Role Context & Reporting Line:

AI & Generative AI Engineering

• Design, build and deploy Generative AI and LLM-based applications, including end-to-end RAG agents and agentic / multi-agent solutions.
• Implement RAG pipelines: chunking strategies, embeddings, dynamic indexing, vector databases, vector indexing, grounding and evaluation.
• Build document intelligence solutions: OCR, classification, custom/neural extraction, table extraction and post-processing for unstructured data.
• Implement tool/function calling, prompt engineering, fine-tuning and guardrails for production AI agents.
• Integrate AI models into enterprise systems via APIs, Service Bus, web apps and downstream platforms.
• Experience/knowledge of fine-tuning generative AI models, MCP, AI tool calling, A2A and graph databases.

Cloud AI Solution Delivery Proficient in any of the following (At least 1 CSP) (Azure | AWS | GCP)

• Azure: Azure OpenAI, AI Foundry / Prompt Flow, AI Search, Cognitive Services, Document Intelligence, Functions, Container Apps, Web Apps, Synapse, Data Lake, DevOps CI/CD.
• AWS: Amazon Bedrock (Anthropic/Claude, Titan Embeddings), Lambda, S3 data lakes, Textract and supporting services for AI agents and RAG.
• GCP: Vertex AI, Cloud Run, Google AppSheet and supporting services for AI workloads.
• Microsoft Fabric & Power Platform: Copilot Studio, AI Builder, Power Apps, Power Automate for rapid AI / automation delivery.
• Databricks: notebooks, ML workflows, Lakehouse and Generative AI capabilities.
• Design and implement cloud AI architectures, including migration patterns across hyperscalers where required.

Data Engineering for AI (AI-Data Engineering)

• Design and implement reliable data pipelines (Python, SQL, PySpark) to support ML and AI workloads.
• Prepare, transform and manage structured and unstructured data for AI use cases (ingestion, ETL/ELT, modelling, lakehouse).
• Implement chunking, embedding, indexing and retrieval mechanisms across vector stores.
• Ensure data quality, lineage and governance alignment, including Purview / catalog tooling where applicable.

AIOps & Operationalisation

• Build CI/CD pipelines for ML and AI models (Azure DevOps, GitHub Actions or equivalent).
• Manage model deployment, monitoring, versioning and performance optimisation.
• Implement scalable, secure inference architectures (Container Apps, Lambda, Cloud Run, Functions).
• Apply Responsible AI, model risk, security and compliance practices (RBAC, Key Vault / Secrets Manager, VNets / Private Endpoints, Monitor / Log Analytics).

Consulting & Delivery

• Engage client stakeholders and translate business requirements into AI solution designs.
• Contribute to discovery, design, estimation, costing and commercial models.
• Communicate risks, trade-offs, model assumptions and limitations clearly to technical and business audiences.
• Produce solution architecture, status reports, SteerCo material, governance artefacts and user documentation.
• Support pre-sales, demos, PoCs and RFP responses; contribute to the AI capability roadmap and uplift of junior engineers.

Required Skills & Experience:

• Degree in Computer Science, Data Science, Engineering, Mathematics or a related quantitative field.
• 3+ years’ experience delivering AI / ML / data solutions, ideally in a consulting or enterprise delivery environment.
• 1–2+ years’ hands-on Generative AI engineering experience (LLMs, RAG, embeddings, vector DBs, prompt engineering).
• 3+ years’ broader ML / AI delivery experience (supervised ML, feature engineering, evaluation, NLP).
• Strong data engineering: pipelines, Python / PySpark, data modelling, lakehouse patterns.
• Cloud experience on at least one of Azure, AWS or GCP, with working knowledge of a second; containerisation and CI/CD.
• Experience integrating AI into enterprise systems via APIs, web apps and messaging.
• Business acumen: ability to link AI solutions to business value, ROI and risk.
• Strong communication, stakeholder management, collaboration and analytical skills.

Advantageous Certifications in Any of the following:

Certifications – AWS (AI / ML & Architecture)

• AWS Certified AI Practitioner.
• AWS Certified Machine Learning – Specialty.
• AWS Certified Machine Learning Engineer – Associate.
• AWS Certified Solutions Architect (Associate or Professional).
• AWS Certified Data Engineer – Associate.

Certifications – Microsoft Azure (AI & Data)

• Microsoft Certified: Azure AI Engineer Associate (AI-102).
• Microsoft Certified: Azure AI Fundamentals (AI-900).
• Microsoft Certified: Azure Data Scientist Associate (DP-100).
• Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) or Fabric Data Engineer Associate (DP-700).
• Microsoft Certified: Azure Data Engineer Associate (DP-203).
• Microsoft Certified: Azure Solutions Architect Expert (AZ-305).
• Microsoft Applied Skills credentials in Generative AI, Azure OpenAI, Semantic Kernel, Copilot, AI Builder or Document Intelligence.

Certifications – Google Cloud (AI & Data)

• Google Cloud Certified – Professional Machine Learning Engineer.
• Google Cloud Certified – Generative AI Leader.
• Google Cloud Certified – Professional Data Engineer.
• Google Cloud Certified – Professional Cloud Architect.
• Google Cloud Certified – Cloud Digital Leader.

Certifications – Other AI / Data Platforms

• Databricks Certified Generative AI Engineer Associate.
• Databricks Certified Machine Learning Associate / Professional.
• Databricks Lakehouse Fundamentals / Data Engineer.
• Anthropic / Claude developer credentials.
• NVIDIA Deep Learning Institute (DLI) certifications in Generative AI or LLMs.
• Harvard or other recognised Data Science / Machine Learning credentials.

Other Advantageous Experience

• Microsoft Fabric, Azure AI Foundry, Azure OpenAI and solution delivery experience.
• AWS Bedrock with Anthropic Claude, Titan Embeddings and Textract in production.
• GCP Vertex AI and Cloud Run delivery experience.
• Knowledge graphs, advanced RAG patterns, agent orchestration and multi-agent frameworks.
• Exposure to Model Risk Management (MRM), Architecture Review Boards and Responsible AI frameworks.
• Experience productising AI solutions and contributing to AI CoE / Target Operating Model design.
• Track record in pre-sales, RFPs, technical demos and client workshops.

Success Measures:

• Production-grade AI solutions deployed across Azure, AWS and / or GCP.
• Scalable, governed data and AI pipelines established and reused across engagements.
• Measurable contribution to revenue, pre-sales and RFP wins.
• Reduced time-to-production for new AI use cases through reusable patterns and accelerators.
• Demonstrable mentorship of junior engineers and uplift of the broader AI capability.
• High-quality stakeholder engagement, SteerCo and executive communication.

Please Note:
As all iqbusiness roles require honesty in the handling of or access to cash, finances, financial systems, or confidential information; our recruitment process requires that the following background checks be completed: credit, criminal, ID, and qualification verification.

iqbusiness is committed to sustainable growth and transformation, we embrace diversity and employ previously disadvantaged individuals.

iqbusiness is seeking experienced Scrum Masters, Agile Consultants and Agile Coaches for contract opportunities. This role offers the opportunity to create meaningful client impact by enabling improved delivery outcomes through the practical application of Agile values, principles, and ways of working.

Consultants will work within dynamic, evolving client environments, partnering with delivery and business teams to improve collaboration, enhance delivery performance, and support continuous improvement. The role is suited to practitioners who combine strong Agile fundamentals with a pragmatic, hands‑on consulting approach.

Key Responsibilities

Client Delivery & Engagement

•  Place the customer at the centre of all decision‑making and delivery activities.
• Apply pragmatic, hands‑on problem‑solving to support client teams and achieve sustainable delivery outcomes.
• Engage closely with business and delivery stakeholders to foster collaboration, alignment, and shared accountability.
• Operate effectively within complex organisational and governance environments, balancing compliance with innovation.

Agile Enablement & Team Support

• Apply Agile values and principles to guide ways of working and improve team delivery performance.
• Create a safe, supportive environment in which delivery teams can grow, collaborate, and perform at their best.
• Encourage effective communication practices, including strong interpersonal engagement and face‑to‑face collaboration where appropriate.
• Demonstrate resilience and adaptability within challenging or ambiguous client environments.

Coaching & Continuous Improvement

• Coach individuals and teams to improve Agile maturity, autonomy, and delivery capability.
• Promote servant leadership behaviours that enable team ownership and continuous learning.
• Support organisational change initiatives by modelling Agile thinking and mindset shifts.
• Encourage continuous improvement through inspection, adaptation, and evidence‑based decision‑making.

Agile Practice & Thought Leadership

• Contribute to collaboration and knowledge‑sharing within the iqbusiness Agility team.
• Stay informed of trends and practices relevant to modern delivery environments, including DevOps, SAFe, and emerging technologies such as AI.
• Apply experience gained from working within Agile teams to support evolving client needs and delivery contexts.

Requirements

Essential

• Matric qualification.
• Relevant tertiary qualification (Bachelor’s Degree, Diploma, or equivalent certification from an accredited institution).
• One or more recognised Agile certifications, such as:
  • Certified Scrum Professional (CSP)
  • Certified Scrum Master (CSM)
  • Professional Scrum Master (PSM I or PSM II)
  • PMI‑Agile Certified Practitioner (PMI‑ACP)
• Minimum of 3 years’ experience working within an Agile team, either as a Scrum Master or development team member.
• Solid understanding of Agile frameworks and practices, including Scrum, Kanban, and Lean Software Development.

Advantageous

• Additional relevant Agile, coaching, or scaling certifications.
• Experience consulting within client environments or working across multiple teams or initiatives.

Please Note:

As all iqbusiness roles require honesty in the handling of or access to cash, finances, financial systems, or confidential information; our recruitment process requires that the following background checks be completed: credit, criminal, ID, and qualification verification.

iqbusiness is committed to sustainable growth and transformation, we embrace diversity and employ previously disadvantaged individuals.

This role is suited to designers who can balance strategic thinking with hands‑on delivery, and who are comfortable engaging stakeholders while working closely with product and engineering teams.

Key Responsibilities

Product & Experience Design

• Design and deliver high‑quality, user‑centred digital product experiences across web and mobile platforms.
• Apply strong UX/UI principles to create intuitive, accessible, and visually engaging interfaces.
• Translate complex business and user needs into clear, effective design solutions across the end‑to‑end user journey.

Research, Journey Mapping & Design Thinking

• Plan and conduct user research activities, including discovery, validation, and usability testing.
• Create and maintain user journey maps, service journeys, and experience maps to understand end‑to‑end user interactions, pain points, and opportunities.
• Use journey mapping and research insights to inform design decisions, prioritisation, and experience improvements.
• Apply design thinking methodologies to frame problems, explore solutions, and iterate based on user and business feedback.

Collaboration & Delivery

• Work closely with product managers, developers, and cross‑functional teams throughout the delivery lifecycle.
• Partner with development teams to support accurate, high‑quality implementation of design solutions.
• Confidently engage stakeholders to gather requirements, facilitate design workshops (including journey mapping sessions), and present design concepts and outcomes.

Professional Practice

• Demonstrate curiosity and continuous learning, staying engaged with evolving design practices, tools, and trends.
• Quickly understand technical concepts and terminology to enable effective collaboration with engineering teams.
• Adapt design approaches to suit different client contexts, constraints, and delivery models common to consulting environments.

Requirements

Essential

• A professional portfolio showcasing recent and relevant product design work, including examples of journey mapping and end‑to‑end experience design.
• 4–8+ years’ experience in product design, UX/UI design, or a related discipline.
• Strong grounding in user‑centred design principles, interaction design, visual design, and design thinking.
• Proficiency in design tools such as Figma and/or Sketch.
• Proven experience collaborating within cross‑functional and, where applicable, internationally distributed teams.
• Excellent communication and stakeholder engagement skills.

Advantageous

• Experience designing products within regulated or complex environments (e.g. payments or financial services).
• Experience designing and facilitating journey mapping workshops with business and technical stakeholders.
• Exposure to mobile‑first and responsive design across multiple platforms.
• Experience working within Agile or fast‑paced delivery environments.
• Familiarity with modern design trends, design systems, and emerging tools or technologies.

Qualifications

• National Senior Certificate (or equivalent) from an accredited institution.
• Diploma or degree in Design, Human‑Computer Interaction, Visual Communication, or a related field.

Please Note:
As all iqbusiness roles require honesty in the handling of or access to cash, finances, financial systems, or confidential information; our recruitment process requires that the following background checks be completed: credit, criminal, ID, and qualification verification.

iqbusiness is committed to sustainable growth and transformation; we embrace diversity and employ previously disadvantaged individuals.

iqbusiness is seeking experienced Scrum Masters, Agile Consultants and Agile Coaches for contract opportunities. This role offers the opportunity to create meaningful client impact by enabling improved delivery outcomes through the practical application of Agile values, principles, and ways of working.

Consultants will work within dynamic, evolving client environments, partnering with delivery and business teams to improve collaboration, enhance delivery performance, and support continuous improvement. The role is suited to practitioners who combine strong Agile fundamentals with a pragmatic, hands‑on consulting approach.

Key Responsibilities

Client Delivery & Engagement

•  Place the customer at the centre of all decision‑making and delivery activities.
• Apply pragmatic, hands‑on problem‑solving to support client teams and achieve sustainable delivery outcomes.
• Engage closely with business and delivery stakeholders to foster collaboration, alignment, and shared accountability.
• Operate effectively within complex organisational and governance environments, balancing compliance with innovation.

Agile Enablement & Team Support

• Apply Agile values and principles to guide ways of working and improve team delivery performance.
• Create a safe, supportive environment in which delivery teams can grow, collaborate, and perform at their best.
• Encourage effective communication practices, including strong interpersonal engagement and face‑to‑face collaboration where appropriate.
• Demonstrate resilience and adaptability within challenging or ambiguous client environments.

Coaching & Continuous Improvement

• Coach individuals and teams to improve Agile maturity, autonomy, and delivery capability.
• Promote servant leadership behaviours that enable team ownership and continuous learning.
• Support organisational change initiatives by modelling Agile thinking and mindset shifts.
• Encourage continuous improvement through inspection, adaptation, and evidence‑based decision‑making.

Agile Practice & Thought Leadership

• Contribute to collaboration and knowledge‑sharing within the iqbusiness Agility team.
• Stay informed of trends and practices relevant to modern delivery environments, including DevOps, SAFe, and emerging technologies such as AI.
• Apply experience gained from working within Agile teams to support evolving client needs and delivery contexts.

Requirements

Essential

• Matric qualification.
• Relevant tertiary qualification (Bachelor’s Degree, Diploma, or equivalent certification from an accredited institution).
• One or more recognised Agile certifications, such as:
  • Certified Scrum Professional (CSP)
  • Certified Scrum Master (CSM)
  • Professional Scrum Master (PSM I or PSM II)
  • PMI‑Agile Certified Practitioner (PMI‑ACP)
• Minimum of 3 years’ experience working within an Agile team, either as a Scrum Master or development team member.
• Solid understanding of Agile frameworks and practices, including Scrum, Kanban, and Lean Software Development.

Advantageous

• Additional relevant Agile, coaching, or scaling certifications.
• Experience consulting within client environments or working across multiple teams or initiatives.

Please Note:

As all iqbusiness roles require honesty in the handling of or access to cash, finances, financial systems, or confidential information; our recruitment process requires that the following background checks be completed: credit, criminal, ID, and qualification verification.

iqbusiness is committed to sustainable growth and transformation, we embrace diversity and employ previously disadvantaged individuals.