Job Title: Senior AI Automation Engineer
Key Skills: AI Engineering, Python, Generative AI, Machine Learning, Financial Data, Intelligent Automation
Experience: 5-7 YOE.
Location: Costa Rica, Peru, Colombia, and Bolivia.
Mode: Remote.
We at Coforge are hiring Senior AI Automation Engineer (#22378) with the following skill set.
Key Responsibilities
· Lead the design and implementation of AI, automation, and enterprise application solutions across finance and treasury technology environments.
· Drive end-to-end automation initiatives and AI-enabled workflows to improve operational efficiency and decision-making.
· Architect scalable enterprise applications and integration frameworks across finance platforms.
· Design and implement intelligent automation solutions 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, data pipelines, and governance frameworks supporting reporting and analytics.
· Implement AI governance, model auditability, prompt engineering, and risk control practices.
· Collaborate with Finance, Treasury, Accounting, and business stakeholders to identify automation opportunities and optimize business processes.
· Define target-state architectures and recommend improvements across finance and enterprise platforms.
Required Skills & Qualifications
· 5-7 years of experience as an AI Engineer, Automation Engineer, Machine Learning Engineer, or 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, intelligent agents, or similar technologies.
· 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.
· Strong analytical, communication, and problem-solving skills.
Preferred Skills
· Experience with Azure OpenAI, Copilot Studio, or similar GenAI platforms.
· Experience with workflow orchestration platforms such as Power Automate, Control-M, or similar tools.
· Experience with RPA platforms such as UiPath or Automation Anywhere.
· Familiarity with observability, monitoring, alerting, and telemetry solutions.
· Experience with financial close automation, reconciliation processes, and treasury systems.
· Exposure to enterprise finance platforms such as D365 Finance & Operations, OneStream, GTreasury, IVP EAS, or WSO.
· Knowledge of Data Quality, Master Data Management (MDM), and data governance best practices.
· Experience within private credit, asset management, or financial services organizations.
Posted On: 14-08-2026
At Coforge, we hire professionals based solely on their skills and qualifications and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Skills Required
- 5-7 years of experience as an AI Engineer, Automation Engineer, Machine Learning Engineer, or 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
- Strong analytical, communication, and problem-solving skills
Encora Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Encora and has not been reviewed or approved by Encora.
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Healthcare Strength — Health coverage is described as employer-provided in multiple locations, with private plans and family coverage highlighted in Spain and Mexico. Medical insurance quality is presented as a recurring bright spot alongside standard coverage.
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Leave & Time Off Breadth — Time off includes paid holidays and PTO, with regional materials indicating additional leave provisions in certain countries. Leave is generally portrayed as conventional to generous depending on location.
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Flexible Benefits — Work-from-home flexibility is frequently highlighted as a plus, though it varies by role and client needs. Remote and hybrid options are positioned as part of the overall package.
Encora Insights
What We Do
Headquartered in Santa Clara, California, and backed by renowned private equity firms Advent International and Warburg Pincus, Encora is the preferred technology modernization and innovation partner to some of the world’s leading enterprise companies. It provides award-winning digital engineering services including Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. Encora's deep cluster vertical capabilities extend across diverse industries, including HiTech, Healthcare & Life Sciences, Retail & CPG, Energy & Utilities, Banking Financial Services & Insurance, Travel, Hospitality & Logistics, Telecom & Media, Automotive, and other specialized industries. With over 9,000 associates in 47+ offices and delivery centers across the U.S., Canada, Latin America, Europe, India, and Southeast Asia, Encora delivers nearshore agility to clients anywhere in the world, coupled with expertise at scale in India. Encora’s Cloud-first, Data-first, AI-first approach enables clients to create differentiated enterprise value through technology









