Workflow Engineer

Overview

Workflow Engineer (Orkes Conductor Specialist)

Orkes Conductor

Workflow Engineer

• , you will own the design and implementation of the
• business process orchestration layer
• within the AWA platform.
• You will translate real-world banking processes into
• durable, distributed workflows
• , ensuring seamless coordination between AI agents, human reviewers, and core banking systems.
• You will be the critical bridge between:
• AI Agent execution (LangGraph / AI Gateway)
• Core banking systems (ICCS, CBS)
• Human-in-the-loop operations
• Enterprise observability and monitoring systems

Orkes Workflow Engineering

• Design and implement complex workflows using

Orkes Conductor

• .
• Build task sequences, parallel execution flows, sub-workflows, and SLA-driven orchestration logic.
• Define workflow structures for all AI banking use cases.

Human-In-The-Loop (Hitl) Orchestration

• Configure Human Task routing for operational review queues.
• Implement HITL approval workflows (Approve / Edit / Reject).
• Ensure seamless resumption of AI workflows after human decisions using LangGraph state restoration.

Distributed Systems & Resilience Design

• Design compensating transaction workflows for downstream failures (e.g., core banking or ICCS failures).
• Implement idempotency patterns using
• awa_job_id deduplication
• .
• Configure retry strategies including exponential backoff, jitter, circuit breakers, and DLQ handling.

AI + Workflow Integration

• Integrate Orkes workflows with
• LangGraph agent execution models
• .
• Manage orchestration of AI tasks as distributed worker processes.
• Ensure robust error handling between AI and orchestration layers.

Observability & Monitoring

• Export workflow metrics into

Azure Monitor And Log Analytics

• .
• Build KQL queries to track:
• Workflow duration
• Task failure rates
• Retry patterns
• HITL queue depth
• SLA adherence across use cases

Workflow Governance & Delivery

• Own end-to-end workflow design for new banking AI use cases.
• Define SLAs and operational expectations with business stakeholders.
• Design workflow test strategies and validation frameworks.
• Ensure consistency of workflow standards across the platform.

Data Integrity & Traceability

• Ensure
• awa_job_id propagation
• across all workflow steps.
• Validate end-to-end traceability across AI, HITL, and core banking systems.
• Implement strict schema validation for workflow inputs/outputs.
• What We’re Looking For - Essential Skills & Experience
• 5+ years’ experience in workflow orchestration or distributed systems engineering
• Hands-on experience with:
• Orkes Conductor, Apache Conductor, Temporal or Apache Airflow
• Strong understanding of distributed systems concepts:
• Idempotency
• Eventual consistency
• Saga patterns
• At-least-once delivery semantics
• Experience designing long-running, durable workflows with human approval steps
• Strong REST API knowledge (especially async and webhook-based patterns)
• Experience with JSON/YAML-based workflow definitions
• Python or Java for workflow worker implementation

Advantageous Experience

• Direct experience with
• Orkes Conductor (Orkes Cloud / SDK / Human Tasks)
• Familiarity with
• LangGraph or LangChain
• and agentic AI systems
• Kafka or event-driven architecture (consumer groups, event triggers)
• Azure Monitor / Log Analytics / KQL
• Banking domain knowledge (highly beneficial):
• Straight-through processing (STP)
• Clearing and settlement workflows
• Exception handling and reconciliation processes
• Why Join?
• This is a rare opportunity to define the orchestration layer of a
• large-scale enterprise AI banking platform
• .