Generative AI Architect (Open AI) Professional Services

ZipRecruiter; London; On-site; GBP 70,000 - 110,000; Full time

Job summary

ZipRecruiter seeks a Generative AI Architect to lead the design and implementation of advanced AI solutions for professional services. This role involves creating scalable AI architectures, developing AI algorithms, and ensuring ethical AI deployment while working collaboratively with cross-functional teams. Ideal candidates will have a strong academic background in Computer Science along with practical expertise in AI systems.

Qualifications

• Expertise in AI-driven decision automation and scalable architecture.
• Strong programming skills in Python, R, and Java.
• Experience in deploying AI models on cloud platforms.

Responsibilities

• Architect scalable AI solutions for professional services.
• Develop AI algorithms for predictive analytics and automation.
• Collaborate with teams to integrate AI into existing business systems.

Skills

Large Models (LLMs)

Prompt Engineering

AI Workloads

High-Performance Computing (HPC)

Problem Solving

Effective Communication

Education

Bachelor's or Master's degree in Computer Science, AI, Data Science

Tools

TensorFlow

PyTorch

Keras

Hadoop

Spark

Job description

Job Description

Job Title: Generative AI Architect – Professional Services

Job Description:

We are seeking a strategic and highly skilled Generative AI Architect to lead the design and implementation of advanced AI solutions tailored for professional services. This role requires expertise in AI-driven decision automation, data-driven insights, and scalable architecture to enhance business processes and client outcomes.

As a key member of our team, you will architect solutions that learn, reason, and make intelligent decisions, enabling AI to drive efficiency, innovation, and competitive advantage across multiple domains.

Key Responsibilities

AI Systems Architecture & Business Impact

• Design and develop scalable AI architectures that integrate seamlessly with existing business systems.
• Ensure AI models support enterprise-grade workloads, focusing on efficiency, adaptability, and security.

Algorithm & Model Development

• Develop and optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services.
• Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence.

Data Engineering & Integration

• Architect robust data pipelines to support AI model training and inference.
• Implement automated data collection, integration, cleansing, and transformation techniques to ensure high-quality data inputs.
• Collaborate with data engineering teams to align AI solutions with real-world business applications.

AI Model Training, Evaluation & Performance Optimization

• Train AI models using supervised, unsupervised, and reinforcement learning techniques, refining them based on business insights.
• Define model performance metrics to ensure AI solutions deliver tangible value.

Real-Time AI Applications & System Integration

• Work alongside software engineers and business consultants to integrate AI solutions into professional services applications.
• Ensure AI components interact seamlessly with enterprise platforms such as CRM, ERP, workflow automation tools, and analytics dashboards.

Ethical AI & Compliance

• Embed AI fairness, transparency, and accountability principles into AI systems, ensuring ethical AI deployment.
• Stay updated on AI governance policies and compliance frameworks related to professional services and enterprise AI applications.

Research, Innovation & AI Strategy

• Stay at the forefront of AI advancements, frameworks, and cloud technologies.
• Lead AI-driven strategic initiatives, exploring innovative approaches for automation, personalization, and efficiency enhancement.

Stakeholder Collaboration & Communication

• Work closely with executive teams, data scientists, business strategists, and IT professionals to align AI solutions with corporate objectives.
• Present complex AI concepts in a clear, accessible manner to both technical and non-technical stakeholders.

Mandatory Qualifications & Skills

• Bachelor's or master's degree in Computer Science, AI, Data Science, or related fields.
• Expertise in large models (LLMs) and prompt engineering for business applications.
• Strong programming skills (Python, R, Java) for AI model development and deployment.
• Familiarity with AI libraries and frameworks (TensorFlow, PyTorch, Keras).
• Experience deploying AI models in cloud computing environments (AWS, Azure, Google Cloud).
• Deep understanding of enterprise AI architecture, data engineering, and model optimization.
• Strong problem-solving skills, with a business-driven approach to AI implementation.
• Effective communication and collaboration skills in cross-functional teams.

Skills

• High-Performance Computing (HPC) and AI workloads for large-scale enterprise solutions.
• NVIDIA CUDA, cuDNN, TensorRT experience for deep learning acceleration.
• Big Data platforms (Hadoop, Spark) for AI-driven analytics in professional services.

Pls share CV at [e-mail]