Senior Manager AI Architect

About the Role

Within the Strategy & Consulting – AI & Data practice, we are looking for a Senior Manager AI Architect to lead the definition and implementation of large-scale Artificial Intelligence, Generative AI, and Agentic AI transformation programs for major clients.

In this role, you will operate at the intersection of strategy, enterprise architecture, and business transformation, defining how organizations adopt, industrialize, and scale AI in their operations.

You will define AI strategies, target architectures, and operating models, guiding clients on traditional AI / Machine Learning, Generative AI, and Agentic AI paradigms. You will help clients combine these approaches to build end-to-end intelligent systems aligned with their business objectives.

This includes the design and scaled deployment of LLM-based platforms (RAG, copilots, enterprise automation) as well as agentic systems (multi-agent architectures, autonomous workflows, decision support systems) integrated with traditional ML models.

You will act as a trusted advisor to senior stakeholders (C-level), while leading multidisciplinary teams and contributing to business development, offer creation, and market positioning. You will combine strategic vision with strong technical expertise, enabling you to challenge architectural choices and guide teams on modern AI stacks, enterprise platforms, and best practices.

Key Responsibilities

• Lead end-to-end AI transformation programs, covering traditional Machine Learning, Generative AI, and Agentic AI, from strategy definition to industrialization and scaled deployment.
• Manage relationships with senior clients (Directors / C-level) and act as a trusted advisor on AI, GenAI, and Agentic AI strategies and execution.
• Define enterprise AI architectures covering ML systems, GenAI platforms, and agentic systems, balancing performance, cost, scalability, and governance.
• Determine when to use traditional ML models, GenAI approaches, or agentic systems, and how to combine them effectively.
• Lead the design of enterprise-grade GenAI platforms, including RAG architectures, hybrid search systems (vector + graph / Graph RAG), and large-scale LLM integration.
• Accelerate the adoption of agentic AI systems, including multi-agent architectures, tool-augmented workflows, and AI-driven operating models.
• Define and oversee knowledge architectures (vector databases, knowledge graphs, memory layers) to enable advanced search, reasoning, and decision-making capabilities.
• Implement LLMOps and AgentOps operating models (evaluation, observability, monitoring, security, scaled lifecycle management).
• Ensure the integration of responsible AI, governance, and regulatory compliance (e.g., AI Act, GDPR).
• Mentor and grow multidisciplinary teams (managers, consultants, engineers, architects).
• Contribute to business development (offer creation, proposals, client acquisition).
• Participate in thought leadership, go-to-market strategies, and innovation initiatives.
• Lead skills development initiatives (training, mentoring, upskilling).

Your Profile

Education:

• Master's degree or equivalent in computer science, data science, artificial intelligence, engineering, mathematics, or a related field.
• Graduates from engineering schools, top universities, or equivalent international programs.
• Certifications or executive training in AI, data, or cloud are a plus.

Experience:

• 9 to 12+ years in enterprise architecture, AI architecture, or technology consulting.
• Proven experience in client relationship management and advising senior stakeholders.
• Demonstrated experience in leading large-scale AI/GenAI programs, from strategy to deployment.
• Solid business development experience.

Technical Skills:

• Mastery of enterprise AI ecosystems including:
  • Traditional AI / Machine Learning: supervised and unsupervised learning, predictive modeling, optimization, time series, NLP, integration into enterprise systems.
  • Generative AI & LLM: RAG architectures, prompt engineering, LLM integration, GenAI platforms.
  • Agentic AI: multi-agent systems, orchestration frameworks (LangGraph, AutoGen, Semantic Kernel), autonomous workflows.
  • Knowledge Systems: hybrid architectures (vector + graph), knowledge graphs, memory systems.
  • Data & Platforms: Databricks, Snowflake, distributed systems (Spark).
  • Cloud: Azure, AWS, GCP.
  • Modern Tools: LangChain, LlamaIndex, Semantic Kernel, LangGraph, AutoGen, Pinecone, Weaviate, Qdrant, Neo4j, Azure AI Search.

Architecture:

• Expertise in designing scalable, secure, and compliant enterprise architectures.
• Mastery of distributed and cloud-native systems.
• Knowledge of API and integration patterns.
• Expertise in data and AI platforms.
• Knowledge of governance, security, and regulatory frameworks.
• Ability to arbitrate technical choices and explain them to technical and business audiences.

Soft Skills:

• Client Leadership: ability to influence and challenge decision-makers.
• Strategic Vision: defining AI trajectories and operating models.
• Communication: simplifying complex concepts.
• Team Leadership: mentoring and developing high-performing teams.
• Entrepreneurial Spirit: identifying opportunities and business development.
• Coaching: structuring training programs.

Desired Qualifications:

• Experience in large-scale AI transformations.
• Hands-on experience in production GenAI and agentic systems.
• Experience in AI governance and compliance (AI Act, GDPR).
• Solid business development experience.
• Public speaking, publications, or thought leadership.
• Advanced certifications in AI or data.

Key Skills (Summary)

AI Strategy • Machine Learning • Generative AI & LLM • RAG & Graph RAG • Agentic AI & multi-agent systems • Knowledge Graphs • Vector Databases • Hybrid Search • LLMOps & AgentOps • Data Platforms • Cloud (Azure/AWS/GCP) • Enterprise Architecture • Governance & Responsible AI • Client Leadership • Business Development • Team Leadership

What Success Looks Like in This Role

• You lead large-scale AI programs generating measurable value.
• You are recognized as a trusted advisor by leaders.
• You design architectures combining ML, GenAI, and agentic systems.
• You accelerate the adoption of AI-based operating models.
• You contribute significantly to business growth.
• You develop high-performing teams.
• You contribute to market positioning and thought leadership.

What We Offer

• A leadership role at the heart of AI, GenAI, and Agentic AI transformations.
• Direct exposure to decision-makers and strategic challenges.
• A key role in developing Accenture's AI offerings.
• Responsibilities in business development and account management.
• Access to cutting-edge technological ecosystems (LLM, agentic systems, hybrid architectures, cloud).
• An international and collaborative environment.
• Continuous development opportunities and a clear path towards Director / Managing Director positions.