AI Consultant LLM Application Frameworks

VerityX Talent; United Arab Emirates; On-site; AED 600,000 - 900,000; Full time

Job summary

VerityX Talent is seeking an experienced leader to own the end-to-end delivery of applied AI and agentic workflow projects within a bank environment. You will govern architectural choices for LLM orchestration and secure integrations, while steering multiple workstreams to production readiness and regulatory defensibility.

You will partner with product, risk, compliance and core IT to ensure technical designs meet banking standards, drive velocity, and build a durable delivery capability across

Qualifications

• 16+ years in software engineering, delivery and digital transformation.
• 10+ years in enterprise AI systems and delivery management.
• Proven track record shipping large-scale technical projects in regulated environments.

Responsibilities

• Own end-to-end delivery of applied AI and agentic workflow projects across the bank.
• Drive engineering velocity and remove roadblocks to ensure on-time delivery.
• Set and enforce standards for LLM orchestration, multi-agent frameworks, and secure bank integrations.
• Incorporate model evaluation, monitoring and rollback into production AI systems.
• Report milestones and trade-offs to executives in clear terms.
• Collaborate with product, risk, compliance and IT to meet regulatory requirements.
• Build and mentor a delivery-focused applied AI function with durable standards.

Skills

Software engineering

Delivery management

Enterprise AI systems

Regulatory compliance

Stakeholder management

Azure

LangGraph

AutoGen

Azure ML

MLOps

Tools

Azure

LangGraph

AutoGen

Azure ML

MLOps

Job description

This role owns the full delivery lifecycle of applied AI across the bank, from technical architecture decisions through production deployment. It bridges deep technical judgment with direct accountability for projects shipping, running reliably, and holding up under regulatory scrutiny. The position reports into the VP of Digital Channels and is critical for transitioning AI ambition into production infrastructure.

The role requires significant technical depth to make and defend architecture decisions on LLM orchestration, multi-agent systems, and vector infrastructure. This is combined with the delivery discipline needed to manage timelines, budgets, and cross-functional dependencies within a regulated organization. As applied AI scales beyond isolated pilots into embedded, revenue- and risk-relevant infrastructure, this role ensures technical integrity is maintained.

Key Mandate:

Own end-to-end delivery of applied AI and agentic workflow projects across the bank, with direct accountability for technical architecture decisions, delivery timelines, production reliability, and regulatory defensibility.

Key Responsibilities:

• **Delivery Ownership:** Manage the entire delivery lifecycle of applied AI and agentic workflow projects, from prototyping through secure, monitored production deployment, across multiple concurrent workstreams.
• **Execution Management:** Drive engineering velocity, remove technical and organizational roadblocks, and ensure projects ship on time and within budget without compromising production readiness.
• **Technical Architecture Governance:** Set and enforce standards for LLM orchestration, multi-agent frameworks, vector databases, and secure banking integrations across all applied AI projects.
• **Risk-Aware AI Delivery:** Incorporate model evaluation, monitoring, and rollback capabilities into every production AI system from the outset to detect and contain failures.
• **Stakeholder Communication:** Present project milestones, technical trade-offs, and delivery status to executive committees and senior management in clear, decision-ready terms.
• **Cross-Functional & Risk Alignment:** Partner with product heads, risk, compliance, and core IT to ensure technical designs meet banking regulatory requirements proactively.
• **Team & Capability Building:** Build and mentor a delivery-focused applied AI function, establishing engineering standards that have lasting impact.

Technical Environment:

• LLM orchestration and multi-agent frameworks: LangGraph, AutoGen, and comparable production frameworks.
• Vector databases and retrieval infrastructure at bank scale.
• Cloud-native, secure banking integration patterns and core banking API architectures.
• Model evaluation, monitoring, and rollback tooling for production AI systems.
• Program and delivery management across regulated, multi-team engineering organizations.

Ideal Candidate Profile:

• **Experience:** 16+ years in software engineering, technical delivery, or digital transformation, with 10+ years specializing in enterprise AI systems and delivery management.
• **Delivery Track Record:** Proven history of owning and shipping complex, large-scale technical projects in regulated environments (banking/fintech preferred).
• **Technical Depth:** Strong, current fluency in modern AI stacks, multi-agent frameworks (LangGraph, AutoGen), and cloud-native architecture.
• **Executive Presence:** Outstanding stakeholder management and board-level presentation skills.
• **Regulatory Fluency:** Working understanding of banking regulatory expectations around AI risk, model governance, and data protection.

Technical Skills:

• **Data Platform:** Microsoft Azure, Microsoft Fabric, Azure Data Lake Gen2, Azure Synapse, Azure Databricks, Unity Catalog, Delta Lake/Delta Tables, Delta Live Tables (DLT).
• **Data Engineering:** Azure Data Factory (ADF), Event Hub, Kafka, Spark, PySpark, SQL, Python.
• **AI & ML:** Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Machine Learning, MLflow, MLOps, Feature Store.
• **Agentic AI:** LLMs (GPT, Gemini, Claude, Llama), LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, MCP (Model Context Protocol), RAG, GraphRAG, Vector Databases.
• **Architecture:** Lakehouse, Data Mesh, Event-Driven Architecture, Microservices, API-led Integration, Kubernetes, CI/CD, Terraform.
• **Governance & Security:** Entra ID, Key Vault, RBAC, AI Guardrails, Responsible AI, PCI DSS, GDPR/UAE PDPL.