AI Developer

Key Responsibilities

Workflow Digital Twin Development

? Analyze and deconstruct operations user workflows (tasks, decisions, exceptions, dependencies)

? Build digital representations of workflows (decision trees, state machines, agent flows)

? Translate business processes into automated, executable logic

? Capture and model edge cases, branching logic, and exception handling

Agentic AI & Automation

? Develop AI agents/copilots that mimic operations user behavior and decision-making

? Implement orchestration using tools such as:

- Copilot Studio / Azure AI Foundry

- LangChain / Semantic Kernel (or similar frameworks)

? Enable human-like task execution (data retrieval, validation, enrichment, updates)

AI/ML & Decisioning

? Build models for:

- Classification and routing

- Anomaly detection

- Recommendation/decision support

? Integrate LLMs for reasoning, summarization, and workflow execution assistance

Data & Systems Integration

? Integrate with enterprise systems (APIs, databases, file systems, M365, CRM)

? Build pipelines for ingesting structured and unstructured operational data

? Ensure data consistency and traceability across workflow steps

Testing & Validation

? Validate Digital Twin accuracy against actual user behavior and outcomes

? Perform side-by-side comparisons (human vs digital twin output)

? Continuously refine logic to improve fidelity and performance

Monitoring & Optimization

? Track workflow execution metrics (accuracy, cycle time, exceptions)

? Improve automation coverage and reduce manual intervention

? Support production deployments and troubleshoot issues

Required Qualifications

? 3?5 years? experience in software development, automation, or AI/ML

? Strong Python skills and experience building APIs and automation workflows

? Experience with:

- Process automation (Power Automate, BPM tools, or custom pipelines)

- REST APIs and system integration

- Data processing (Pandas, SQL)

? Ability to translate business workflows into technical logic

Key Skills

? Strong logical and structured thinking (if/then, branching, dependencies)

? Ability to mimic human decision-making in code

? Debugging complex workflows and edge cases

? Collaboration with non-technical stakeholders

Success Metrics

? % of ops workflows successfully replicated and automated

? Reduction in manual effort and cycle time

? Accuracy of digital twin vs human execution

? Reduction in exceptions and rework

Example Work

? Build an AI agent that replicates trade reconciliation workflows

? Automate document review and data extraction + validation steps

? Mimic email-driven ops processes (triage ? action ? update systems)

? Create decision engines for exception handling and routing