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About TresVista & Descrial
TresVista is a global platform providing sophisticated solutions to clients combining domain expertise, technology, and human capital. Our unique model allows clients to achieve excellence through embracing best in class AI and human capital with an offshore resource model.
Descrial, the dedicated technology product unit, is at the forefront of innovation leveraging AI and intelligent automation to build workflow-native solutions. Our approach goes beyond traditional product development, integrating design research, data engineering, and applied AI to build solutions that are scalable, evidence-based, and user-centric. For experienced product leaders and technologists. Descrial offers the opportunity to define next-generation tools that transform how investment professionals interact with data and make decisions.
Descrial is focused on building solutions delivering smarter and faster ways to conduct diligence, analysis, and make investment decisions.
Role Overview
As a Solutions Architect, you will bridge customer and product needs with Agentic and Assist technical capabilities: solution design on W-OS, integration patterns with client systems, and alignment with Descrial's Java/Spring core and Python AI services. You work with sales, product, and engineering to deliver repeatable, secure, multi-tenant solutions.
Roles and Responsibilities
Prerequisites
▪ 8+ years in software or infrastructure roles; 5+ years in solution / enterprise / technical architecture
▪ Strong grasp of REST, cloud (AWS), SaaS multi-tenancy, and security fundamentals
▪ Hands-on familiarity with backend stacks (Python and/or Java); ability to read APIs and debug integration issues with engineering
▪ Excellent communication and stakeholder management; experience in client-facing technical discussions
▪ Prior PE / investment / financial services or research workflow domains
▪ Experience scoping LLM/RAG projects and data governance for enterprise
▪ Certifications (AWS Solutions Architect, etc.)
Experience
8+ years in software or infrastructure roles; 5+ years in solution / enterprise / technical architecture
Education
Bachelor's or master's in engineering, computer science, or related (or equivalent experience)
Compensation
The compensation structure will be as per industry standards
Job ID: 150843009
Skills:
quantitative analytics , Matlab, Python, R, Model Risk Management, model validation, Audit Methodology
Skills:
data engineering , Machine Learning, Azure, Python, AWS, Generative AI, LLMs, experimentation, Model Evaluation
Skills:
Docker, Databricks, Machine Learning Algorithms, Azure, Azure Machine Learning, Python, AWS, Generative AI, LLMs, Model Evaluation
Skills:
Bi Tools, Collibra, SAS, Tableau, Sql, automation, Python, LangChain, Process Re-engineering, Teradata, prompt engineering, LangGraph, Optimization, AI agents, LLM-based applications
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