Latest Job Vacancies at Deloitte Nigeria - Up to 4 Roles

Key Responsibilities

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• Lead technical discussions with business and functional analysts to gather requirements and assess system integration impacts
• Design, develop, and optimize agentic AI systems, including autonomous agents, multi-agent frameworks, and LLM-powered solutions
• Integrate AI solutions into existing enterprise platforms and workflows
• Research emerging agentic AI tools, models, and frameworks and evaluate their applicability
• Deploy AI agents into production environments and monitor performance, reliability, and safety
• Build feedback mechanisms to continuously improve agent behavior and outcomes
• Establish and enforce technical design standards, templates, and best practices
• Provide technical leadership, conduct code reviews, and mentor team members
• Ensure AI solutions comply with ethical standards, regulatory requirements, and internal governance policies
• Communicate complex technical concepts clearly to both technical and non-technical stakeholders
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• Develop AI and machine learning solutions that deliver measurable business and customer outcomes
• Act as a technical advocate, ensuring solution feasibility, code quality, and alignment with business objectives
• Lead requirement analysis, system design, development, testing, and integration activities
• Build scalable, maintainable, and high-quality code using modern engineering practices
• Apply AI, ML, and GenAI techniques to enhance product functionality and performance
• Collaborate with product, design, and delivery teams to create customer-centric solutions
• Adopt agile, iterative development approaches focused on learning and continuous improvement
• Engage with stakeholders to translate business requirements into technical solutions
• Communicate complex technical ideas clearly and influence decision-making through evidence-based reasoning
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• Architect scalable, secure, and high-performance data platforms
• Lead the development of data ingestion, transformation, and governance pipelines
• Manage data engineering workstreams across AI transformation and analytics modernization programs
• Design modern data architectures such as Data Lakehouse, Delta Lake, and Data Mesh
• Build and scale cloud-native data infrastructure on AWS, Azure, or GCP
• Drive best practices in data modeling, quality, metadata management, and governance
• Mentor data engineers, conduct code reviews, and ensure delivery quality
• Collaborate with AI, strategy, and business consulting teams to deliver end-to-end data solutions
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• Design, develop, and deploy full-stack applications using modern frameworks and architectures
• Provide technical leadership across product design, development, testing, and deployment
• Ensure high code quality, scalability, security, and performance
• Collaborate with cross-functional teams including product, UX, and delivery
• Drive agile, iterative delivery using DevSecOps and CI/CD practices
• Mentor engineers, conduct code reviews, and promote engineering best practices
• Translate business needs into robust technical solutions aligned with long-term goals
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Requirements

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• Bachelor’s degree in Computer Science, Software Engineering, or a related field with a minimum of Second Class Upper
• At least five credits in WASSCE or NECO, including Mathematics and English, obtained in one sitting
• 6–10 years of hands-on experience in Artificial Intelligence, Machine Learning, or related fields
• Proven experience developing GenAI or AI/ML solutions from concept to production
• Strong knowledge of agentic AI frameworks such as LangChain, LangGraph, AutoGen, MCP, and LLM architectures
• Proficiency in Python, FastAPI or Flask, and SQL
• Experience with cloud platforms such as AWS, Azure, or GCP
• Solid understanding of DevOps, CI/CD pipelines, Docker, Kubernetes, and cloud-based AI deployments
• Knowledge of reinforcement learning, planning algorithms, and multi-agent systems
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• APPLY HERE: Senior Consultant- Agentic AI Engineer
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• Bachelor’s degree in Computer Science, Software Engineering, or a related discipline with a minimum of Second Class Upper
• Master’s degree is an added advantage
• Minimum of five credits in WASSCE or NECO, including Mathematics and English, obtained in one sitting
• At least 5 years of experience in AI/ML, with the last 2 years focused on GenAI technologies
• Strong experience with Python, R, TensorFlow, PyTorch, Keras, NLP, and ML libraries
• Hands-on experience with OpenAI, Gemini, Claude, LangChain, vector databases, prompt engineering, and fine-tuning
• Experience with big data technologies and modern web frameworks such as Angular, React, NodeJS, and .NET
• Strong cloud-native engineering experience on AWS, Azure, or GCP
• Knowledge of Agile, DevSecOps, CI/CD, GitHub, SonarQube, and modern SDLC practices
• Excellent communication, collaboration, and organizational skills
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• APPLY HERE: AI / Machine Learning Engineer
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• Bachelor’s degree in Computer Science, Software Engineering, or related discipline with a minimum of Second Class Upper
• Minimum of five credits in WASSCE or NECO, including Mathematics and English, obtained in one sitting
• At least 8 years of experience in data engineering, with 2+ years in a leadership role
• Strong experience with Spark, DBT, Kafka, Airflow, and modern ETL/ELT tools
• Proficiency in Python and SQL; Scala or Java is an advantage
• Deep experience with cloud data services such as BigQuery, Redshift, Synapse, and Dataflow
• Familiarity with CI/CD, infrastructure-as-code, and data security frameworks
• Experience delivering enterprise-scale data modernization programs
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• APPLY HERE: Data Engineer – Manager – AI & Data
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• Bachelor’s degree in Computer Science, Software Engineering, or related field with a minimum of Second Class Upper
• Minimum of five credits in WASSCE or NECO, including Mathematics and English, obtained in one sitting
• At least 7 years of experience with technologies such as Angular, React, NodeJS, Python, Java, C#, Golang, SQL, and NoSQL
• Strong experience with cloud-native and microservices architectures on AWS, Azure, or GCP
• Advanced knowledge of Agile, DevSecOps, CI/CD, and modern SDLC tools
• Experience with AI, ML, or GenAI solutions is a strong advantage
• Proven leadership experience in transformation or modernization projects
• Excellent communication, collaboration, and stakeholder management skills
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• APPLY HERE: Full-Stack Developer – Manager
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