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Senior Delivery Consultant – Data & GenAI, Professional Services - Job Opportunity at AWS EMEA SARL (France Branch)

Lyon, France
Full-time
Senior
Posted: August 17, 2025
On-site
EUR 85,000 - 110,000 annually, reflecting the premium for GenAI expertise combined with AWS consulting experience in the competitive French tech market, with potential for performance bonuses and equity compensation typical of senior AWS Professional Services roles.

Benefits

Comprehensive mentorship programs with access to senior AWS professionals and structured career development pathways that accelerate professional growth beyond industry standards
Flexible work-life harmony policies that prioritize personal well-being while maintaining high performance standards, offering superior work-life integration compared to traditional consulting roles
Access to cutting-edge cloud technologies and emerging AI/ML platforms, providing unparalleled technical learning opportunities that enhance market value
Inclusive workplace culture with employee-led affinity groups and diversity conferences that foster professional networking and personal development
Continuous learning opportunities through knowledge-sharing sessions, training programs, and exposure to Global 500 company projects

Key Responsibilities

Architect and deploy enterprise-scale AWS solutions that directly impact customer digital transformation initiatives, positioning yourself as a strategic technology leader in cloud adoption
Serve as the primary technical authority throughout complex project lifecycles, making critical decisions that influence customer success and long-term cloud strategy
Drive customer migration strategies by conducting comprehensive infrastructure assessments and developing roadmaps that enable business growth and operational efficiency
Function as a trusted technology advisor to enterprise stakeholders, influencing industry adoption of emerging AI/ML and cloud technologies
Lead knowledge transfer initiatives within AWS Professional Services, creating reusable frameworks and mentoring junior consultants to scale organizational expertise

Requirements

Education

Bachelor's degree in Computer Science, Engineering, Mathematics or related field

Experience

5+ years industry experience building Data & AI/ML business applications

Required Skills

Strong software development skills in multiple languages, such as Python, Java, SQL, and R extensive ETL and data management experience Deep understanding of Hadoop ecosystem (Sqoop, Kafka, etc.) and SQL-on-Hadoop technologies (Hive, Spark SQL) proven experience in MPP models Demonstrated expertise in GenAI, including LLMs, RAG architectures, vector databases, and production deployment experience Strong track record in implementing large-scale data warehousing solutions proficiency in automation tools Strong communication and presentation skills

Certifications

AWS Professional certifications (Solutions Architect, Data Engineer) preferred
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Sauge AI Market Intelligence

Industry Trends

The enterprise AI market is experiencing unprecedented growth with GenAI adoption accelerating across industries, creating massive demand for professionals who can bridge traditional data engineering with modern LLM implementations and vector database architectures. Cloud migration has evolved from lift-and-shift approaches to sophisticated AI-first transformations, requiring consultants who understand both legacy data warehousing and cutting-edge RAG architectures for enterprise knowledge management. The convergence of MLOps and LLMOps is creating new operational paradigms, with companies seeking experts who can implement governance frameworks for AI systems while maintaining the scalability and reliability of traditional data platforms. European data sovereignty regulations and AI governance requirements are driving demand for consultants who can navigate complex compliance landscapes while implementing innovative GenAI solutions that meet regulatory standards.

Role Significance

Typically leads technical workstreams within 3-5 person project teams, collaborating with AWS account managers, partner solution architects, and customer technical teams ranging from 5-20 stakeholders depending on enterprise client size.
This role represents a senior individual contributor position with significant customer-facing responsibility and technical decision-making authority, typically requiring 7-10 years of progressive experience to fully execute the strategic advisory components effectively.

Key Projects

Enterprise data lake modernization initiatives involving petabyte-scale data migration and real-time analytics implementation GenAI proof-of-concept development and production deployment for customer service automation and knowledge management systems Complex multi-cloud integration projects requiring sophisticated ETL pipelines and ML model deployment across hybrid infrastructure environments

Success Factors

Deep technical expertise in both traditional big data technologies and emerging GenAI platforms, enabling seamless integration of legacy systems with modern AI capabilities while maintaining enterprise-grade performance and security standards. Exceptional customer relationship management skills that build trust with C-level executives and technical teams alike, facilitating complex decision-making processes and change management initiatives across large organizations. Strategic thinking capability that connects technical implementation details to business outcomes, enabling consultants to justify significant cloud investments and drive organizational buy-in for transformational technology initiatives. Continuous learning mindset essential for staying current with rapidly evolving AI/ML landscape, particularly in areas like prompt engineering, fine-tuning methodologies, and emerging vector database technologies that directly impact customer success.

Market Demand

Exceptionally high demand driven by the intersection of enterprise AI adoption, cloud transformation initiatives, and the scarcity of professionals with deep GenAI implementation experience combined with traditional data engineering expertise.

Important Skills

Critical Skills

GenAI expertise including LLM fine-tuning, RAG architecture design, and vector database implementation represents the most differentiating skill set in today's market, as enterprises struggle to move beyond proof-of-concept to production-ready AI systems that deliver measurable business value. Deep AWS data services knowledge spanning traditional analytics platforms and modern AI/ML tools enables seamless integration of existing data infrastructure with new AI capabilities, a critical capability for enterprise customers with significant legacy investments. Enterprise consulting and stakeholder management skills are essential for navigating complex organizational dynamics and technical decision-making processes that characterize large-scale cloud transformation initiatives involving multiple business units and technical teams.

Beneficial Skills

Industry-specific domain expertise in regulated sectors like financial services or healthcare can significantly enhance consulting effectiveness and client trust when implementing AI solutions that must meet strict compliance requirements. Open-source AI/ML framework proficiency beyond AWS services demonstrates technical depth and provides flexibility in solution design, particularly important for clients with multi-cloud strategies or specific performance requirements. Project management and agile methodology expertise becomes increasingly valuable as GenAI projects require iterative development approaches and close collaboration with business stakeholders to refine AI model performance and user experience.

Unique Aspects

This role offers direct exposure to enterprise GenAI implementations at scale, providing hands-on experience with production LLM deployments that few professionals globally have had the opportunity to develop.
The combination of AWS's market-leading AI/ML services portfolio with Professional Services' structured delivery methodology creates unique learning opportunities in both technical depth and enterprise consulting skills.
Access to AWS's internal research and development initiatives provides early exposure to emerging technologies and industry partnerships that influence the broader direction of enterprise AI adoption.
The EMEA regional focus offers exposure to diverse regulatory environments and cultural contexts, developing cross-cultural consulting skills valuable in the global technology market.

Career Growth

Advancement to principal-level roles typically occurs within 2-3 years for high performers, with progression to practice leadership or customer solution architect roles possible within 3-5 years given the high demand for GenAI expertise.

Potential Next Roles

Principal Consultant or Practice Leader roles within AWS Professional Services, leading specialized GenAI or Data & Analytics practices Customer-facing Solution Architect positions with expanded pre-sales responsibilities and larger territory management Independent consulting or startup technical leadership roles leveraging deep AWS and AI expertise in high-growth technology companies

Company Overview

AWS EMEA SARL (France Branch)

AWS EMEA SARL represents Amazon Web Services' European operations, positioning the company as the dominant cloud infrastructure provider globally with approximately 32% market share and the most comprehensive suite of AI/ML services in the enterprise market.

AWS maintains clear market leadership in cloud services with significant competitive advantages in enterprise AI/ML capabilities, offering the most mature professional services organization in the cloud consulting space with established methodologies and proven delivery frameworks.
The Lyon location represents AWS's strategic expansion into secondary European tech hubs, offering exposure to diverse multinational clients while benefiting from France's growing AI research ecosystem and government initiatives supporting digital transformation.
AWS Professional Services combines the innovation culture of Amazon with the client-focused approach of traditional consulting, emphasizing ownership, customer obsession, and continuous learning while providing exposure to cutting-edge technology implementations across diverse industries.
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