Deloitte

Senior Databricks 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 best practices within the Databricks ecosystem.

This role focuses on building and deploying GenAI-enabled solutions, agentic platforms, and workflows within enterprise AI platforms, specifically using Snowflake technologies like Cortex AI. The engineer will prototype and deliver working AI solutions, develop scalable AI engineering patterns, and apply architecture decisions for quality, safety, latency, and cost. They will also contribute to production-quality code with strong practices in testing, CI/CD, logging, and documentation.

This role focuses on building and deploying GenAI-enabled solutions, agentic platforms, and workflows for clients, requiring hands-on experience with AWS GenAI services like Bedrock, Bedrock Agents, and Knowledge Bases. The engineer will translate business needs into AI solutions, develop scalable AI engineering patterns, and apply architecture decisions balancing quality, safety, latency, and cost.

This role focuses on building and deploying GenAI-enabled solutions and agentic platforms for enterprise clients, requiring software engineering skills, experience with OpenAI technologies, and the ability to translate business needs into AI solutions. The role involves client engagement, solution engineering, and delivering production-quality code.

The Google Forward Deployed Engineer (FDE) role at Deloitte focuses on building and deploying GenAI-enabled solutions and agentic platforms for enterprise clients. The role involves working closely with clients to identify use cases, prototype, and deliver working AI solutions, emphasizing scalable engineering patterns, tool-use approaches, and human-in-the-loop controls. The engineer will be responsible for delivering production-quality code with strong testing, CI/CD, and documentation practices, and will apply architecture decisions balancing quality, safety, latency, cost, and model risk.

This role focuses on building and deploying GenAI-enabled solutions, agentic platforms, and workflows within enterprise AI platforms for clients. The engineer will work closely with clients to identify needs, prototype, and deliver working AI solutions, applying architecture decisions for quality, safety, latency, and cost. Responsibilities include developing scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls, as well as contributing to production-quality code with strong practices in testing, CI/CD, and documentation.

This role focuses on deploying and engineering GenAI solutions, specifically using Anthropic's Claude models, for enterprise clients. The engineer will build AI-enabled solutions and agentic platforms, focusing on delivering production-quality code and integrating AI into client business processes. Experience with Anthropic's technologies and translating business needs into AI solutions is critical.

The role focuses on building and deploying GenAI-enabled solutions and agentic platforms for enterprise clients, requiring expertise in Databricks, LLM development, and solution engineering patterns. The engineer will prototype and deliver working AI solutions, focusing on integrating them into client business needs and ensuring quality, safety, and performance.

Lead Forward Deployed Engineer for Databricks at Deloitte, focused on building and deploying GenAI solutions for enterprise clients. This role involves leading engineering pods, architecting LLM-enabled applications, managing RAG pipelines, and defining evaluation frameworks, with a strong emphasis on client-facing engagement and production-scale impact.

Manager role focused on designing and implementing generative AI solutions on Oracle Cloud Infrastructure (OCI), integrating them with Oracle Fusion Applications (ERP, SCM, HCM, EPM). The role involves architecting agentic workflows and RAG pipelines, ensuring governance, and guiding teams on prompt engineering and model optimization, while working with enterprise AI platforms.

Senior Manager role focused on architecting and delivering Generative AI solutions on Oracle Cloud Infrastructure (OCI), integrating AI with Oracle Fusion Applications (ERP, SCM, HCM, EPM). The role involves designing agentic workflows, RAG pipelines, and optimizing AI use cases, while ensuring governance and security. Experience with OCI services, LLMs, embeddings, and enterprise AI platforms is required.

Senior Forward Deployed Engineer at Deloitte focused on building and deploying GenAI solutions for enterprise clients, working with Microsoft AI & Data platforms. The role involves client engagement, solution engineering, and delivering production-quality AI-enabled applications and agentic platforms.

Deloitte is seeking a Forward Deployed Engineer (FDE) to help clients turn AI ambition into enterprise-scale impact by building and deploying GenAI-enabled solutions. The role involves working with clients to identify use cases, prototype and deliver AI solutions, build agentic platforms and workflows, and apply architecture decisions for quality, safety, latency, and cost. The engineer will also focus on developing scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls, delivering production-quality code with strong MLOps practices.

This role is for an AI Technical Project Lead responsible for the day-to-day execution of AI and consulting initiatives. The role involves translating business priorities into technical work, managing cross-functional technical teams, and providing executive-level communication and reporting. Key responsibilities include technical program management, coordination of AI/GenAI and data workstreams, sprint planning, risk management, and facilitating decision-making for clients and internal leaders.

Senior Forward Deployed Engineer at Deloitte focused on building and deploying GenAI-enabled solutions and agentic platforms for enterprise clients using Palantir platforms. The role involves client engagement, solution engineering, and delivering production-quality code with a focus on scalability, safety, and business impact.

Senior Forward Deployed Engineer (FDE) at Deloitte, focusing on building and deploying GenAI-enabled solutions for enterprise clients on AWS. The role involves translating business needs into AI use cases, prototyping, and delivering scalable AI engineering patterns, agentic platforms, and workflows. Emphasizes client engagement, solution engineering, and delivering production-quality code with strong MLOps/LLMOps practices.

Forward Deployed Engineer at Deloitte focused on building and deploying enterprise-scale GenAI solutions and agentic platforms for clients, leveraging Databricks. Requires strong software engineering, data engineering, and client-facing skills to translate business needs into impactful AI applications.

Forward Deployed Engineer (FDE) for AWS at Deloitte, focused on building and deploying enterprise-scale GenAI solutions for clients. This role involves translating business needs into AI use cases, prototyping and delivering working AI solutions, and developing scalable AI engineering patterns, agentic platforms, and workflows. The FDE will apply architecture decisions balancing quality, safety, latency, and cost, and deliver production-quality code with strong engineering practices.

Develops and orchestrates LLM workflows, RAG pipelines, and multi-agent systems using Python, LangChain, and LangGraph, focusing on production deployment and operational ownership.

This role focuses on building and orchestrating LLM workflows using Python, LangChain, and LangGraph. Responsibilities include designing RAG pipelines, implementing multi-agent and memory systems, and ensuring production readiness with guardrails and observability. The role is part of Deloitte's AI & Engineering team, focused on delivering AI solutions for clients.

Manager role focused on leading engagements to identify, design, and implement AI-enabled business and technology solutions for large enterprises, specifically within the finance function. This involves client engagement, use case identification, solution development, deployment, and contributing to business development. The role emphasizes generative AI solutions across the technology stack and requires experience with cloud platforms and end-to-end AI deliveries in finance domains.

Senior Consultant role focused on architecting, piloting, and implementing generative AI solutions within the finance function for enterprise clients. Requires experience across the AI technology stack, understanding of finance business processes, and ability to translate technical designs into product roadmaps.

Principal GenAI Engineer at Deloitte, focusing on hands-on engineering to deliver GenAI solutions for customers and business value. This role involves technical leadership, code integrity, customer-centric development, and cross-functional collaboration, emphasizing modern software engineering practices including AI/ML/GenAI and DevSecOps for automated daily deployments.

Product Architect specializing in AI/ML, responsible for infusing AI/ML and GenAI into state-of-the-art products. This role involves hands-on architecture, technical leadership, and mentoring, with a focus on delivering outcome-driven, customer-centric engineering solutions. Requires deep expertise in modern software engineering, deep learning, Agentic AI, MLOps/AgentOps, and DevSecOps, with a collaborative approach to cross-functional teams.

Designs and drives deployment of GPU-accelerated AI factories and high-performance computing infrastructure, partnering with AI specialists and ecosystem partners to shape end-to-end solutions for clients. Focuses on technical solution strategy, architecture, and pre-sales for private AI assets.

Manager role focused on securing Microsoft Azure AI services and platforms, including Azure OpenAI, Azure Machine Learning, and Microsoft Copilot. Responsibilities include leading security architecture, defining AI security playbooks, establishing secure MLOps, implementing controls for AI workloads, and driving platform hardening.

AI Data Engineer - Manager role focused on leading data architecture and engineering for AI/ML/GenAI solutions. Designs and operationalizes data foundations for LLM-powered applications, including RAG and vector search. Manages delivery teams, partners with stakeholders, and ensures data governance, quality, and monitoring. Blends technical leadership with delivery management and team development, driving engineering standards and outcomes in client environments. Contributes to AI/ML/GenAI technical direction, architectural design, technology selection, and MLOps/LLMOps. Conducts research for scalable AI solutions, leads development of AI models, and collaborates with various teams. Serves as a technical advisor, ensures operational excellence, and addresses risks and ethical considerations in AI implementation.

AI Data Engineer Senior Consultant responsible for building and operating data, features, and GenAI foundations for Human Capital AI products. This role involves designing, building, and running the data and retrieval layer for AI/ML and GenAI solutions, including LLM-enabled capabilities, RAG patterns, governed datasets, feature engineering, and implementing safety/privacy controls. The role also contributes to MLOps/LLMOps and production operations.

Senior GenAI Engineer role at Deloitte focused on hands-on engineering to deliver GenAI solutions for customers and business investments. Emphasizes technical leadership, software craftsmanship, customer-centric development, and collaboration within cross-functional teams using Agile and DevSecOps practices.

Senior Consultant/Software Engineer III role focused on architecting, designing, and implementing scalable full-stack and agentic AI solutions. Responsibilities include leading end-to-end delivery, mentoring junior engineers, and collaborating with cross-functional teams on cloud-native infrastructure and AI applications using frameworks like LangChain and AutoGen.

This role focuses on building and optimizing LLM-powered prototypes and production-ready components using Generative AI (GenAI) and Natural Language Processing (NLP). Responsibilities include designing prompts and RAG workflows, packaging models as APIs, supporting cloud deployment, and ensuring outputs are evaluated, monitored, and aligned with responsible AI expectations. Requires strong Python proficiency, GenAI framework experience, and communication skills.

Lead the global Forward Deployed Engineering (FDE) organization for Deloitte's Zora AI agent platform, defining its charter, operating model, and standards. This role involves leading multiple FDE teams across US, EMEA, and APAC, overseeing client engagements, and translating field learnings into platform improvements. The focus is on ensuring successful, repeatable, and scalable deployments of AI agents within enterprise systems.

AI/ML Engineer role focused on developing and maintaining data pipelines, applying machine learning techniques, and building/optimizing AI/ML solutions for client missions, requiring a TS/SCI Polygraph clearance.

This role is for an AI Sales & Delivery Specialist Leader within Deloitte's SFL Scientific practice. The individual will define and execute strategy for AI, ML, and GenAI services, focusing on novel approaches and full-scale solution delivery. Responsibilities include client engagement, identifying opportunities, leading technical and go-to-market activities, managing interdisciplinary teams, and driving the vision, design, and deployment of generative AI solutions.

Senior Data Scientist role in Deloitte's AI & Engineering team supporting a government client. Requires expertise in Python, Palantir Foundry, and advanced machine learning techniques to develop data pipelines, extract insights, and build/optimize AI/ML solutions. The role involves collaboration with mission operations teams and client stakeholders, with a strong emphasis on communication and responding to high-priority analytic requests in a national security context. Active TS/SCI clearance with Polygraph is mandatory.

Senior Manager role focused on Physical AI strategy, advisory, and implementation in manufacturing and supply chain. Drives transformation programs combining robotics, computer vision, simulation, digital twins, synthetic data, and edge AI. Owns solution shaping, architecture, and end-to-end delivery from data to operations, with a focus on measurable outcomes and integrating AI with real-world constraints.

Senior Manager role in Forensic Analytics focusing on Anti-Money Laundering (AML) and financial crime. The role involves leading teams to design and deliver data-driven solutions using advanced analytics, machine learning, and GenAI techniques for regulatory compliance. Key responsibilities include shaping project strategy, client relationship management, and business development within the fintech domain.

Senior AI Engineer / Solutions Architect role focused on designing and deploying robust AI infrastructure and deployment services for machine learning applications. The role involves working cross-functionally to leverage advanced technical skills in modern data architecture, data science engineering, and data transformation, using cloud or on-prem technologies. Key responsibilities include designing scalable data architecture solutions for AI/GenAI use cases, supporting data pipelines, defining database schemas, and leading technology proof of concepts. The role also emphasizes adopting best engineering practices in automation, HPC, and AI/GenAI infrastructure, with a consultative, platform-agnostic approach.

AI Engineering Manager/Solutions Architect role at Deloitte's SFL Scientific, focused on designing, developing, and deploying AI applications for clients across various sectors. The role involves leading client engagements, defining data strategy, architecting scalable AI platforms and cloud solutions, and adopting best engineering practices. It requires expertise in modern data architecture, data science engineering, and supporting AI/GenAI use cases, with a platform-agnostic approach.

Specialist Master role focused on designing, developing, and deploying AI-driven solutions using Oracle Cloud and related technologies. Requires expertise in AI/ML solution architecture, Oracle platforms, LLM architectures, and generative AI, with a focus on enterprise environments.

Manager role focused on architecting and delivering AI-first solutions on Oracle Cloud Infrastructure (OCI), integrating generative AI with Oracle Fusion Applications (ERP, SCM, HCM, EPM). The role involves designing agentic workflows, RAG pipelines, and ensuring governance, security, and compliance for AI/ML initiatives, while also guiding prompt engineering and model optimization.

Senior Manager role focused on architecting and delivering Generative AI solutions on Oracle Cloud Infrastructure (OCI), integrating AI with Oracle Fusion Applications (ERP, SCM, HCM, EPM). Responsibilities include developing enterprise AI architecture, architecting agentic workflows and RAG pipelines, ensuring governance, identifying use cases, and guiding teams on prompt engineering and model optimization. Requires expertise in OCI services, LLMs, embeddings, RAG, multi-agent systems, and Python.

Senior Consultant role focused on building and implementing Agentic AI solutions for enterprise clients, involving orchestration, tool integration, and autonomous workflows. Requires experience with Generative AI, Python, and cloud platforms (AWS/GCP) for AI development and deployment.

Architect and implement GenAI solutions for clients across various industries, focusing on technical design, development, and deployment. This role involves defining AI strategy, architecting AI/GenAI systems, integrating AI outputs into workflows, and overseeing production deployment with optimization and monitoring. The role also involves staying updated on trends and mentoring junior members.

Manager role at Deloitte's SFL Scientific practice, focused on leading teams to design, develop, and deploy novel AI/GenAI solutions for clients across various industries. Responsibilities include technical direction, project strategy, client engagement, model development, validation, and deployment, with a focus on delivering measurable business outcomes.

Technical Manager role focused on modernizing contact centers using CCaaS and Generative AI, primarily on AWS. The role involves leading AI-enabled transformation workstreams, architecting and delivering GenAI solutions (prompt engineering, RAG, agent/tool-calling), partnering with clients on future-state experiences, supporting business development, and leading delivery teams through the full lifecycle.

Manager role focused on transforming contact centers using CCaaS and Generative AI on AWS. Responsibilities include leading workstreams, designing and delivering AI solutions using GenAI patterns like prompt engineering, RAG, and agent/tool-calling, and managing teams through the full project lifecycle. Requires experience in consulting, AWS cloud solutions, and contact center transformation.

Manager for a team developing AI/GenAI solutions in healthcare and life sciences, focusing on technical direction, strategy, and client engagement. Requires expertise in computer vision, NLP, time-series analysis, and graph neural networks.

Manager role focused on leading engagements to identify, design, and implement AI-enabled business and technology solutions for large enterprises, specifically within the finance function. This involves client engagement, use case identification, solution development and deployment, and contributing to business development. The role emphasizes generative AI and agentic AI solutions, with a focus on automating, accelerating, and augmenting finance operations.

Senior Consultant role focused on implementing and deploying predictive and generative AI solutions for finance transformation. The role involves collaborating with clients, applying analytical techniques, conducting stakeholder interviews, formulating recommendations, supporting delivery of AI-enabled solutions, and translating designs into product backlogs. Experience with architecting generative AI solutions, building on public cloud platforms, and developing AI solutions that demonstrate value is required. Preferred qualifications include experience with agentic AI for process automation and responsible AI practices.