to understand their technical challenges and help them design and implement solutions using Deloitte's platform. Responsibilities include client engagement, technical advisory, solution design, building proofs-of-concept, conducting workshops, and providing feedback to internal product teams. The role requires deep expertise in Java, Spring Boot, event-driven architecture, microservices, and multi-cloud environments, with exposure to Agentic AI frameworks and LLM integration patterns. | Agent | 5 |
| ConvergeProsperity - Product Forward Deployed Engineer, Insurance Growth Suite (Manager) - Innovation_Delivery_Transformation This role is for a Forward Deployed Engineer (FDE) who will work directly with clients in the financial services sector to understand their technical challenges and implement solutions using Deloitte's platform. The FDE will be responsible for client engagement, technical advisory, solution design, building proofs-of-concept, and conducting technical workshops. The role requires expertise in Java, Spring Boot, event-driven architecture, microservices, and multi-cloud environments, with exposure to Agentic AI frameworks (LangGraph, LangChain) and LLM integration patterns. | Agent | 5 |
| Financial Risk Senior Consultant This role is for a Financial Risk Senior Consultant at Deloitte, focusing on helping financial services clients navigate business, technological, and regulatory challenges. The role involves identifying and evaluating risks, staying updated on technology trends like AI, collaborating on client deliverables, and supporting business development. While AI is mentioned as a trend to stay current on, the core responsibilities are in financial risk consulting and not directly building or deploying AI models. | — | 5 |
| Agentic Software Engineer III Software Engineer III role focused on supporting AI-assisted software delivery across the SDLC, helping teams translate requirements into structured workflows, validate outputs, and deliver high-quality technology solutions using AI tools. | Agent | 5 |
| Senior Consultant – Capital Markets Surveillance This role is for a Senior Consultant in Capital Markets Surveillance at Deloitte. The primary focus is on assisting clients with their 1st and 2nd lines of defense supervision and surveillance programs, specifically in detecting and preventing market abuse, insider trading, and other trading anomalies. While AI/ML is mentioned as a relevant technology trend, the core responsibilities revolve around regulatory knowledge, analytical skills, and technology expertise in the context of financial services operations and risk management. The role involves client interaction, project leadership, business development, and risk assessment. | — | 5 |
| Salesforce Technical AI Engineer (Delivery Management Engineer III) This role is for a Technical Manager specializing in Salesforce, focusing on leading the design, development, and deployment of sophisticated solutions that leverage Salesforce Public Sector Solutions and emerging capabilities like Agentforce. The role involves establishing CI/CD pipelines and DevOps processes, embedding GenAI and modern AI practices into the development lifecycle, and operating across the full technology stack. The candidate will work directly with senior government clients, providing technical leadership and translating requirements into scalable solutions. Experience with AI tools like Claude Code and GitHub Copilot is required, along with hands-on experience with large-scale data platforms. | Ship | 5 |
| Salesforce Technical AI Manager (Engineering Delivery Manager II) Technical Manager specializing in Salesforce for Deloitte's government sector practice. The role involves leading the design, development, and deployment of solutions leveraging Salesforce, including emerging capabilities like Agentforce, within secure government environments. It requires hands-on leadership, embedding GenAI and modern AI practices into the development lifecycle, managing CI/CD pipelines, and working across the full technology stack with a focus on customer relationship management and data platforms. | Ship | 5 |
| Lead Agentic Software Engineer II Lead Software Engineer II on the Deloitte Government & Public Services AI & Data team responsible for leading intake, prioritization, sequencing, and delivery planning across AI-enabled software and engineering workstreams. Translates stakeholder objectives into actionable requirements, user stories, acceptance criteria, and delivery plans. Coordinates dependencies across technical teams and stakeholders to maintain delivery flow and resolve blockers. Oversees quality, completeness, and readiness of deliverables before release to client stakeholders. Guides teams on software development life cycle practices, prompt engineering approaches, systems thinking, and delivery execution. | Agent | 5 |
| Manager - AI SOC Manager role focused on designing and implementing AI-enabled security operations solutions, including SOAR, detection engineering, and automation, for client environments. The role involves translating operational requirements into production-ready security capabilities and guiding the application of AI to use cases like triage assistance and response recommendations. | Agent | 5 |
| Senior Consultant - AI SOC This role focuses on designing and implementing security operations solutions, including AI-enabled workflows, automation playbooks, and data pipelines for security information and event management (SIEM) and security orchestration, automation, and response (SOAR) platforms. The goal is to improve analyst efficiency, alert quality, and response speed within client security operations centers. | Agent | 5 |
| Consultant - AI SOC This role focuses on implementing and configuring security operations solutions, including AI-enabled workflows, within client environments. Responsibilities include developing log ingestion, normalization, and enrichment pipelines, building automation playbooks and integrations, and applying AI/ML/LLM workflows to security use cases. The primary focus is on enhancing security monitoring, detection, response, and automation capabilities. | Agent | 5 |
| Forward Deployed Engineer (FDE) Manager Manager for Forward Deployed Engineers (FDE) at Deloitte, focusing on leading the design, build, and deployment of cybersecurity and AI-enabled solutions for clients. The role involves technical leadership, client delivery, and supporting pursuits, with a requirement for experience in building and deploying generative AI or LLM solutions in production environments. | Ship | 5 |
| Manager - Data Science / Data Lake Manager role focused on designing and modernizing cyber data, analytics, and security operations capabilities for clients, applying AI/ML and data engineering to cybersecurity use cases like detection engineering and threat hunting. Requires experience with cyber data platforms, cloud technologies, and AI development tools. | Data | 5 |
| Agentic Software Engineer III Software Engineer III on the AI & Data team responsible for breaking down requirements into tasks for AI agent teams, orchestrating delivery, and validating AI-generated outputs for code quality, security, and compliance. Supports public sector clients with technology modernization. | Agent | 5 |
| Data Foundations Engineer Designs and scales modern data architectures powering Wallet, Payments, and Commerce products. Focuses on building high-performance data pipelines and enabling analytics and ML use cases, with strong fundamentals in data modeling and scalable systems. Requires experience with data engineering for analytics or ML systems, SQL, Python/Scala/Java, Spark, Kafka, Airflow, data modeling, lakehouse architectures, cloud platforms (AWS/Azure/GCP), Snowflake/Databricks, CI/CD, data observability, MLOps, GenAI/RAG pipelines, and LLMs. Experience in FinTech, Wallet, or Payments domain is required. | DataAgent | 5 |
| Amazon Connect Manager, Technical Transformation Manages technical transformation projects for Amazon Connect, focusing on package integration and development. The role involves designing Amazon Connect services, leading onshore/offshore development teams, advising clients on AWS best practices, ensuring project quality, and identifying new sales opportunities. It emphasizes client relationships, project leadership, and cloud-based solutions on AWS. | — | 5 |
| Technical AI Instructor and Forward-Deployed Engineer III This role focuses on teaching technical AI skills, engaging in early-stage engineering work, and incubating innovative AI products. It involves rapid prototyping with generative AI tools, developing and delivering training programs on AI technologies, and collaborating with cross-functional teams to design and implement AI solutions. The role also includes client-facing responsibilities and internal enablement. | Ship | 5 |
| Amazon Connect Technical Architect, Associate Vice President This role is for an Amazon Connect Technical Architect, Associate Vice President at Deloitte, focusing on leading enterprise package transformation programs that modernize sales, service, and customer-facing operations. The role involves shaping client strategies, operating models, and implementation roadmaps for package-enabled transformation initiatives, overseeing program delivery across various workstreams, and building executive-level client relationships. While the role mentions Generative AI and AI in customer service, its core focus is on the architecture and implementation of cloud-based solutions (AWS) and contact center technologies like Amazon Connect, rather than direct AI/ML model development. | — | 5 |
| PU&R Contact Center Operations and Transformation Manager Manager role focused on transforming contact center operations for Power, Utilities & Renewables clients, leveraging AI, Generative AI, conversational AI, and agent assist to improve efficiency, customer experience, and data-driven service delivery. Responsibilities include assessing current operations, designing future-state models, developing transformation strategies, and implementing AI-powered solutions. | Agent | 5 |
| Agentic Software Engineer II Software Engineer II role focused on supporting AI-assisted software delivery across the SDLC, breaking down requirements for agent-assisted workflows, executing development tasks, and reviewing agent-generated outputs. Requires experience with AI-assisted development tools and reviewing code/tests. | Agent | 5 |
| Reliability & Maintenance Digital Transformation Senior Manager Architect - Downstream/Chemicals Senior Manager Architect role focused on digital transformation in reliability and maintenance for the downstream/chemicals industry. The role involves architecting solutions using IoT, AI, and digital twins to improve equipment reliability, assess and define future-state maintenance processes, and integrate these technologies into existing IT environments. Collaboration with clients and sales teams is key, as is delivering complex projects and contributing to practice innovation. | Serve | 5 |
| Contact Center Operations Generalist, Business Transformation Architecture This role focuses on leading client-facing transformation efforts to modernize contact center operations using AI-enabled service capabilities. The generalist will advise on target operating models, process redesign, and the adoption of CCaaS platforms and AI features like agent assist, summarization, and intelligent routing, aiming for measurable business outcomes in customer experience and efficiency. | Agent | 5 |
| AI Technical Project Lead – SFL Scientific This role is for an AI Technical Project Lead at Deloitte's SFL Scientific business, focusing on managing the day-to-day execution of AI and consulting initiatives. The role involves translating business priorities into work, managing cross-functional technical teams, and communicating with clients and leaders. It emphasizes strategic planning, data strategies, AI governance, and establishing data science environments to deliver AI products and services. The team works on a variety of AI use cases, including predictive and generative AI, for clients across different sectors. | Ship | 5 |
| Databricks Engineering Consultant This role focuses on engineering data pipelines and solutions on the Databricks platform, including supporting the development and deployment of machine learning solutions. It involves implementing end-to-end Databricks solutions across data ingestion, transformation, governance, and deployment on major cloud platforms. | — | 5 |
| Profitability & Costing Senior Consultant This role focuses on finance transformation, specifically profitability and costing, within Deloitte. While it mentions leveraging AI-enabled tools and developing solutions with AI technologies, the core craft is not building AI/ML models but rather applying them to financial processes and using existing financial modeling tools. The primary focus is on financial analysis, modeling, and client engagement within a finance transformation context. | — | 5 |
| Palantir AI and Data Science Engineer This role focuses on designing and building modern data architecture, data pipelines, and workflows using Palantir Foundry and cloud technologies. The engineer will develop analytics products and applications, integrate and operationalize enterprise data, and apply DevOps and statistical programming tools to improve data quality and platform performance. The role is within Deloitte's AI & Engineering team, supporting enterprise transformation and mission-driven outcomes, primarily for government and public sector clients. | — | 5 |
| ServiceNow - Moveworks Senior Consultant This role focuses on implementing and configuring the Moveworks AI Assistant and AI agents to automate employee support workflows within enterprise functions like HR and IT. It involves leading implementation projects, designing user journeys, configuring AI agents and integrations, and collaborating with stakeholders to deliver AI-powered employee experience solutions. | Agent | 5 |
| ServiceNow - Moveworks Consulting Manager Manager role focused on leading AI-powered employee experience engagements using the Moveworks platform, involving implementation, expansion, and optimization for Fortune 500 clients. Responsibilities include project management, client interaction, workshop facilitation, and overseeing integration with enterprise systems like ServiceNow and Workday. | Agent | 5 |
| Senior Consultant - Data Science / Data Lake This role involves applying AI/ML and data engineering to cybersecurity use cases, focusing on designing and modernizing cyber data, analytics, and security operations capabilities. It requires experience with AI development tools, data preparation, and working with cyber data platforms and cloud technologies. | AgentData | 5 |
| Consultant - Data Science / Data Lake This role involves applying AI, ML, and data engineering methods to cybersecurity use cases like detection engineering and threat hunting. It focuses on modernizing cyber data environments and improving data operations for clients. The role requires experience with AI development tools (e.g., vector databases, LangChain), data preparation, feature engineering, and visualization using languages like Python, SQL, R, or SAS, within a client-facing consulting context. | Data | 5 |
| Senior Consultant – Product Quality & Safety – Life Sciences & Healthcare This role focuses on Product Quality & Safety within the Life Sciences & Healthcare sector, specifically within Deloitte's Enterprise Operations & Risk offering. The Senior Consultant will support clients in regulatory affairs and quality assurance strategy, operating model, process, and governance improvements. Responsibilities include conducting due diligence for M&A, assessing and remediating quality management system gaps, supporting inspection readiness, and helping design/implement RA/QA technology enablement. A key requirement is experience in the application of artificial intelligence (AI) tools and techniques to deliver measurable business outcomes, such as automation, analytics, and decision support, within a regulated healthcare context. | — | 5 |
| Technical AI Instructor and Forward-Deployed Engineer II This role focuses on teaching technical AI skills, engaging in early-stage engineering work, and incubating innovative AI products. It involves rapid prototyping with generative AI tools and client-facing responsibilities. | Ship | 5 |