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 FY26 revenue rose 6% to $18.7 billion, with a 17.0% operating margin.
- Q1 FY26 advanced AI bookings hit $2.2 billion, nearly doubling year over year.
- July 10, 2026, Accenture raised $5 billion in notes for acquisitions, buybacks, and working capital.
What critics are saying
- June 18, 2026, Middle East conflict cut Q3 revenue by about $100 million.
- Accenture trimmed FY26 local-currency growth to 3%-4%, signaling slower deal closures.
- Federal and managed-services weakness makes AI displacement an existential margin risk.
What makes Accenture unique
- July 7, 2026, Accenture Edge and Google Cloud launched prebuilt mid-market agentic AI.
- June 2026, Accenture became OpenAI's first AI Transformation Partner of the Year.
- July 2026 acquisitions of Dragos, runZero, and NetRise built a scaled xOT cybersecurity platform.
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Benefits
Health Insurance
Professional Development Budget
401(k) Retirement Plan
401(k) Company Match
Company News
Accenture and Automatic Data Processing continue demonstrating steady revenue growth, though at single-digit rates, as both companies explore AI opportunities to expand their service offerings. Accenture, which provides strategy, consulting, technology, and operations services globally, reported an approximately 13% net income margin for the quarter ended May 31, 2026. The company is experiencing significant traction for AI services and targeting a more than $240 billion addressable market with Accenture Edge, offering cybersecurity solutions to mid-sized organisations. Automatic Data Processing, delivering cloud-based human capital management and payroll outsourcing solutions, posted an approximately 18% net income margin for the quarter ended June 30, 2026. The company recently launched a Canadian wage tracking tool. Accenture's quarterly revenue reached $18.7 billion in Q2 2026, whilst Automatic Data Processing reported $5.5 billion for the same period.
Accenture returned $39 billion to shareholders over five years through dividends and buybacks, equal to 40% of its current market value. Despite this substantial capital return, the stock now trades 57% below its two-year high, whilst the S&P 500 delivered 82% total returns over the same period. The IT consulting firm generated $73.1 billion in revenue over the last 12 months, but growth has slowed to 6.7%, below the S&P 500 median of 7.8%. Management recently disclosed a $100 million revenue impact from Middle East conflict and delayed managed services contracts. Accenture is investing heavily in artificial intelligence and its new mid-market unit, Accenture Edge. The company's fourth-quarter results, due this autumn, will test whether these initiatives can offset slowing core business. The stock trades at a price-to-earnings ratio of 12.8, compared to the S&P 500 median of 24.4, reflecting market scepticism about future growth prospects.
Accenture launched a dedicated mid-market business segment in June 2026, reporting a 13% net income margin for the quarter ended 31 May 2026. The global professional services company's revenue shows modest year-over-year growth, reaching $18.7 billion in Q2 2026. Microsoft restructured its senior leadership team in May 2026, adopting a flatter organisational framework for the artificial intelligence era. The company achieved a 40% net income margin for the quarter ended 30 June 2026, with revenue reaching $90 billion. Microsoft's quarter-over-quarter revenue increases significantly outpace Accenture's growth, driven by customer demand for AI offerings. Microsoft reported diluted earnings per share of $4.81 in its fiscal fourth quarter, up from $3.65 the previous year, demonstrating profitability alongside heavy AI infrastructure investment.
Accenture trades at 13.6 times earnings after its stock fell 35% last year whilst the S&P 500 climbed, creating a steep discount to the market's 24.4 median multiple. The IT consulting firm maintains a 15.8% operating margin and generates a free cash flow yield of 11.9%, though three-year revenue growth of 4.8% trails the market median of 7.8%. The company disclosed a $100 million revenue impact from Middle East conflict and delayed managed services opportunities pushing into fiscal 2027. Management plans to deploy approximately $9 billion in acquisitions this year, including expansion into OT security. Accenture also launched Accenture Edge to target a $240 billion addressable market amongst mid-sized companies. The firm guided fourth-quarter revenue between $17.75 billion and $18.4 billion, with results expected to test whether current pressures represent temporary headwinds or fundamental business challenges.
Accenture has partnered with Radisson Hotel Group to launch @RadissonHotels, an AI-powered hotel discovery app within ChatGPT. The app allows travellers to search over 1,000 properties across more than 100 countries using natural language, then complete bookings via Radisson's website. The partnership demonstrates Accenture's application of generative AI and data capabilities to enable "agentic commerce", where trip discovery and decision-making occur through AI-driven conversations rather than traditional booking channels. Accenture recently announced a $2 billion share repurchase programme whilst continuing dividend payments. The company's narrative projects $85.6 billion revenue and $10.5 billion earnings by 2029, requiring 5.4% yearly revenue growth. Some analysts forecast revenues of approximately $87.6 billion and earnings near $10.8 billion by 2029.