Full-Time
AI Engineering Manager
Agentic AI Engineering
Accenture
10,001+ employees
Global professional services and technology consulting
No salary listed
Paris, France
In Person
Bachelor's, Master's
 Engineering Management (1) |
|---|
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- A Licence or Master degree in computer science, data science, machine learning, mathematics, physics, or a related field is required.
- Experience in artificial intelligence, machine learning, or advanced analytics, including experience in consulting or a client-facing environment, is required.
- Demonstrated experience delivering artificial intelligence or generative artificial intelligence solutions end to end in production is required.
- Experience managing teams and leading projects is required.
- Strong proficiency in Python and machine learning frameworks such as TensorFlow and PyTorch is required, along with an understanding of machine learning systems in production.
- Experience with retrieval-augmented generation architectures, prompt engineering, large language model integration, and frameworks including LangChain, LlamaIndex, and Semantic Kernel is required.
- Knowledge of agent-based systems, including multi-agent workflows, orchestration frameworks such as LangGraph, AutoGen, and CrewAI, and tool-augmented reasoning is required.
- Experience designing hybrid architectures combining vector databases and knowledge graphs, including technologies such as Neo4j and Amazon Neptune, is required.
- Proficiency with data pipelines, distributed processing with Spark, and modern data platforms such as Databricks and Snowflake is required.
- Experience deploying, monitoring, evaluating, and managing the lifecycle of generative artificial intelligence and agentic systems using tools such as MLflow, LangSmith, and Weights & Biases is required.
- Practical experience with Azure, AWS, or GCP, including artificial intelligence services such as Azure OpenAI, AWS Bedrock, or Vertex AI, is required.
- French and English fluency, written and spoken, is required.
- Lead the delivery of artificial intelligence, generative artificial intelligence, and agentic artificial intelligence projects from design through production deployment.
- Translate business needs into scalable architectures, including machine learning pipelines, generative artificial intelligence applications, and agentic workflows.
- Design and implement generative artificial intelligence solutions, including retrieval-augmented generation architectures, prompt engineering strategies, and enterprise-level large language model applications.
- Contribute to the design and implementation of agentic artificial intelligence systems, including multi-agent architectures, orchestration workflows, and tool-based reasoning.
- Design and implement hybrid knowledge systems, including vector databases, embedding pipelines, and knowledge graphs for search, reasoning, and memory.
- Define and implement large language model operations practices for evaluating, monitoring, and managing the lifecycle of generative artificial intelligence and agentic systems.
- Ensure the integration of responsible artificial intelligence, governance, and security mechanisms into solutions.
- Lead the development of proofs of concept and minimum viable products and industrialize them into production systems.
- Facilitate client workshops, technical discussions, and design sessions, and present architectures and trade-offs.
- Collaborate with engineering, cloud, data, and security teams to deliver integrated solutions.
- Coach and support team members, including analysts and consultants.
- Contribute to business development through proposals and client presentations.
- Participate in developing internal assets, accelerators, and best practices.
- Azure, AWS, GCP, or machine learning/artificial intelligence certifications are appreciated.
- Experience with generative artificial intelligence or agentic systems in production.
- Experience with agent orchestration frameworks such as LangGraph, AutoGen, or Semantic Kernel.
- Experience in artificial intelligence governance, responsible artificial intelligence, or regulatory compliance such as the Artificial Intelligence Act.
- Experience in consulting, digital transformation, or large-enterprise environments.
- Open-source contributions or publications in artificial intelligence or generative artificial intelligence.
- Advanced certifications or specialized training.
Accenture is a global professional services firm that helps companies navigate technology-driven change. It offers strategies and services across consulting, digital, technology, and operations, with a strong emphasis on cloud, artificial intelligence, security, and enterprise reinvention. Accenture works by delivering end-to-end solutions, combining advisory work with implementation, technology platforms, and managed services to transform how organizations operate and compete in today’s digital world. The company differentiates itself through its long history as a dedicated tech-advisory arm that gained independence in 2001, its scale, and its active acquisitions—particularly since 2013—to expand capabilities in digital, cloud, and security. Its goal is to help the world’s largest corporations rethink and reshape their operations to stay ahead of rapid technological shifts.
Company Size
10,001+
Company Stage
IPO
Headquarters
Dublin, Ireland
Founded
1989
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Simplify's Take
What believers are saying
- Q3 fiscal 2026 revenue reached $18.72 billion, and operating margin widened to 17%.
- Accenture logged 104 bookings above $100 million through Q3 fiscal 2026, up 13%.
- Cybersecurity revenue hit $10 billion in fiscal 2025, and Edge expands that momentum.
What critics are saying
- Q3 fiscal 2026 bookings fell 3% locally, signaling softer demand despite 2025 AI hype.
- Consulting grew only 1% locally in Q3 fiscal 2026; federal spending and geopolitics dragged results.
- June 2026 securities investigation and repeated restructuring costs pressure sentiment and distract management.
What makes Accenture unique
- Accenture combines strategy, delivery, and managed services across 40-plus industries globally.
- June 2026 launch of Accenture Edge targets mid-market firms with AI-ready, prebuilt solutions.
- August 2026 COMWARE acquisition and Dragos stake deepen SAP and critical-infrastructure cybersecurity capabilities.
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Benefits
Health Insurance
Professional Development Budget
401(k) Retirement Plan
401(k) Company Match
Company News
Accenture trades 37% below its 52-week high after falling 27% over the past year. In fiscal Q3 2026, new bookings declined and some managed services deals slipped into fiscal 2027. The company generated $73.1 billion in revenue over the past twelve months, with operating margins widening to 17% in Q3. Managed services revenue grew 5% in local currency. In the first nine months of fiscal 2026, clients made 104 quarterly bookings exceeding $100 million, up 13% year-on-year. Consulting revenue grew just 1% in local currency in Q3. Management attributes the slowdown to the Middle East conflict affecting regional and discretionary spending. The CEO acknowledged that client budgets have not been growing, with spending simply being redirected rather than increased.
Accenture has appointed Emma Chalwin as Chief Marketing Officer, effective 1 October 2026. She will oversee global marketing and communications, reporting to Chair and CEO Julie Sweet. Chalwin joins from Workday, where she served as CMO. She previously held senior marketing roles at Salesforce, Adobe, McAfee, and Macrovision, bringing over 30 years of global marketing leadership experience. Sweet said Chalwin is a "proven growth leader" who understands how to translate breakthrough technologies into client value. Chalwin expressed excitement about helping shape Accenture's next chapter as organisations reimagine growth in the age of AI. Chalwin has been recognised on Forbes' World's Most Influential CMOs list and is a member of the Fortune Most Powerful Women network.
Accenture is shifting its growth strategy, de-emphasising LearnVantage, a learning and training business it built and promoted heavily in 2024. The company mentioned LearnVantage only once on its June 2026 earnings call, listing it amongst AI enablers rather than highlighting it as a standalone growth driver. Meanwhile, Accenture is redirecting resources toward cybersecurity, which has grown from $700 million in fiscal 2016 to $10 billion in fiscal 2025. The company is acquiring a majority stake in an operational technology security specialist, alongside two smaller firms, combining them into a platform for critical infrastructure. These assets generate $208 million in annual recurring revenue, growing at 48%. Accenture's acquisition budget for fiscal 2026 is approximately $9 billion against $73.1 billion in trailing twelve-month revenue. The company has also launched Accenture Edge, targeting mid-market companies. The stock is down 24.3% over the past year.
Central banks in Asia and Europe are tightening policy, yet cash deposits offer limited returns. This creates opportunities for dividend-focused investors seeking reliable income streams. Three stocks from the Dividend Powerhouses screener currently offer yields above 5% with covered, growing payouts. The screener identifies 1,851 companies with compelling dividend profiles. Accenture, a global consulting and technology services firm, offers a 3.48% yield backed by strong free cash flow. The company generates revenue primarily from Products clients (US$22.3 billion), Health & Public Service (US$14.9 billion), and Financial Services (US$13.8 billion). Its market capitalisation stands at approximately US$111 billion. The firm is reshaping itself for the AI era through acquisitions and partnerships with Google Cloud and ServiceNow. Key risks include whether AI and slower IT spending will reshape consulting economics faster than Accenture can adjust.
Accenture has agreed to acquire COMWARE Co., Ltd., a Tokyo-based provider of end-to-end technology services for mid-market companies.