Agentic AI Architect-Anthropic

About This Opportunity

We are representing a confidential technology consulting organization seeking an experienced Agentic AI Architect to join their UK-based team. This role offers the opportunity to shape enterprise-grade AI solutions at the intersection of generative AI, machine learning, cloud technologies, and intelligent automation. You will design scalable architectures that connect advanced AI capabilities with enterprise knowledge, applications, and mission-critical systems while maintaining a strong focus on responsible AI practices and governance.

Our client works with global organizations to deliver practical AI solutions that create measurable business value. This position offers significant technical ownership from discovery through deployment and optimization, with exposure to cutting-edge AI technologies and methodologies.

Responsibilities

• Architect, develop, deploy, and maintain scalable AI, machine learning, generative AI, and agentic AI solutions for enterprise use cases
• Define end-to-end architectures covering data ingestion, model selection, orchestration, APIs, integrations, monitoring, security, and governance
• Partner with business and technical stakeholders to identify high-value AI opportunities and translate requirements into technical designs
• Lead technical discovery sessions, architecture workshops, design reviews, proof-of-concepts, and solution delivery activities
• Design and implement LLM-powered applications using Claude and other appropriate AI platforms
• Apply prompt and context engineering techniques, including instruction design, few-shot examples, structured outputs, and long-context management
• Architect secure RAG solutions using enterprise documents, knowledge bases, and databases, including ingestion, chunking, embeddings, retrieval, and response generation
• Build agentic systems capable of reasoning over enterprise context, using authorized tools, executing multi-step tasks, and coordinating workflows
• Define agent roles, task boundaries, permissions, memory strategies, approval gates, and escalation paths
• Integrate AI agents and workflows with enterprise platforms, APIs, cloud services, databases, and operational systems
• Implement human-in-the-loop controls and safeguards for sensitive or high-impact actions
• Develop machine learning and NLP solutions for predictive analytics, classification, document intelligence, summarization, and intelligent automation
• Build data-processing, feature-engineering, and model pipelines that support reliable training and deployment
• Design AI solutions across AWS, Microsoft Azure, and/or Google Cloud platforms
• Establish AI evaluation frameworks, test suites, observability, monitoring, and feedback loops
• Implement responsible AI and security controls covering data privacy, access permissions, authentication, and output validation
• Create reusable implementation patterns, agent designs, and accelerators to support enterprise AI delivery
• Develop dashboards and reporting to demonstrate adoption, business value, and model quality
• Travel to clients and conferences as required

What We're Looking For

• 10+ years of professional experience applying AI, machine learning, data science, or intelligent automation to enterprise use cases
• Strong hands-on programming skills in Python and SQL, with experience using TensorFlow, PyTorch, Scikit-learn, or comparable frameworks
• Proven experience architecting or delivering AI/ML, LLM, RAG, conversational AI, or agentic AI solutions
• Strong understanding of software architecture, algorithms, object-oriented programming, APIs, and integration patterns
• Practical knowledge of LLM application development, including prompt engineering, context management, embeddings, vector search, and tool use
• Experience with data-science libraries such as Pandas, NumPy, Matplotlib, and Seaborn
• Hands-on experience with major cloud platforms, particularly AWS, Azure, and/or Google Cloud
• Experience with big-data technologies including Apache Spark and Snowflake
• Strong NLP experience with Hugging Face, transformer models, or comparable technologies
• Solid understanding of databases, query optimization, data warehousing, and ETL/ELT pipelines
• Experience with data visualization tools such as Tableau and Power BI
• Strong knowledge of responsible AI, including privacy, security, human oversight, and governed deployment
• Excellent communication and stakeholder-management skills
• Ability to work effectively in a rapidly evolving technology environment
• Experience with Claude and related implementation practices is highly desirable
• Familiarity with Model Context Protocol concepts and secure approaches to connecting AI applications with enterprise tools is a plus
• Experience designing AI agents, multi-agent systems, and orchestration workflows is advantageous
• Familiarity with frameworks such as LangChain, LangGraph, LlamaIndex, or Semantic Kernel is a plus
• Experience with vector databases, semantic retrieval, and RAG evaluation is desirable
• MLOps, LLMOps, CI/CD, Docker, Kubernetes, and infrastructure as code experience is beneficial
• Bachelor's degree in Computer Science, Data Science, AI/ML, Engineering, or related technical discipline is preferred; equivalent relevant experience also considered
• Advanced degrees and relevant AI, cloud, or data certifications are advantageous

How We Work With You

Get A Job.ai is managing this search on behalf of our client. When you apply through our platform, one of our experienced recruiters will review your qualifications and conduct an initial screening. Qualified candidates will be presented to our client for consideration. Please do not contact the client directly, as all applications and communications must go through Get A Job.ai to be considered for this position.

Pay

Compensation details will be discussed with qualified candidates during the screening process based on experience and qualifications.

Equal Employment Opportunity: Get A Job.ai is committed to creating a diverse and inclusive recruitment process. We welcome applications from all qualified candidates regardless of race, color, religion, sex, national origin, age, disability, or any other protected characteristic.