Qureos Mentor

Fecundity Technologies

Role Overview: The Workflow Engineer designs and implements the business process orchestration layer of AWA using Orkes Conductor &mdash; the outer shell that holds LangGraph agent cognition together into coherent, durable, observable banking workflows. You translate complex banking process requirements (cheque clearing SLAs, HITL wait policies, compensating transaction rules, retry strategies) into Orkes workflow definitions. You are the primary integrator between the AWA AI Gateway, LangGraph agents, ICCS, Core Banking, and the Ops HITL interface.Key Responsibilities<ul><li>Orkes workflow design: Design and implement Orkes Conductor workflow definitions for all AWA use cases &mdash; defining task sequences, sub-workflow compositions, HITL Wait tasks, fork/join parallel execution patterns, and SLA-governed task timeouts.</li><li>HITL integration: Configure Orkes Human Task definitions used for HITL reviewer queue routing; implement HITL resume logic that correctly restores LangGraph checkpoint state after reviewer decision (Approve/Edit/Reject).</li><li>Compensating transactions: Design and test compensating workflows triggered on downstream failure (e.g. ICCS or Core Banking posting failure after IDP approval); ensure idempotency of all compensation steps via awa_job_id deduplication.</li><li>Retry and resilience: Configure Orkes task retry policies (fixed, exponential backoff with jitter), circuit breakers, and dead-letter queue (DLQ) handling for all task failure modes.</li><li>Orkes integration with LangGraph: Design the interface between Orkes tasks and LangGraph agent invocations: passing awa_job_id through task inputs/outputs, managing LangGraph execution as Orkes worker tasks, handling LangGraph errors as Orkes task failures.</li><li>awa_job_id propagation: Ensure awa_job_id is correctly passed through every Orkes task input and output; validate via integration tests that awa_job_id is present and correct in every downstream system record.</li><li>Workflow observability: Configure Orkes workflow metrics export to Azure Monitor; build Orkes-specific KQL queries for task failure rates, workflow duration distribution, HITL queue depth, and retry rate by use case.</li><li>New use case onboarding: Lead the workflow design for each new AWA use case: define the workflow skeleton, agree task SLAs with the business, design the HITL routing policy, and build the workflow test suite.</li></ul>Required Skills and ExperienceTechnical &mdash; Essential<ul><li>5+ years in workflow orchestration engineering: Orkes Conductor, Apache Conductor, Temporal, or Apache Airflow</li><li>Strong understanding of distributed systems concepts: idempotency, at-least-once delivery, eventual consistency, saga patterns</li><li>Experience designing long-running durable workflows with human approval steps</li><li>Python or Java for Orkes worker implementation</li><li>REST API design: understanding of webhook patterns for async workflow resume</li><li>JSON/YAML workflow definition authoring; schema validation</li></ul>Technical &mdash; Advantageous<ul><li>Orkes Conductor specifically &mdash; familiarity with Orkes Cloud, worker SDK, Human Task definitions</li><li>LangGraph or LangChain awareness &mdash; understanding agentic execution models that Orkes orchestrates</li><li>Kafka consumer group management &mdash; for event-driven Orkes workflow triggers</li><li>Azure Monitor, Log Analytics &mdash; for Orkes metric export and alerting</li><li>Banking process knowledge &mdash; STP, clearing windows, exception handling flows</li></ul>Qualifications<ul><li>Bachelor's degree in Computer Science, Software Engineering, or equivalent</li><li>Demonstrable experience with production workflow orchestration systems managing thousands of daily workflow instances</li></ul>Pay: AED17,000.00 - AED21,000.00 per monthWork Location: In person

Workflow Engineer — Orkes Conductor

Role Overview: The Senior AI Engineer leads the technical delivery of one or more AWA use cases end-to-end, from Agent Profile definition through to production UAT sign-off. You own the architectural decisions within your use case domain: agent graph topology, confidence calibration, HITL threshold negotiation with the business, and the regression testing regime. You mentor AI Engineers and are the primary escalation point for complex LangGraph, LLM, and evaluation challenges. You are expected to identify failure modes before they reach production and to drive the adoption of new AWA capabilities across the use case portfolio.Key Responsibilities<ul><li>Use case technical ownership: Own the technical delivery of one or more AWA use cases from discovery through production; define the Agent Profile, Use Case Manifest, Data Manifest, and Tool Authorisation Matrix for each use case.</li><li>Architecture and design: Design LangGraph agent graph topologies for complex multi-agent pipelines including Supervisor-Worker fan-out, parallel execution, state compression, and cross-document reconciliation (3-way match).</li><li>Confidence calibration and HITL thresholds: Lead the AI Metric Baselines calibration process: measure ECE, derive HITL routing thresholds empirically, present threshold recommendations to business and risk teams, and own the signed AI Metric Baselines table.</li><li>Test strategy ownership: Own and execute the full AWA IDP Test Strategy for your use cases: all four testing bands (Model/Prompt/Agent/Security, Adversarial, Integration, UAT) through to sign-off.</li><li>Agent Regression Testing: Maintain the Golden Dataset and Regression Dataset for your use cases; configure CI/CD regression pipeline gates; review regression results after every model or prompt change.</li><li>Mentoring and code review: Mentor AI Engineers; conduct substantive technical code reviews of agent graphs, prompts, and MCP tool implementations; maintain AWA coding standards.</li><li>Stakeholder engagement: Present model quality metrics, STP rates, and HITL rates to Ops leads and business owners; recommend threshold adjustments with data-backed rationale.</li><li>New capability adoption: Evaluate and prototype new AI capabilities (new Azure AI Foundry models, new LangGraph features, new RAG patterns) for incorporation into the AWA accelerator catalogue.</li></ul>Required Skills and ExperienceTechnical &mdash; Essential<ul><li>5+ years Python development; 2+ years in production AI/ML engineering</li><li>Deep LangGraph or equivalent agentic framework experience: graph topology, state management, conditional edges, checkpoint-based recovery</li><li>LLM evaluation expertise: F1 measurement against ground truth, Expected Calibration Error (ECE), hallucination detection, confidence calibration</li><li>Prompt engineering at scale: versioned prompts, sensitivity analysis, few-shot dataset curation, PMS governance</li><li>RAG architecture: hybrid retrieval (BM25 + vector), re-ranking, chunk citation, grounding verification</li><li>Azure AI Foundry or equivalent LLM inference platform: PTU, PAYG, token budget management, APIM integration</li><li>Workflow orchestration: Orkes Conductor or Temporal &mdash; HITL wait tasks, retry policies, compensating transactions</li><li>CI/CD pipeline integration for ML: Azure DevOps, MLflow experiment tracking, model registry promotion</li></ul>Technical &mdash; Advantageous<ul><li>Computer vision model deployment and evaluation (object detection &mdash; TPR/TNR/IoU)</li><li>Azure AI Document Intelligence: form recogniser, custom models, layout analysis</li><li>Kubernetes / AKS: workload identity, namespace isolation, KEDA autoscaling</li><li>Apache Iceberg, DuckDB, and data contract patterns</li><li>Banking domain knowledge: cheque clearing, trade finance, KYC, AML</li></ul>Qualifications<ul><li>Bachelor's degree in Computer Science, AI/ML, or equivalent; Master's preferred</li><li>Azure AI Engineer Associate or equivalent certification</li><li>Demonstrable production AI deployments &mdash; case studies or public work highly valued</li></ul>Pay: AED21,000.00 - AED30,000.00 per monthWork Location: In person

Senior AI Engineer

Role Overview: We are looking for a Senior Platform Engineer to design, build, and scale Azure cloud and hybrid-cloud ecosystems from the ground up for a large Financial Enterprise. You will be responsible for creating a robust foundation for our application teams, with a specific focus on operationalizing AI services, maintaining rigorous security standards, and optimizing cloud spend through FinOps best practices.Key Responsibilities:<ul><li>Greenfield Infrastructure: Architect and deploy production-ready Azure environments from scratch using a landing zone approach.</li><li>AI Orchestration: Integrate and manage Azure AI services (OpenAI, AI Search, Document Intelligence, Content Safety) to support AI-driven application development.</li><li>Infrastructure as Code: Standardize all deployments using Terraform to ensure consistency and modularity.</li><li>API &amp; Connectivity: Manage API lifecycles using Azure APIM and Kong, ensuring secure and performant communication between services.</li><li>FinOps &amp; Monitoring: Proactively manage cloud costs by analyzing SKUs and implementing advanced monitoring/alerting to prevent budget overruns.</li><li>Automation: Design automated GitHub Workflows to enable seamless CI/CD for both infrastructure and application code.</li></ul>Technical Requirements:<ul><li>Cloud: 5+ years experience with Azure Cloud Platform.</li><li>IaC: Expert-level Terraform skills.</li><li>AI Stack: Familiarity with Azure AI Foundry and OpenAI Service.</li><li>Networking: Expert knowledge of Network Architecture (VNETs, Peering, Firewalls, Private Links).</li><li>APIs: Hands-on experience with Azure APIM or Kong.</li></ul>Deployment Architecture: Proven ability to create professional Cloud Architecture Diagrams and provide Solutions Architecture guidance.Pay: AED18,000.00 - AED24,000.00 per monthApplication Question(s):<ul><li>How many years of hands-on experience do you have with Microsoft Azure?</li><li>Have you built an Azure environment from scratch (Greenfield / Landing Zone approach)?</li><li>Please provide an example of a complex Terraform module you&rsquo;ve built.</li><li>Do you have hands-on experience with Azure AI services (OpenAI, AI Search, Document Intelligence, etc.)?</li><li>How do you monitor and optimize Azure cloud costs?</li><li>Which tools or approaches have you used for monitoring and alerting (Azure Monitor, Log Analytics, etc.)?</li></ul>Work Location: In person

Sr. AI Cloud Platform Engineer – Azure (Banking Industry)

Role Overview: We are looking for a Senior Platform Engineer to design, build, and scale Azure cloud and hybrid-cloud ecosystems from the ground up for a large Financial Enterprise. You will be responsible for creating a robust foundation for our application teams, with a specific focus on operationalizing AI services, maintaining rigorous security standards, and optimizing cloud spend through FinOps best practices.Key Responsibilities:<ul><li>Greenfield Infrastructure: Architect and deploy production-ready Azure environments from scratch using a landing zone approach.</li><li>AI Orchestration: Integrate and manage Azure AI services (OpenAI, AI Search, Document Intelligence, Content Safety) to support AI-driven application development.</li><li>Infrastructure as Code: Standardize all deployments using Terraform to ensure consistency and modularity.</li><li>API &amp; Connectivity: Manage API lifecycles using Azure APIM and Kong, ensuring secure and performant communication between services.</li><li>FinOps &amp; Monitoring: Proactively manage cloud costs by analyzing SKUs and implementing advanced monitoring/alerting to prevent budget overruns.</li><li>Automation: Design automated GitHub Workflows to enable seamless CI/CD for both infrastructure and application code.</li></ul>Technical Requirements:<ul><li>Cloud: 8+ years experience with Azure Cloud Platform.</li><li>IaC: Expert-level Terraform skills.</li><li>AI Stack: Familiarity with Azure AI Foundry and OpenAI Service.</li><li>Networking: Expert knowledge of Network Architecture (VNETs, Peering, Firewalls, Private Links).</li><li>APIs: Hands-on experience with Azure APIM or Kong.</li></ul>Deployment Architecture: Proven ability to create professional Cloud Architecture Diagrams and provide Solutions Architecture guidance.Pay: AED26,000.00 - AED31,000.00 per monthApplication Question(s):<ul><li>Which tools or approaches have you used for monitoring and alerting (Azure Monitor, Log Analytics, etc.)?</li><li>Have you worked in environments with strict cost governance or quotas?</li><li>Have you created cloud architecture diagrams and presented solutions to stakeholders?</li><li>Describe a complex cloud architecture you designed (include security, scalability, and reliability considerations).</li></ul>Work Location: In person

Lead AI Cloud Platform Engineer (Banking Industry)

Role OverviewWe are hiring an experienced AWS Solutions Architect to design, govern, and deliver highly secure, scalable, and compliant cloud architectures for mission-critical financial systems. This role is central to our cloud transformation strategy, ensuring that all AWS solutions adhere to stringent regulatory, security, and operational standards required in the financial services sector.The ideal candidate will possess deep expertise in AWS cloud architecture, strong knowledge of financial domain compliance, and the ability to lead cross-functional teams in delivering resilient and future-ready cloud platforms.Key Responsibilities1. Cloud Architecture &amp; Strategy<ul><li>Design and implement secure, scalable, and highly available AWS architectures aligned with enterprise standards.</li><li>Build and manage multi-account AWS environments using AWS Organizations and Control Tower.</li><li>Develop landing zone architectures including identity, networking, logging, and governance layers.</li><li>Produce detailed solution documents, architecture diagrams, and technical standards.</li></ul>2. Security &amp; Regulatory Compliance<ul><li>Ensure solutions meet strict financial and regulatory requirements such as:</li><li>PCI-DSS, ISO 27001, SOC2</li><li>Data residency and privacy regulations</li><li>Implement end-to-end cloud security controls including:</li><li>IAM roles, policies, and least privilege access</li><li>Encryption (KMS, TLS, at-rest and in-transit)</li><li>Secrets management (AWS Secrets Manager, Parameter Store)</li><li>Perform threat modeling, risk analysis, and security reviews</li><li>Support audits and ensure compliance reporting readiness</li></ul>3. Infrastructure as Code (IaC) &amp; Automation<ul><li>Lead the development of Infrastructure as Code using:</li><li>Terraform, AWS CloudFormation, or AWS CDK</li><li>Ensure all infrastructure is fully automated, version-controlled, and reproducible</li><li>Define and enforce IaC modularization and reusability standards</li><li>Integrate IaC pipelines into CI/CD workflows</li></ul>4. Application Modernization &amp; Cloud-Native Design<ul><li>Architect modern cloud-native solutions using:</li><li>Containers (ECS, EKS)</li><li>Serverless (Lambda, API Gateway)</li><li>Guide migration of legacy systems to microservices architecture</li><li>Enable event-driven architectures using SNS, SQS, EventBridge, Kafka (MSK)</li></ul>5. Data Architecture &amp; Integration<ul><li>Design scalable and secure data architectures using:</li><li>Amazon S3, RDS, Aurora, DynamoDB, Redshift</li><li>Implement data governance, encryption, and lifecycle policies</li><li>Enable secure integrations using:</li><li>APIs (API Gateway, PrivateLink)</li><li>Messaging and streaming services</li></ul>6. Networking &amp; Hybrid Cloud<ul><li>Architect secure AWS networking solutions including:</li><li>VPC design (multi-AZ, subnet segmentation)</li><li>Route tables, NAT gateways, Internet gateways</li><li>Implement hybrid connectivity using:</li><li>AWS Direct Connect or Site-to-Site VPN</li><li>Establish network security controls, firewalls, and segmentation strategies</li></ul>7. Observability &amp; Reliability Engineering<ul><li>Design and implement monitoring, logging, and alerting frameworks using:</li><li>CloudWatch, CloudTrail, AWS Config</li><li>Define SLIs, SLOs, and SLAs for critical systems</li><li>Architect high availability and fault-tolerant systems across AZs/regions</li><li>Develop and test Disaster Recovery (DR) strategies, ensuring defined RTO/RPO</li></ul>8. Cost Optimization (FinOps)<ul><li>Implement cost governance and optimization strategies</li><li>Analyze cloud usage and optimize:</li><li>Compute, storage, and data transfer costs</li><li>Use tools like:</li><li>AWS Cost Explorer, Budgets, Trusted Advisor</li></ul>9. DevOps &amp; CI/CD Enablement<ul><li>Establish and guide best practices for CI/CD pipelines using:</li><li>AWS CodePipeline, CodeBuild, Jenkins, GitHub Actions</li><li>Enable automated testing, deployment, and rollback strategies</li><li>Promote DevSecOps principles across teams</li></ul>10. Leadership &amp; Stakeholder Management<ul><li>Collaborate with product, engineering, security, and business stakeholders</li><li>Translate complex business requirements into technical cloud solutions</li><li>Provide technical leadership, mentorship, and governance</li><li>Lead architecture review boards and design discussions</li></ul>Required Skills &amp; QualificationsTechnical Expertise<ul><li>8+ years of IT experience, with 4+ years in AWS architecture</li><li>Strong expertise in:</li><li>AWS core services: EC2, S3, RDS, Lambda, VPC, IAM, API Gateway</li><li>Containerization: Docker, Kubernetes (EKS)</li><li>Infrastructure as Code: Terraform / CloudFormation / CDK</li><li>Strong understanding of:</li><li>High availability, scalability, and fault tolerance</li><li>Network architecture and cloud security</li></ul>Financial Services Experience<ul><li>Proven experience in banking, fintech, or regulated industries</li><li>Strong knowledge of:</li><li>Compliance frameworks and audit processes</li><li>Data security, privacy, and regulatory requirements</li></ul>DevOps &amp; Automation<ul><li>Experience building and managing CI/CD pipelines</li><li>Proficiency in scripting languages:</li><li>Python, Bash</li><li>Familiarity with automation and DevSecOps practices</li></ul>Soft Skills<ul><li>Strong analytical and problem-solving skills</li><li>Excellent communication and stakeholder management</li><li>Ability to influence and guide technical decision-making</li><li>Experience working in large, complex organizations</li></ul>Preferred Qualifications<ul><li>AWS Certifications:</li><li>AWS Certified Solutions Architect &ndash; Professional (highly preferred)</li><li>AWS Security Specialty or DevOps Engineer</li><li>Experience with:</li><li>Multi-cloud or hybrid cloud strategies</li><li>AI/ML services such as Amazon SageMaker or Bedrock</li><li>Advanced security tooling (WAF, Shield, GuardDuty, Security Hub)</li></ul>What We Offer<ul><li>Opportunity to work on enterprise-scale, mission-critical banking platforms</li><li>Exposure to cutting-edge cloud technologies and architecture patterns</li><li>A collaborative, high-performance engineering environment</li><li>Competitive compensation and benefits</li></ul>Pay: AED26,000.00 - AED31,000.00 per monthWork Location: In person

AWS Solutions Architect – Financial Services