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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and developing enterprise AI solutions, with a strong focus on Python programming, cloud platforms like Azure, AWS, and GCP, and adherence to security and governance standards. Capable of translating client requirements into scalable technical designs while providing leadership in AI architecture and best practices.
Highest-signal resume keywords
Python DevelopmentAI Solution ArchitectureAzure, AWS, GCP DeploymentGenerative AI and LLMsStakeholder Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Development FrameworksPrompt EngineeringEmbeddingsRAG ArchitecturesSystems IntegrationEnterprise Application DevelopmentData ScienceTechnical Solution DesignCloud TechnologiesSecurity Controls
Soft Skills
CollaborationProblem-SolvingCommunicationStakeholder Management
Certifications & Qualifications
Degree in Computer ScienceDegree in Information SystemsDegree in EngineeringDegree in MathematicsDegree in Data Science
Industry Keywords
Agentic AIGenerative AIResponsible AIGovernancePrivacyConsultingProfessional Services
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPython
About the role
Key responsibilities & impact- Design and develop enterprise AI solutions focused on Agentic AI, Generative AI, and RAG architectures
- Understand client business requirements and translate them into scalable technical solution designs
- Build, integrate, and optimize AI applications using Python and leading AI development frameworks
- Implement and enhance AI solutions through prompt engineering, embeddings, orchestration frameworks, and security controls
- Develop solutions on Azure, AWS, and Google Cloud Platform using modern AI and data services
- Collaborate with architects, data scientists, software engineers, and business stakeholders throughout the project lifecycle
- Provide technical leadership on AI solution architecture, best practices, and technical delivery
- Monitor advancements in LLMs, Agentic AI, cloud technologies, and emerging AI frameworks
- Support business development activities, client workshops, proof-of-concepts, and solution demonstrations
- Ensure AI solutions align with security, governance, Responsible AI, and enterprise architecture standards
Requirements
What you’ll need- Degree in Computer Science, Information Systems, Engineering, Mathematics, Data Science, or a related STEM discipline, or equivalent professional experience
- Strong experience developing AI solutions using Python and modern AI frameworks such as LangChain or similar technologies
- Deep understanding of LLM architectures, Generative AI, Agentic AI concepts, RAG frameworks, embeddings, and prompt engineering
- Experience designing and deploying solutions on Azure, AWS, or GCP cloud platforms
- Experience working in a technical client-facing role, preferably delivering AI or data-driven transformation programmes
- Strong understanding of AI solution architecture, systems integration, and enterprise application development
- Ability to communicate complex technical concepts effectively to both technical and non-technical audiences
- Experience working in consulting or professional services environments is advantageous
- Knowledge of security, privacy, governance, and Responsible AI practices
- Strong stakeholder management, problem-solving, and collaboration skills
Benefits
Comp & perks- Knowledge sharing and learning opportunities
- Skills development and professional growth
- Experience and connections to shape your future
- Opportunity to work with a global AI-powered business and technology transformation partner
- Blend of company offices, client sites, and home working
