This role focuses on developing and architecting Generative AI solutions, evaluating and selecting AI tools, building and training models using Python and open-source technologies, and designing generative models with various architectures. The role also involves training users on AI principles and model interaction, and building ML-enabled features for client business processes.

This role focuses on developing and architecting Generative AI solutions, evaluating and selecting AI tools, building and training models using Python and open-source technologies, and designing generative models with various architectures. The role also involves training users on AI principles and model interaction, and building ML-enabled features for client business processes.

AI Engineer Consultant role focused on building and operating data, features, and GenAI foundations for Human Capital AI products. Responsibilities include designing and deploying AI solutions, building LLM-enabled products, implementing RAG patterns, delivering governed data and features for ML/GenAI, and driving engineering excellence with a focus on trust, safety, governance, and cost optimization.

Forward Deployed Engineer specializing in building and deploying GenAI/LLM-powered solutions for enterprise clients using Snowflake platforms. The role involves client engagement, solution engineering, and delivering production-quality AI applications.

Lead engineer responsible for deploying GenAI solutions into production for clients, leading engineering pods, architecting LLM applications, governing RAG pipelines, and defining evaluation frameworks. Requires hands-on experience with OpenAI technologies and leading project workstreams.

Lead Google Forward Deployed Engineer for Deloitte's Government & Public Services practice, focused on designing, developing, and deploying GenAI solutions (LLM-enabled applications, agentic workflows, knowledge search) into production for clients. This role involves leading engineering pods, setting technical direction, and hands-on system design, review, and debugging, with a strong emphasis on RAG pipeline architecture and evaluation frameworks.

Lead Palantir Forward Deployed Engineer responsible for architecting and delivering GenAI solutions, including LLM-enabled applications, agentic workflows, and RAG pipelines, in production environments for clients. This role involves leading engineering pods, setting technical direction, and ensuring quality through evaluation frameworks.

Lead engineer responsible for deploying GenAI solutions for clients, including architecting LLM applications, managing RAG pipelines, and defining evaluation frameworks. Requires hands-on experience with Anthropic's Claude API and leading engineering pods.

Senior OpenAI Forward Deployed Engineer for Deloitte's Government & Public Services practice, focusing on building and deploying GenAI-enabled solutions and agentic platforms for clients. Requires strong software engineering skills, experience with OpenAI technologies, and client-facing engagement.

Lead Forward Deployed Engineer for Microsoft AI & Data at Deloitte, focusing on building and deploying GenAI solutions for enterprise clients. The role involves client engagement, pod leadership, architecting LLM-enabled applications, RAG pipelines, and defining evaluation frameworks. Requires hands-on experience with GenAI/LLM solutions and Azure AI Foundry.

Lead Forward Deployed Engineer for Frontier GenAI at Deloitte, responsible for leading pods that develop and deploy GenAI solutions into production for enterprise clients. This role involves technical direction, hands-on system design, debugging, client relationship management, and ensuring delivery standards for LLM-enabled applications, agentic workflows, and RAG pipelines.

Lead Forward Deployed Engineer at Deloitte, focused on deploying GenAI solutions for enterprise clients using Palantir platforms. This role involves leading engineering pods, architecting LLM applications, managing RAG pipelines, and defining evaluation frameworks, with a strong emphasis on client-facing engagement and technical leadership.

Lead Forward Deployed Engineer for AWS at Deloitte, focusing on building and deploying Generative AI solutions for enterprise clients. This role involves leading engineering pods, architecting LLM applications, managing RAG pipelines, and defining evaluation frameworks for production environments on AWS.

Senior Forward Deployed Engineer focused on building and deploying GenAI-enabled solutions for enterprise clients. The role involves translating business needs into AI use cases, prototyping, delivering working software, and contributing to sales and delivery support. It emphasizes building agentic platforms, workflows, and applying AI engineering patterns with a focus on quality, safety, latency, and cost.

Deloitte is seeking a Forward Deployed Engineer specializing in Frontier Generative AI. This role involves embedding with clients to prototype and deliver high-impact GenAI-enabled solutions, focusing on building agentic platforms and workflows across enterprise AI platforms. Responsibilities include translating business needs into AI use cases, developing scalable AI engineering patterns, and ensuring production-quality code with strong testing and CI/CD practices.

Senior Forward Deployed Engineer at Deloitte focused on building and deploying enterprise-scale GenAI solutions and agentic platforms for clients. The role involves client engagement, solution engineering, and applying AI/ML expertise to solve business problems, with a strong emphasis on delivering production-quality code and scalable AI patterns.

Deloitte is seeking a Forward Deployed Engineer to help clients turn AI ambition into enterprise-scale impact by building and deploying GenAI-enabled solutions, agentic platforms, and workflows. The role involves client engagement, solution engineering, and delivering production-quality code using strong practices.

GenAI Solution Engineer role focused on embedding with client teams to build and deploy LLM-enabled applications, including copilots, assistants, and knowledge search. The role involves rapid prototyping, writing production-quality code, integrating LLMs via APIs, building data pipelines for LLM use cases, and implementing RAG and evaluation approaches. It also includes coaching client teams and creating reusable assets.

Manager role leading teams to deliver end-to-end Generative AI (GenAI) solutions, including RAG and agentic AI, from strategy through build, deployment, and adoption. Responsibilities include designing, building, and implementing custom AI/GenAI solutions, architecting agentic AI systems, leading RAG implementations, driving GenAI model build activities, overseeing deployment, and leading development pods.

Full-Stack Software Engineer focused on designing, building, and scaling production-grade GenAI applications for the healthcare industry. The role involves working with modern front-end and backend frameworks, AI orchestration layers, RAG, agentic workflows, and multi-agent architectures within cloud-native environments.

Senior Consultant role focused on designing, building, and deploying end-to-end Generative AI (GenAI) solutions for enterprise clients. This includes RAG, multi-agent orchestration, real-time AI task pipelines, and knowledge graph integration, with a strong emphasis on scalability, security, and governance within regulated environments. The role involves full-stack development (Python/FastAPI, Node.js, React) and operationalization of AI deployments.

Product Manager for Deloitte's Zora AI agent platform, focusing on defining vision, roadmap, requirements, and delivery for role-/function-specific AI agent-enabled products. The role involves owning product strategy, translating needs into outcomes, leading discovery and delivery, defining product requirements for agent behaviors and integrations, driving data and integration requirements, managing trustworthy AI and risk, and supporting go-to-market efforts.

Manager role focused on leading and delivering Agentic AI solutions for clients, involving design, development, and operation of AI platforms and products. Requires strong experience in Generative AI, multi-agent systems, Python, and cloud-based AI services (Azure, AWS, GCP). Emphasis on client-facing delivery, team management, and business development.

This role focuses on translating business and cybersecurity needs into technical solutions, specifically deploying AI/GenAI-enabled capabilities for clients. The engineer will work on building and deploying GenAI/LLM-powered solutions using platforms like Anthropic, Google, or OpenAI, and support end-to-end technical delivery.

Manager role focused on implementing Physical and Spatial AI solutions for clients, leveraging digital twin, spatial intelligence, and OT modernization. Experience with NVIDIA and Google Cloud Platform ecosystems is crucial. The role involves advising clients, translating business needs into technical strategies, architecting solutions, and implementing AI capabilities into operational workflows.

Senior Consultant FDE role focused on designing, building, and deploying AI/GenAI-enabled cybersecurity solutions for clients. Involves translating client needs into technical solutions, hands-on engineering with GenAI platforms, and contributing to deal shaping and product feedback.

Data Science Consultant role focused on building and supporting marketing data science solutions for clients, involving end-to-end data problem solving, from understanding business goals to translating them into ML use cases, model design, exploratory data analysis, feature transformation, model interpretation, and proof of concept development. The role also involves working with data engineering teams and clients to ensure solutions perform as expected.

Lead the design, implementation, deployment, and support of AI/ML, analytics, automation, and generative AI solutions for client programs. Translate business and functional requirements into technical plans, solution components, and production-ready workflows. Oversee the development of data pipelines, model integration, validation processes, and other scalable technical assets. Manage delivery workstreams and guide teams in using Python, SQL, cloud platforms, and modern data tools to solve business problems. Define and monitor KPIs related to solution quality, model performance, data health, adoption, and business impact. Mentor junior practitioners and partner with client and internal stakeholders to drive execution, communicate progress and risks, and promote responsible, repeatable delivery practices.

This role focuses on leading delivery workstreams using AI-assisted and multi-agent development approaches within the software development lifecycle. The engineer will orchestrate agent-enabled workflows, coordinate cross-functional execution, and ensure outputs meet quality, architecture, and compliance standards. Responsibilities include decomposing requirements into workflows and prompts, coordinating end-to-end execution, driving quality, reviewing agent-generated outputs, and coaching junior practitioners.

Product Support Manager role focused on leveraging AI agents to automate workflows, enhance user experiences, and improve product support. The role involves owning the product backlog, designing and delivering AI solutions, leading cross-functional teams, conducting root cause analysis, and ensuring system resilience and adherence to standards like SOC2.

Manager role focused on leading teams in delivering cyber analytics, AI, and security operations solutions. This involves architecting and deploying AI/ML technologies for cyber defense, managing data platforms, and guiding clients on their AI/Analytics journey, with a strong emphasis on using AI development tools and techniques for cybersecurity use cases.

Senior GenAI Engineer role focused on integrating AI models with cloud platforms, developing GenAI enhancements, implementing RAG, designing guardrails, delivering agentic workflows, and optimizing prompt engineering for client success within Deloitte's Government & Public Services practice. Requires experience with GenAI concepts, Python, and object-oriented programming, along with a security clearance.

This role involves working at the intersection of cybersecurity, advanced cyber data engineering, and the use of AI/ML for cyber defense and operations. The consultant will design and modernize cyber data and analytics programs, harness AI technologies, enable day-to-day operations of data platforms, and mature AI/Analytics journeys. The role requires experience with AI development tools like vector databases and frameworks (LangChain, CrewAI), statistical analysis, ML, data mining, and using programming languages like Python and SQL for data science workflows. Experience with cyber security cloud platforms and SOC threat hunting/incident response is also mentioned.

GenAI Engineer role at Deloitte focused on developing and implementing GenAI solutions for clients, including agentic workflows, RAG architectures, and prompt engineering. Requires experience with AI models, cloud platforms, and Python.

This role focuses on building and modernizing cyber data and analytics programs, leveraging AI and ML for cyber defense and operations. It involves working with cyber security cloud platforms, data platforms, and AI development tools like vector databases and frameworks. The role requires experience in statistical analysis, machine learning, data mining, and preparing data for analysis using languages like Python and SQL, with a focus on cyber specific use cases.

AI Engineer Senior Consultant role focused on building and operating data, features, and GenAI foundations for Human Capital AI products. Responsibilities include designing, building, and running the data/feature/retrieval layer, operationalizing LLM-enabled capabilities using models like Claude/GPT/Gemini, implementing RAG patterns, delivering governed datasets for ML training and inference, and establishing reliability, security, and cost-performance discipline. The role involves MLOps/LLMOps and production operations.

Lead Forward Deployed Engineers (FDE) to build and deploy GenAI solutions into production for enterprise clients, focusing on LLM-enabled applications like copilots and agentic workflows. This role involves client-facing leadership, pod management, and hands-on architecture and delivery of RAG pipelines and evaluation frameworks.

Senior Forward Deployed Engineer at Deloitte focused on building enterprise-scale GenAI solutions, agentic platforms, and workflows. The role involves client engagement, translating business needs into AI use cases, prototyping, and delivering working software with a focus on quality, safety, latency, and cost.

This role is for a Full-stack Senior Developer/Senior Consultant at Deloitte Cyber, focusing on building and deploying AI, Generative AI, or Agentic AI solutions and architectures within enterprise applications on cloud platforms (AWS, Azure, GCP). The role requires hands-on experience in full-stack development, object-oriented programming, API development, databases, and cloud deployment, with a strong emphasis on integrating AI capabilities into cybersecurity services.

Cybersecurity engineering role focused on translating business needs into technical solutions, including AI/GenAI capabilities, and deploying them for clients. Involves pre-sales support, deal shaping, and contributing to product feedback. Requires hands-on experience with GenAI platforms and full-stack development.

Senior Consultant role focused on operationalizing responsible AI, particularly agentic AI and LLM-enabled applications. The role involves designing governance operating models, building AI system inventories, conducting risk assessments, establishing technical control guidance, integrating governance into the SDLC, and implementing evaluation/monitoring workflows. Requires experience in AI governance, data privacy, security risk management, and software development fluency.

This role focuses on building and operating governed data foundations for cyber risk, compliance evidence, and agentic AI-enabled cyber workflows. The engineer will design production-grade pipelines and services for risk reporting, controls monitoring, and AI-assisted security operations, emphasizing strong governance, lineage, privacy, and auditability in regulated enterprise environments. Key responsibilities include building data pipelines, designing data models for risk/controls, implementing governance controls, developing AI-enabled capabilities using agentic patterns (RAG, tool calling, orchestration), engineering secure integrations, and partnering with stakeholders.

Lead engineer for deploying GenAI solutions using Snowflake's AI capabilities for government and public sector clients. Focuses on architecting and delivering LLM applications, agentic workflows, and RAG pipelines, while also overseeing inference and evaluation aspects.

Lead engineer to design, build, and deploy GenAI solutions (LLM-enabled applications, agentic workflows, RAG pipelines) into production for clients using AWS. Focus on technical direction, delivery, and client-facing relationships.

Senior Google Forward Deployed Engineer (FDE) for Deloitte's AI & Engineering team, focusing on building and deploying GenAI-enabled solutions, agentic platforms, and workflows for clients. The role involves client engagement, solution engineering, and contributing to sales and delivery support, with a strong emphasis on rapid prototyping and delivering measurable business impact.

Lead Databricks Forward Deployed Engineer for Deloitte's Government & Public Services (GPS) practice, focusing on developing and deploying GenAI solutions for clients. This role involves architecting and overseeing the delivery of LLM-enabled applications, including copilots and agentic workflows, using enterprise AI platforms. It requires strong client-facing skills, pod leadership, and hands-on experience with Databricks technologies like DBRX, MLflow, and Vector Search. The role also encompasses governing RAG pipelines, defining evaluation frameworks, and ensuring production-grade quality, scalability, and cost-effectiveness.

Senior Palantir Forward Deployed Engineer focused on building and deploying GenAI-enabled solutions, agentic platforms, and workflows for enterprise clients. The role involves client engagement, solution engineering, and applying AI/ML principles to solve business problems.

Senior Snowflake Forward Deployed Engineer (FDE) for Deloitte's Government & Public Services (GPS) practice, focusing on building and deploying GenAI-enabled solutions, agentic platforms, and workflows for clients. The role involves client engagement, solution engineering, and delivering production-quality AI solutions using Snowflake technologies like Cortex AI, Cortex LLM Functions, and Arctic Embed. Requires strong software engineering, data engineering, or analytics engineering experience with a focus on GenAI/LLM deployment.

Senior Forward Deployed Engineer for Deloitte's Government & Public Services practice, focusing on building and deploying GenAI-enabled solutions and agentic platforms for clients. The role involves client engagement, solution engineering, and mentoring, with a requirement for hands-on experience with Anthropic's technologies and deploying AI solutions in production environments.

Senior AWS Forward Deployed Engineer focused on building and deploying GenAI-enabled solutions and agentic platforms for enterprise clients. The role involves translating business needs into AI solutions, developing scalable AI engineering patterns, and applying architecture decisions for quality, safety, latency, cost, and model risk. Requires strong software engineering practices, experience with AWS (Bedrock, Bedrock Agents, Knowledge Bases, Guardrails), and client-facing engagement.