Job highlights

- Experience delivering AI and data solutions on Microsoft Azure and Microsoft Fabric,or comparable enterprise cloud platformsshaping enterprise architecture,platform strategy,engineering governance,or cross-product technology roadmaps
- Bachelor s degree in Computer Science,Engineering,Data Science,or a related field is preferred
- Required Skills Qualifications
- Preferred Skills

The Software Engineer - Expert or Lead Consultant is a hands-on senior individual contributor who architects, builds, and operates complex digital products across AI, agentic systems, semantic technologies, data engineering, and cloud platforms. The role provides cross-product technical leadership, guides engineering teams, resolves critical technical challenges, and owns production performance and measurable product outcomes.

Key Responsibilities

- Serve as a recognised expert across business domains and technology stacks, sharing standards and reusable practices across the organisation.
- Align cross-product technical strategy with product managers, architects, engineering peers, and key stakeholders.
- Shape product architecture and design, balancing scalability, security, resilience, performance, operability, cost, and delivery speed.
- Lead discovery, scoping, inception, and iteration planning, translating product outcomes into system designs, technical backlogs, and delivery plans.
- Direct complex, business-critical engineering initiatives spanning teams, products, sites, or platforms.
- Remain hands-on by building critical components, validating designs, reviewing code, and resolving complex technical issues.
- Architect AI-enabled and data-intensive products, including agentic AI, LLM services, semantic technologies, knowledge graphs, and data pipelines.
- Establish CI/CD, automated quality gates,



secure engineering practices, and reliable release automation.
- Own production readiness and operational excellence across reliability, observability, security, performance, incident response, and product KPIs.
- Act as the team s technical anchor, guiding technology choices, resolving conflicts, and addressing cross-team risks and dependencies.
- Coach engineers in paired programming, test-driven development, secure coding, and knowledge sharing across the engineering community.

Required Skills Qualifications

- 10+ years of software engineering experience, including technical leadership of complex, production-grade products or platforms.
- Expertise in software architecture, distributed and cloud-native system design, hands-on development, automated testing, CI/CD, security, observability, and production operations.
- Robust programming capability in Python and at least one additional modern language, with the ability to guide implementation and resolve complex issues at code level.
- Proven experience architecting and delivering LLM-based and agentic AI systems, including model and agent evaluation, MLOps/LLMOps, AI observability, and responsible AI controls.
- Strong knowledge of semantic technologies, including RDF, OWL, enterprise ontologies, knowledge graphs, SPARQL, semantic alignment, and ontology mapping.
- Experience with data engineering and analytics patterns,



including ETL/ELT, lakehouse architecture, dimensional modelling, metadata-driven pipelines, and enterprise data models.
- Experience delivering AI and data solutions on Microsoft Azure and Microsoft Fabric, or comparable enterprise cloud platforms.
- Demonstrated ability to lead architecture decisions across teams and products, mentor experienced engineers, establish standards, and influence product, engineering, data, security, and business stakeholders.
- Experience owning production outcomes and using reliability, customer, and business KPIs to drive technical priorities and continuous improvement.

Preferred Skills

- Experience shaping enterprise architecture, platform strategy, engineering governance, or cross-product technology roadmaps.
- Experience with enterprise data catalogues, canonical models, or AI-assisted analytics and natural-language-query solutions.
- Relevant cloud, data, architecture, or AI certifications.

Education

- Bachelor s degree in Computer Science, Engineering, Data Science, or a related field is preferred. An equivalent combination of education and relevant professional experience may be considered.

Experience

- 10 or more years of experience (Preferred)

Supervisory Responsibilities

- This job does not have supervisory duties

Education Experience (in lieu)

- In lieu of the above education requirements, an equivalent combination of education and experience may be considered

Primary Skills

Software Development Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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