Senior AI Automation Engineer – Finance & Treasury Solutions

About the role

Coforge is seeking a Senior AI Automation Engineer to lead the design and implementation of AI‑driven automation and enterprise application solutions for finance and treasury environments. The role is fully remote and focuses on building intelligent workflows that enhance operational efficiency and decision‑making.

Key responsibilities

• Lead design and implementation of AI, automation, and enterprise application solutions across finance and treasury technology stacks.
• Drive end‑to‑end automation initiatives and AI‑enabled workflows to improve operational efficiency and decision‑making.
• Architect scalable enterprise applications and integration frameworks for finance platforms.
• Design and implement intelligent automation using Generative AI, Machine Learning, LLMs, copilots, and intelligent agents.
• Build automation for data ingestion, validation, transformation, reconciliation, and financial posting processes.
• Develop enterprise integrations using APIs, middleware, and event‑driven architectures.
• Design financial data models, pipelines, and governance frameworks to support reporting and analytics.
• Implement AI governance, model auditability, prompt engineering, and risk‑control practices.
• Collaborate with finance, treasury, and accounting stakeholders to identify automation opportunities.
• Define target‑state architectures and recommend improvements across finance and enterprise platforms.

Required profile

• 5‑7 years of experience as an AI Engineer, Automation Engineer, Machine Learning Engineer, or a related role.
• Strong experience with Python development and automation frameworks.
• Experience working with financial data or within financial services environments.
• Hands‑on experience designing and implementing Generative AI and Machine Learning solutions.
• Experience developing AI‑powered automation tools and intelligent workflow solutions.
• Experience designing AI‑enabled business processes using LLMs, copilots, or intelligent agents.
• Strong understanding of prompt engineering, AI orchestration, governance, auditability, and risk controls.
• Experience designing API‑based integrations, middleware solutions, and event‑driven architectures.
• Knowledge of data pipelines, ETL/ELT processes, data quality controls, and data governance frameworks.

Required skills

• Python
• Generative AI
• Machine Learning
• Large Language Models (LLMs)
• Copilot technologies
• Intelligent agents
• Prompt engineering
• AI orchestration and governance
• API development and integration
• Middleware and event‑driven architectures
• Data pipelines and ETL/ELT processes
• Data quality and governance frameworks
• Azure OpenAI (preferred)
• Copilot Studio (preferred)
• Power Automate or similar workflow orchestration platforms
• UiPath or Automation Anywhere (RPA platforms)
• Observability, monitoring, alerting, and telemetry solutions
• Financial close automation, reconciliation processes, and treasury systems
• Enterprise finance platforms such as D365 Finance & Operations, OneStream, GTreasury, IVP EAS, or WSO