Jobs at Accenture

Provides onsite logistics and technical support for smart devices. Responsibilities include receiving, tracking, distributing, returning, configuring, troubleshooting, and shipping devices; maintaining inventory and documentation; supporting users; and developing diagnostic scripts, automation, and web applications. The role is fully onsite in San Jose and requires flexibility between logistics and technical assignments.

Designs, builds, deploys, and operates production-scale full-stack agentic AI systems across frontend, backend, data, and intelligent components. Integrates AI, ML, and NLP into scalable cloud solutions; develops APIs and services; leads technical discovery, demonstrations, workshops, and proofs of concept; supports sales proposals and client engagements; and collaborates across product, business, engineering, and sales teams.

Designs, builds, and scales enterprise AI applications using classical machine learning, generative AI, RAG, and agentic architectures. Develops intelligent workflows, autonomous agents, knowledge systems, chatbots, copilots, and decision-support solutions integrated with enterprise platforms and APIs. Leads AI governance, evaluation, observability, security, and human-in-the-loop controls while advising clients on enterprise AI transformation. Requires extensive experience with Claude, OpenAI, LLMs, cloud platforms, vector databases, semantic search, and production-grade AI implementations.

Designs enterprise data fabric solutions across on-premises and multi-cloud environments. Integrates data virtualization, metadata, knowledge graphs, cataloging, and automated integration into connected data layers supporting analytics and AI. Defines scalable reference architectures, governance patterns, data products, self-service consumption, and real-time delivery. Advises client architects and leaders on data modernization initiatives using cloud platforms, data mesh, APIs, and streaming architectures.

Leads enterprise data engineering, data fabric architecture, governance, and AI platform delivery. Designs cloud data platforms, ETL/ELT pipelines, ontologies, APIs, streaming architectures, metadata lineage, and data quality controls. Integrates Salesforce, Palantir Foundry, and AI/ML workflows while enabling KPI measurement and business value realization. Advises clients, defines reference architectures, maintains platform integrity, and drives reusable data assets and modernization solutions.

Develop and deploy machine learning models and responsible AI solutions for clients. Evaluate and mitigate fairness, bias, transparency, explainability, robustness, privacy, and other AI risks. Manage the full AI development lifecycle, optimize existing systems, document methodologies, contribute to responsible AI standards and training, and support client proposals. The role requires collaboration, technical communication, and potentially extensive travel.

Lead client workforce transformation initiatives focused on AI-enabled work redesign, skills-based talent strategies, workforce planning, talent intelligence, reskilling, organizational transformation, and employee experience. Use generative AI, LLMs, workforce analytics, labor market data, and talent platforms to develop strategic recommendations and future-ready solutions. Support change initiatives, proposals, thought leadership, client relationships, and internal capability-building efforts, with travel as needed.

Develop and execute enterprise AI and data strategies for clients, including AI value cases, operating models, talent strategies, technology roadmaps, responsible AI plans, and commercialization opportunities. Build trusted C-suite relationships, lead transformation workstreams, shape new business opportunities, and guide large-scale AI-enabled reinvention initiatives. The role requires consulting experience, strong program management and communication skills, leadership capability, and up to 80% travel.

Design, build, deploy, and operate production AI-native systems spanning applications, APIs, data, cloud infrastructure, DevSecOps, security, observability, and agentic AI. Lead architecture, client engagements, multidisciplinary engineering teams, and technical delivery from ambiguous requirements through production. Build cloud-native platforms, CI/CD pipelines, secure data and context architectures, AI integrations, agent orchestration, evaluations, and production safeguards. Establish reusable engineering standards, tooling, and practices for enterprise AI adoption.

Designs, implements, and supports secure, scalable enterprise network solutions. Responsibilities include assessing client environments, developing network designs and transformation roadmaps, implementing cloud and data center infrastructure, evaluating emerging technologies, supporting automation, documenting findings, presenting recommendations, and managing client relationships. The role requires experience with network modernization, hybrid and multi-cloud architectures, software-defined networking, DevOps operating models, high-performance networks, and distributed systems. Travel may range from 25% to 100%.

Lead product data strategy and implementation for agentic commerce transformations. The role establishes AI-ready product data foundations, PXM and PIM implementations, enrichment programs, data governance, GEO readiness, schema strategies, and multi-channel syndication. It also advises executive clients, develops business cases and roadmaps, manages cross-functional delivery teams, mentors consultants, and contributes to Accenture’s agentic commerce frameworks and offerings.

Leads enterprise network transformation and modernization initiatives, architecting secure, scalable solutions across on-premises, hybrid-cloud, multi-cloud, edge, and mission-critical environments. Designs networking for AI and data-intensive workloads; develops automation, orchestration, infrastructure-as-code, governance, standards, and technology roadmaps. Integrates network infrastructure with cloud, security, observability, and enterprise platforms while advising clients and leading complex transformation programs. Travel may range from 25% to 100%.

Leads enterprise network architecture, modernization, and transformation initiatives across on-premises, cloud, hybrid, and edge environments. Designs secure, scalable infrastructure for AI, analytics, and high-performance workloads; develops technology standards, governance, roadmaps, and architecture reviews. Integrates networking with cloud, security, observability, and enterprise platforms while applying automation, Infrastructure as Code, Zero Trust, and modern operating models. Client travel may range from 25% to 100%.

Designs, develops, configures, tests, and supports IBM Cúram solutions for health and human services programs. Builds Java components, batch processes, integrations, financial modules, SOAP services, XML interfaces, and Oracle database components. Troubleshoots defects and performance issues, collaborates with Agile delivery teams, supports production and modernization efforts, and provides technical leadership through reviews, estimation, mentoring, and development standards.

Originate and close complex cybersecurity and OT technology deals within enterprise accounts. Engage senior stakeholders, develop opportunities, shape proposals, manage pipelines and $4–7 million sales targets, lead negotiations and contracting, and collaborate with delivery, architecture, legal, pricing, and account teams. Build trusted client relationships and contribute reusable OT security sales assets and methods. Travel may range from 25% to 100%.

Leads Accenture’s IBM ecosystem business development strategy, originating and shaping enterprise opportunities in mainframe modernization, hybrid cloud, AI infrastructure, and FinOps. Builds executive relationships with IBM and client stakeholders, develops business cases and ROI narratives, drives joint go-to-market initiatives, grows qualified pipeline, and positions Accenture as IBM’s preferred transformation and managed services partner. The role requires 25%–50% travel and extensive experience in complex pursuits, enterprise technology sales, consulting, and opportunity development.

Leads Google Cloud sales origination, pursuit strategy, negotiations, and deal closure for enterprise modernization solutions. Develops client relationships, identifies cloud transformation opportunities, creates tailored solutions, directs sales activities, and collaborates with account teams through closure. Focus areas include application, infrastructure, mainframe, and cloud architecture modernization. The role engages senior client stakeholders, manages complex cross-service-group pursuits, and requires 25% to 100% travel depending on business needs.

Lead organizational change and workforce transformation consulting for industrial clients. Design enterprise change programs, AI adoption strategies, human-centered employee experiences, readiness and adoption analytics, and future-ready operating models. Guide responsible GenAI use, develop communications and learning assets, build client change capabilities, support business development, and maintain trusted client relationships. Travel may be required.

Originate, develop, and close net new mid-market business for Accenture. Build pipelines, execute targeted prospect outreach, develop proposals with internal teams, represent the company at industry events, forecast opportunities, and contribute to go-to-market strategy. The role requires executive-level client engagement, strong commercial judgment, and a consistent record of closing $500K–$3M deals while achieving quota.

Leads Accenture’s Adobe ecosystem growth strategy by developing joint go-to-market motions, originating Adobe-related opportunities, building executive and partner relationships, and driving pipeline growth. The role develops business cases, leads workshops, creates industry solutions and thought leadership, and enables field teams on Adobe value propositions. It requires extensive business development, complex pursuit management, Adobe expertise, enterprise technology sales experience, and travel of 25% to 50%.