ai engineer for financial services

Описание:

Capgemini is an AI-powered global business and technology transformation partner that delivers business value through AI, technology, and people. It provides end-to-end services and solutions across strategy, technology, design, engineering, and business operations.

Задачи:

• Design, develop, and deploy end-to-end Generative AI solutions using LLMs, RAG architectures, and vector databases
• Build and optimize AI-driven applications for document intelligence, compliance automation, and conversational banking solutions
• Develop scalable data pipelines and lakehouse architectures using Databricks, Spark, Snowflake, and cloud-native services
• Integrate structured and unstructured data sources to support advanced analytics and AI use cases
• Deploy, monitor, and manage AI/ML solutions on Azure, AWS, or GCP using MLOps best practices
• Implement CI/CD pipelines, model governance, monitoring, and lifecycle management for AI systems
• Collaborate with business and technology stakeholders to deliver solutions across risk, compliance, trading, fraud detection, and portfolio analytics
• Ensure adherence to regulatory, data privacy, and security standards including GDPR, AML, KYC, and financial services governance requirements
• Establish data governance, lineage, quality, and Responsible AI frameworks covering explainability, bias mitigation, and auditability
• Build and maintain APIs, microservices, and cloud-native platforms supporting enterprise AI applications
• Drive technical architecture decisions, mentor engineering teams, and promote engineering best practices
• Evaluate emerging AI technologies and recommend innovative solutions to enhance business outcomes in financial services

Требования:

• 7+ Years of experience in Data Engineering, AI Engineering, or Machine Learning platforms
• Strong expertise in Python, SQL, GenAI frameworks, cloud platforms, and distributed data processing
• Proven experience delivering AI/Data solutions within Banking, Capital Markets, Insurance, FinTech, or regulated financial environments
• Experience leading teams, mentoring engineers, and driving enterprise-scale technology initiatives
• Strong problem-solving, analytical, and troubleshooting capabilities
• Ability to translate complex business requirements into scalable data and AI solutions
• Excellent communication, presentation, and stakeholder management skills across business and technology teams
• Experience collaborating in Agile/Scrum delivery environments
• Strong understanding of Generative AI, LLMs, RAG architectures, embeddings, and vector databases
• Hands-on expertise in Python, SQL, Spark/PySpark, Databricks, and cloud-native data platforms
• Experience building and deploying APIs, microservices, and cloud-based AI applications
• Knowledge of MLOps, CI/CD, model monitoring, governance, and Responsible AI practices
• Understanding of financial services processes, regulatory requirements, and data privacy frameworks
• Experience mentoring engineers, leading technical initiatives, and driving best practices across teams
• Candidates who declare a disability and meet the minimum essential criteria will be offered an interview; opt in during the application process

Условия:

• Employee wellbeing support includes trained Mental Health Champions and wellbeing apps such as Thrive and Peppy Training and development opportunities include thinktanks, hackathons, access to 250,000 courses, and external certifications
• Recognised as one of the World’s Most Ethical Companies for 13 consecutive years

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