Proficient AI COE

Role Purpose

To manage and governing discovery, delivery, and governance of enterprise AI across the organization, ensuring AI initiatives are business-outcome driven, responsibly governed, secure, and successfully adopted at scale. The role spans use‑case portfolio management, solution incubation, MLOps/LLMOps, and value realization through measurable KPIs.

Position Information

Title: Proficient, AI (COE)

Unit: Strategy and Innovation
Division: Center of Excellence
Location: Muscat
Grade:
Proficient: P5
Minimum role requirements:
Qualifications: Bachelor’s degree in Computer Science, Engineering, Data Science, or related field; advanced degree preferred. Certifications in cloud AI/ML (e.g., Azure AI Engineer, AWS Machine Learning, Google Professional ML Engineer) and Responsible AI are a plus.
Experience:

Proficient: A minimum of 7 years’ experience

Key Accountabilities

Drive discovery and prioritization of AI/ML use cases aligned to business value and strategic goals.
Govern intake, triage, and planning of AI initiatives with clear ROI and benefit tracking.
Conduct research on emerging AI technologies, including GenAI, RAG, vector search, and evaluation frameworks, to guide practical adoption.
Translate business problems into AI solution designs, ensuring data readiness and ethical considerations.
Lead PoCs with defined success criteria and scale successful pilots into production using MLOps/LLMOps practices.
Partner with business units to embed AI into processes and ensure adoption through enablement and change management.
Identify opportunities for AI-driven optimization, such as predictive analytics and generative solutions for knowledge work.
Develop reusable AI components, prompt libraries, and playbooks to accelerate delivery.
Monitor AI solution adoption using telemetry and feedback loops; continuously improve post-deployment.
Implement model observability, including drift detection, hallucination monitoring, latency, and cost metrics.
Maintain a value ledger with KPIs and FinOps metrics to measure business impact and cost efficiency.
Facilitate governance ceremonies for intake, risk reviews, and value realization checkpoints.
Conduct lifecycle reviews, bias testing, and Responsible AI audits for deployed models.
Establish CI/CD pipelines for models, feature stores, and automated evaluation workflows.
Enforce Responsible AI principles, privacy by design, and prompt/content safety for GenAI solutions.
Manage incident response for AI pipelines, including rollback and root cause analysis.
Design observability dashboards covering model quality, adoption, cost, and compliance metrics.
Build AI productization business cases with TCO, compliance costs, and time-to-value considerations.
Promote AI literacy, safe usage, and Responsible AI practices across the organization.

Proficient AI COE

Key Skills

Related Jobs

Backend Software Engineering Team Lead (Node.js)

CloudOps Trainee

Senior Software Developer

Related Jobs

Backend Software Engineering Team Lead (Node.js)

CloudOps Trainee

Senior Software Developer

Cookie Settings