AI Architect, Google Cloud

Data Eng, Mgmt & Governance Senior Manager | Senior Level | Full time

Job No. R00370967 | Helsinki

Job Description

We are looking for an experienced AI Architect with strong Google Cloud expertise to join our AI & Data team in Finland.

As an AI Architect, you will lead the architecture and technical direction of enterprise AI solutions for our clients. You will work at the intersection of AI, data, cloud, security and business transformation, translating business requirements into scalable, secure and production-ready AI architectures.

You will have a particular focus on the Google Cloud AI ecosystem, including Vertex AI, Gemini, BigQuery and the broader Google Cloud platform. Your role is not limited to selecting or using AI models. You will help our clients design how AI capabilities integrate with enterprise applications, data platforms, security architecture and operating models, and how solutions are taken from experimentation into production.

As a Senior Manager, you will also be expected to provide technical leadership in client engagements, guide architecture decisions, support business development and contribute to growing Accenture's AI architecture capabilities 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, selecting appropriate services and architectural patterns for different client requirements.
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 throughout their lifecycle.
Work with client enterprise architects, security teams, data teams, software engineers and business stakeholders to ensure AI solutions integrate effectively into the wider enterprise architecture.
Provide technical leadership from early-stage opportunity shaping and architecture through implementation and production deployment.
Evaluate technology choices and architectural trade-offs, including managed AI services, foundation models, open-source technologies and integration with existing client platforms.
Support responsible and secure adoption of AI, including areas such as identity and access management, data protection, AI governance, model risk and secure AI architecture.
Act as a trusted technical advisor to senior client stakeholders and communicate complex architectural decisions clearly to both technical and non-technical audiences.
Contribute to proposals, solution shaping and estimation, and help develop reusable AI architecture patterns and capabilities.
Coach architects and engineers and contribute to building Accenture's AI engineering and architecture community in Finland.

Qualification

Requirements:

Several years of experience designing and delivering enterprise cloud, data, machine learning or AI solutions, including experience leading complex technical engagements.
Strong hands-on architecture experience with Google Cloud Platform, particularly Vertex AI and the broader Google Cloud AI ecosystem.
Experience designing solutions using generative AI and foundation models, ideally including Gemini and other models available through Google Cloud.
Strong understanding of data architecture and data engineering, including technologies such as BigQuery and integration between enterprise data platforms and AI workloads.
Good understanding of production MLOps and/or LLMOps, including deployment pipelines, model and prompt lifecycle management, evaluation, monitoring and observability.
Good understanding of Google Cloud infrastructure, networking, IAM and security architecture and how these apply to enterprise AI workloads.
Ability to design AI solutions that meet enterprise requirements for security, scalability, reliability, maintainability and cost efficiency.
Experience integrating AI capabilities with enterprise applications, APIs, data platforms and existing technology landscapes.
Experience leading technical teams and architecture discussions across multiple disciplines.
Ability to translate business objectives into technical architecture and explain architectural decisions and trade-offs to senior stakeholders.
Strong analytical, problem-solving and communication skills.
Master's or Bachelor's degree in computer science, engineering, information technology or another relevant field, or equivalent professional experience.
Excellent verbal and written communication skills in English. Finnish language skills are considered an advantage.
Resident in Finland.

Relevant Google Cloud certifications, such as Professional Cloud Architect, Professional Machine Learning Engineer or Professional Data Engineer, are considered an advantage.

Locations

Helsinki

Additional Information

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