Senior Consultant role focused on architecting and deploying generative AI solutions within the finance function for a consulting firm. Responsibilities include collaborating with clients to pilot and implement AI technologies, translating technical designs into roadmaps, and assisting in the delivery of AI-enabled solutions. Requires strong understanding of finance business processes and technical expertise in generative AI across the full technology stack.

Manager-level Forward Deployed Engineer for Deloitte's Cyber team, focusing on integrating AI and automation into Security Operations (SecOps) for clients. The role involves designing and implementing SIEM, SOAR, detection engineering, and AI-enabled workflows to improve analyst efficiency, alert fidelity, and response speed. Responsibilities include client-facing embedded engineering, rapid solution prototyping, leading log ingestion pipelines, developing threat detection content, automating SOC processes, building integrations, and optimizing case management. A key aspect is applying AI/automation to use cases like triage assistance, alert summarization, knowledge retrieval, and workflow orchestration, while also defining guardrails and evaluation criteria for these AI-enabled security workflows.

This role focuses on applying AI and automation to enhance Security Operations (SecOps) use cases, such as triage assistance, alert summarization, knowledge retrieval, workflow orchestration, analyst copilots, and response recommendations. The engineer will design and implement AI-enabled workflows, define guardrails, and ensure reliability and operational usefulness of these AI solutions within client environments.

This role focuses on applying AI and automation to enhance Security Operations (SecOps) use cases, including triage assistance, alert summarization, knowledge retrieval, workflow orchestration, analyst copilots, and response recommendations. The Senior Consultant will design and implement security engineering solutions, embed with client teams, and build integrations and automation using Python, with a focus on AI-enabled workflows and guardrails.

Deloitte is seeking an AI Forward Deployed Engineer (FDE) to lead the delivery of cybersecurity and AI-enabled solutions for clients. This role involves translating business needs into technical solutions, deploying GenAI/LLM-powered capabilities, and guiding teams on AI architecture and integration. The FDE will also be involved in pre-sales activities, customer delivery leadership, and providing product feedback.

This role focuses on change management for AI implementations within the HR function, helping clients understand and adopt AI tools. Responsibilities include gathering requirements for AI use cases, designing AI tool demonstrations, and creating training materials to support adoption.

Technical Manager specializing in Salesforce to lead the design, development, and deployment of sophisticated solutions leveraging Salesforce Public Sector Solutions and emerging capabilities like Agentforce. This role involves establishing CI/CD pipelines, 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 complex mission requirements into scalable solutions. Experience with AI tools for development acceleration is required.

Senior Manager role in Life Sciences Market Access, focusing on pricing, reimbursement, and value communication. The role involves client-facing consulting, leading workstreams, partnering with stakeholders, and supporting practice growth. It requires experience in the US Life Sciences ecosystem and incorporating AI tools into daily workflows to enhance client experience and work quality.

This role is for a Life Sciences Market Access Manager at Deloitte, focusing on client-facing consulting for market access, pricing, and reimbursement engagements. The manager will lead workstreams, partner with client leaders, translate business questions into analyses, manage client relationships, and drive delivery excellence. The role also involves supporting practice growth and coaching teams. While the role uses AI-enabled tools to improve efficiency and insight generation, it does not involve designing or building AI technology.

Product Designer (Consultant) at Deloitte, focusing on designing intuitive, visually compelling digital experiences for clients. The role involves using AI-enabled tools and emerging technologies to accelerate the product design process, from discovery and concept development through prototyping and delivery. Responsibilities include collaborating with clients, creating design artifacts, supporting workshops, and integrating AI tools into ideation, prototyping, and testing.

Senior Consultant role focused on marketing analytics solutions, leveraging advanced analytics and Generative AI to enhance customer experiences and drive growth. Responsibilities include designing and executing analyses, audience segmentation, measurement frameworks, and data visualization using tools like Google Analytics, Adobe Analytics, and Tableau.

This role supports the AI Ready Workforce and AI Governance, Testing, and Evaluation workstreams, focusing on task execution, producing client-ready artifacts, and coordinating stakeholders. Key responsibilities include supporting the creation of AI testing environments and AI Impact Assessments, documenting testing methodologies to ensure compliance with client policies, and facilitating working sessions to translate inputs into usable products. The role also involves supporting the use of existing client-approved AI tools in a responsible manner.

This role is a Forward Deployed Engineer (FDE) for Deloitte's BankingSuite platform, focusing on financial services clients. The FDE will embed with clients to understand their technical challenges, design and implement solutions using the platform, and build proofs-of-concept. The role requires strong Java/Spring Boot, microservices, and cloud expertise, with exposure to Agentic AI frameworks (LangGraph, LangChain) and LLM integration patterns. The FDE will also act as a liaison between clients and internal product/engineering teams.

Data Operations Engineer for ConvergeHEALTH's Expert Services team, responsible for building and operating cloud-native data pipelines that integrate client healthcare data into Deloitte's Data Studio platform. This role involves data engineering, cloud operations, and applying AI tooling for analytics and anomaly detection, with a focus on creating reliable, decision-ready analytics from complex healthcare data.

Lead Data Expert for Deloitte's AI & Engineering team, focusing on Personnel & Readiness enterprise analytics. This role involves technical leadership in designing and implementing advanced analytics solutions, consultative solutioning, algorithmic innovation (forecasting models), data visualization, and stakeholder engagement. The position requires guiding teams in data wrangling, architecture, automation, and validation, with a focus on federal compliance standards and project lifecycle management. Experience with agentic infrastructure is also mentioned.

This role is for a Forward Deployed Engineer (FDE) who will work with enterprise clients in the financial services sector to design and implement solutions using Deloitte's platform. The FDE will act as a technical advisor, lead discovery sessions, design scalable solutions, build proofs-of-concept, and conduct technical workshops. The role requires expertise in Java, Spring Boot, microservices, event-driven architecture, and multi-cloud environments, with exposure to Agentic AI frameworks (LangGraph, LangChain), LLM integration patterns, and prompt engineering.

This role focuses on implementing AI/ML, analytics, and automation solutions for clients, with a specific emphasis on prompt engineering, RAG, and integrating generative AI and LLM-based solutions into business processes. The role involves building and maintaining data pipelines and applying software engineering principles to meet business needs within client environments.

This role focuses on delivering software solutions using AI-assisted and multi-agent development approaches throughout the SDLC. The Agentic Delivery Engineer will support the orchestration of agent-enabled workflows, focusing on technical quality, delivery consistency, and deployment readiness. Responsibilities include breaking down requirements for agents, executing SDLC activities, reviewing agent-generated outputs, and contributing to CI/CD and DevSecOps.

Associate GenAI Engineer role at Deloitte, focusing on building and deploying GenAI solutions using LLMs and modern frameworks. The role emphasizes engineering craftsmanship, customer-centric development, and cross-functional collaboration to deliver high-quality, outcome-focused software solutions for Deloitte's business.

This role focuses on the IT and platform-centric implementation of Moveworks within the ServiceNow ecosystem, emphasizing deep workflow orchestration, integrations, and end-to-end solution architecture. The consultant will design and deliver AI-powered experiences that automate IT use cases by turning employee requests into completed work across enterprise systems, leveraging Moveworks' AI Assistant and Reasoning Engine with ServiceNow workflows and integrations.

This role focuses on teaching technical AI skills, engaging in early-stage engineering, and incubating innovative AI products. It involves rapid prototyping with generative AI tools and enabling both clients and internal teams.

Senior Manager responsible for originating, shaping, and closing new business while delivering high-impact transformation programs across the Content Supply Chain (CSC) and Marketing Technology ecosystem, with a focus on Life Sciences. This role involves leading pursuits, managing sales targets, developing new offerings, and leading large-scale transformation programs involving GenAI workflows.

Manager role focused on Marketing Technology and AI/ML enablement within the Life Sciences sector, involving program management, client solutions, and MarTech platform implementation. The role requires experience with GenAI, LLMs, or AI/ML concepts, and involves leading workstreams in marketing and content supply chain transformations.

This role focuses on designing, building, and managing AI solutions for clients on cloud platforms, bridging marketing strategy with technical execution. It involves creating scalable AI infrastructure, overseeing implementation, and ensuring solutions meet goals while managing complexity and stakeholders. The architect will drive AI strategy, design, development, deployment, and governance, focusing on cloud environments and AI services.

This role is for an AI Strategy Consultant within Deloitte's Government & Public Services practice. The consultant will guide clients through transformational initiatives, focusing on strategy and advisory services related to AI. Responsibilities include client training, requirements gathering for tech features, and translating AI concepts into actionable guidance. The role requires a Secret security clearance and experience with GenAI tools.

This role focuses on building and testing CI/CD pipelines for GenAI applications, managing Kubernetes clusters, and designing infrastructure-as-code templates. It involves working with platform engineers and product teams to enhance platform functionality and troubleshoot issues within a hybrid cloud environment, specifically for government clients.

This role focuses on teaching technical AI skills, engaging in early-stage engineering, and incubating innovative AI products. It involves client-facing responsibilities and internal enablement, with a focus on rapid prototyping using generative AI tools like GitHub Copilot, OpenAI, Anthropic, and Gemini.

Consultant role focused on implementing and optimizing the Databricks platform for clients, covering data engineering, data analytics, and machine learning model deployment. Requires hands-on expertise in Databricks, cloud platforms (AWS, Azure, GCP), SQL, Python, and Apache Spark.

Engineering Manager for Deloitte's AI & Engineering team, focusing on leading the delivery of data and AI programs using the Databricks Platform. Responsibilities include managing teams, client relationships, and strategic solution design across data engineering, BI, and AI/ML, with a focus on enterprise AI built on Databricks.

Senior Databricks Consultant role focused on designing and deploying enterprise solutions on the Databricks Platform, encompassing data engineering, data science, and business intelligence. The role involves architecting and implementing advanced solutions from data pipelines to AI/ML models, advising clients on data strategy, and mentoring junior team members. Experience with Databricks suite, cloud ecosystems, and MLOps principles is required.

Manager role at Deloitte focused on Life Sciences and Health Care, specifically involving Veeva Vault implementations and deploying AI/GenAI capabilities for regulatory content generation, regulatory intelligence, and clinical trial optimization. Requires consulting and Life Sciences industry experience, with a focus on Pharmaceutical R&D regulatory affairs functions.

This role focuses on leading the delivery of cybersecurity and AI-enabled solutions for clients, translating business needs into technical solutions, and managing customer delivery. It involves pre-sales, deal shaping, and ensuring the quality and scalability of deployed AI capabilities within a cybersecurity context.

Deloitte is seeking a Patient Services Delivery Lead (Senior Consultant) to help clients in the Life Sciences industry achieve transformation goals. This role involves interfacing between clients and implementation teams to identify and implement digital health solutions that improve patient outcomes, design and optimize patient support programs, define project roadmaps, and provide product and industry insights. The role also involves advising on the adoption of innovative technologies, preparing deliverables, presenting findings, and establishing relationships with key client end users. Experience with patient CRM and data/analytics solutions is required.

Senior Manager role focused on deploying AI/GenAI capabilities within the Life Sciences and Healthcare sector, specifically for regulatory content generation, regulatory intelligence, and clinical trial optimization. The role involves client management, business development, and leading engagement teams for digital transformations.

Senior Manager to lead enterprise-wide Application Management Services (AMS) engagements for Life Sciences clients (Biopharma/MedTech). The role involves driving operational transformation, managing global service delivery, and ensuring AI-first, future-ready managed services. Key responsibilities include leading AMS delivery, transition management, defining SLAs, embedding AI/automation, global program management, operational transformation, financial stewardship, executive stakeholder management, talent leadership, and risk/compliance management.

This role focuses on designing and documenting agentic solution archetypes, advising engineering teams, and researching market innovations in AI. It requires experience with enterprise/application architecture and a working understanding of agentic AI components, with a preference for prompt engineering and RAG experience.

This role focuses on securing AI and Machine Learning solutions on the Microsoft Azure platform, including implementing security for Azure AI Services, designing security playbooks for AI models, developing secure CI/CD pipelines for AI model deployment, and automating security guardrails. It involves a strong security focus within an enterprise consulting context.

This role focuses on leading the implementation and optimization of Moveworks, an AI-powered employee experience platform, for Fortune 500 clients. The consultant will manage client engagements, lead teams, drive solution design, and integrate Moveworks with enterprise systems like ServiceNow and Workday, focusing on automating employee support workflows through AI agents and conversational AI.

This role involves implementing and configuring supply chain planning systems using Kinaxis Maestro, leveraging AI and ML for advanced analytics and optimization. The consultant will manage solution delivery, including process design, data analytics, system configuration, and deployment, with a focus on integrating AI/ML capabilities into supply chain operations.

Data Foundations Engineer responsible for designing and scaling modern data architectures, building high-performance data pipelines, and enabling analytics and ML use cases. Focuses on data modeling and scalable systems within the Wallet, Payments, and Commerce products, with exposure to MLOps, GenAI/RAG, and LLMs.

Data Foundations Engineer responsible for designing and scaling modern data architectures, building high-performance data pipelines, and enabling analytics and ML use cases. The role requires strong fundamentals in data modeling, scalable systems, and experience with cloud platforms and data processing tools. Exposure to MLOps, GenAI/RAG pipelines, and LLMs is also required, with a focus on the FinTech, Wallet, or Payments domain.

Senior Data Scientist role focused on leading predictive modeling efforts for government and public sector clients, improving model performance, interpreting outcomes, and mentoring a team. The role involves applying statistical and machine learning techniques to solve business problems and deliver client advisory services.

Consultant role focused on marketing and advertising analytics, leveraging tools like Adobe CJA, Google Analytics, and Salesforce to analyze customer journeys, optimize strategies, and provide data-driven recommendations for clients. The role involves data strategy, measurement frameworks, and performance analytics within the consumer domain, with a mention of Generative AI as a technology the team uses.

Product Manager responsible for leading cross-functional teams to deliver agentic AI-enabled solutions within a product portfolio, focusing on customer problems and business needs. The role requires strategic vision, analytical skills, and collaboration to ensure product success from vision to execution.

Manager role focused on AML/KYC/BSA compliance in the digital asset sector, involving client project leadership, risk assessment, and implementation of controls using blockchain analytics platforms. The role emphasizes regulatory knowledge, team management, and business development within financial crime prevention.

Senior Consultant role focused on Anti-Money Laundering (AML), Know Your Customer (KYC), and Bank Secrecy Act (BSA) compliance within the digital asset ecosystem. The role involves advising clients on regulatory frameworks, identifying and mitigating risks associated with digital assets, guiding the deployment of blockchain analytics tools, and analyzing business processes to implement AML/KYC controls. It requires a strong understanding of financial crime and compliance, particularly in the context of blockchain and crypto markets.

Senior Consultant role focused on Product Quality & Safety within the Life Sciences & Healthcare sector, leveraging AI and emerging technologies to advise clients on regulatory affairs, quality assurance, and operational improvements. The role involves supporting clients with strategy, M&A due diligence, process improvements, system implementations (eQMS, RIM), and ensuring compliance with health authority requirements.

Manager responsible for overseeing end-to-end solution delivery for Kinaxis supply chain planning implementations, involving process design, data analytics, system configuration, and deployment. Requires expertise in optimization methods, statistical analysis, advanced mathematical modeling, and exposure to data science and advanced planning systems.

This role focuses on helping financial services clients navigate business, technological, and regulatory challenges related to financial risk. While it mentions leveraging 'advanced data, AI, and emerging technologies,' the core responsibilities involve risk identification, evaluation, mitigation strategies, and supporting client deliverables within the financial risk domain. The role is not directly building or shipping AI models but rather applying or advising on their use in a financial context.

Develops, implements, and maintains data pipelines and applies advanced data science techniques, including machine learning, spatial analysis, and time-series modeling, to extract insights for mission-critical operations. Builds, tests, and optimizes AI/ML solutions for integration into user-facing tools. Requires TS/SCI Polygraph clearance and 3+ years of experience in data engineering/analytics and 2+ years with Python and SQL.