Lead the design, development, deployment, and maintenance of advanced Data Science, Machine Learning, and AI solutions for a major European Union institution.
Responsibilities
Design and develop data analytic, data visualisation and AI solutions
Elicit and analyse business needs, requirements, and user stories in context of data science processes
Support business experts and product owners during definition of requirements and models development
Produce data scientist related documentation for models and analytical modules
Define, collect, and interpret model metrics
Requirements
Bachelor's degree in a relevant field (implied by 8 years IT experience)
Lead the architecture and technical direction of enterprise AI solutions on Google Cloud for Accenture’s clients in Finland.
Responsibilities
Lead the architecture and technical design of enterprise AI, generative AI and agentic AI solutions on Google Cloud
Design end-to-end solutions spanning AI models, data, applications, APIs, integration, cloud infrastructure, identity and security
Architect solutions using Vertex AI, Gemini, BigQuery and relevant Google Cloud services
Define production architectures covering scalability, availability, performance, observability, cost management, security and regulatory requirements
Design MLOps and LLMOps approaches for deploying, evaluating, monitoring and governing AI models and applications
Requirements
Master's or Bachelor's degree in computer science, engineering, information technology or another relevant field, or equivalent professional experience
Lead control reviews, monitoring, and risk assessments to strengthen client onboarding and documentation processes within a global financial institution.
Responsibilities
Lead control reviews using analytics and data-driven testing
Perform proactive monitoring and testing to identify emerging risks
Analyze root causes for control issues and partner on corrective actions
Automate control testing to reduce manual effort
Execute risk and control assessments for AI solutions
Lead AI solution design and delivery for Worley’s critical projects, shaping generative and agentic AI products within an enterprise architecture framework.
Responsibilities
Lead discovery and solution-shaping workshops
Design end-to-end AI products and solutions
Translate solution designs into production-ready AI products
Lead AI product strategy and delivery for HSBC’s Financial Crime detection portfolio, driving AI-first roadmap, product discovery, and cross‑functional collaboration across global teams.
Responsibilities
Set and own AI product vision and roadmap
Lead AI‑enabled product discovery with users and delivery squads
Shape AI‑native product experiences
Author product requirements and evaluation criteria
Lead APAC Data and AI enablement by acting as the business translator between regional priorities, enterprise technology strategy, and practical market execution.
Responsibilities
Champion the APAC Data and AI enablement agenda
Translate business priorities into scalable Data and AI solutions
Partner with enterprise platforms to scale reusable capabilities
Drive adoption, value realization, and stakeholder alignment
Build regional AI capability and responsible operating discipline
Requirements
Bachelor’s Degree in Engineering, Math, Statistics, Actuarial Science, Finance, Economics, Bioinformatics or related field
Master’s Degree in Engineering, Math, Statistics, Actuarial Science, Finance, Economics, Bioinformatics or related field
Lead end-to-end AI system design and architecture for a major Generative AI platform, ensuring secure, resilient, compliant, and enterprise-aligned solutions.
Compensation
Salary Range: $90,000 - $157,500 Annual
Responsibilities
Own end-to-end architecture and system design for a major AI platform domain, including model integration, orchestration, APIs, data flows, and downstream system interactions.
Define and implement reference architectures, design standards, integration contracts, and non-functional requirements (NFRs) for the platform area.
Translate business and product requirements into scalable, secure, resilient, and maintainable AI solution designs.
Partner with business stakeholders, product managers, engineers, data scientists, platform teams, and security teams to deliver enterprise-ready AI systems.
Design solutions leveraging cloud architecture principles on AWS, Azure, or Google Cloud, ensuring interoperability, scalability, observability, and operational readiness.
Requirements
Bachelor’s degree in Computer Science, Computer Information Systems, Engineering, Mathematics, or a related discipline; Master’s degree preferred.
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