Senior AI Technical Advisor
The Senior AI Technical Advisor provides specialist advisory on AI/ML-enabled capabilities across the platform — including the Rules Engine's risk-scoring models and OCR/AI-assisted processing — ensuring architectural soundness, responsible-AI practice, and realistic delivery expectations.
Experience · 12+ years in software/AI engineering with 5+ years in an AI/ML technical advisory or lead role.
Artificial Intelligence
Remote
Contract
Work from office
Immediate
About the role
What you’ll be working on and why this role matters.
The Senior AI Technical Advisor provides specialist technical guidance on AI/ML-enabled capabilities across the platform, including the Rules Engine's risk-scoring models, OCR, intelligent document processing, and AI-assisted workflows.
The role advises the Enterprise Architect, Data Architect, Engineering teams, and delivery pods on AI/ML architecture, data requirements, model selection, integration, scalability, performance, and production readiness, ensuring that AI solutions align with the overall platform architecture.
The advisor also provides guidance on model accuracy, validation, explainability, bias, privacy, security, monitoring, and human oversight, promoting responsible and trustworthy AI practices. Working closely with business and engineering stakeholders, the role assesses the technical feasibility, risks, dependencies, and delivery complexity of proposed AI capabilities, helping ensure that expectations and programme commitments remain realistic.
Ultimately, the Senior AI Technical Advisor acts as the AI/ML technical authority for the programme, ensuring that AI-enabled capabilities are architecturally sound, responsibly designed, practically deliverable, and fit for production use.
Responsibilities
Day-to-day ownership and impact areas.
Advise on AI/ML architecture for risk scoring, case-review assistance, and document/OCR processing.
Other open roles
Explore more opportunities at Triwinz
Review proposed AI/ML approaches for technical soundness, bias risk, and explainability before build.
Advise the Enterprise Architect and Engineering Manager on AI-related technical risk and delivery estimates.
Support definition of model evaluation, monitoring, and retraining practices for production AI components.
Advise on responsible-AI and data-governance considerations for AI-assisted decisioning.
Support vendor/tooling evaluation for AI platforms, model hosting, and MLOps tooling.
Provide technical guidance to engineering teams implementing AI-assisted features.
Support client-facing discussions on AI capabilities and limitations as directed by the Engineering Leader.
Requirements
Skills and experience that will help you succeed.
Experience: 12+ years in software/AI engineering with 5+ years in an AI/ML technical advisory or lead role.
ML: Strong understanding of applied ML — risk scoring, classification, and model evaluation practice.
Architecture: Ability to advise on AI/ML system architecture within a broader microservices platform.
Governance: Familiarity with responsible-AI, explainability, and bias-mitigation practice.
Communication: Able to advise both technical teams and non-technical stakeholders on AI capabilities and limits.
Domain: Prior advisory experience on high-assurance, regulated, or government-adjacent systems preferred.
Qualifications and certifications
Education and credentials that support this role.
Master's or PhD in Computer Science, AI/ML, or related field (or equivalent demonstrable seniority).
Relevant AI/ML certification or published/applied work preferred.
Nice to have
Bonus strengths — not required, but valued.
Experience with document/OCR AI processing specifically.
Exposure to MLOps tooling and production model monitoring.
Government or public-sector AI advisory experience.
Interested in this role?
Submit your application and our team will get back to you soon.
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