
51 - 200 employees
Founded 2010
🤖 Artificial Intelligence
🏥 Healthcare
💸 Finance
Artificial Intelligence • Healthcare • Finance
Vecten is an AI-native data and technology partner that builds proprietary data infrastructure and AI systems for private capital (venture capital and private equity) and healthcare & life sciences. It offers a full-stack delivery model — strategy workshops (Vecten Compass), an AI-native data platform deployed in client clouds (Vecten Core), an edge intelligence layer with ML models, LLM workflows and AI agents (Vecten Edge), and continuous operations with forward-deployed engineers and domain-specific AI agents (Vecten Drive). Vecten emphasizes compliant, production-ready systems (including HIPAA-aligned solutions for healthcare), measurable business outcomes, and long-term engineering partnerships; its clients collectively manage $1. 2T+ in assets and the company highlights ~15 years of engineering depth.
🔥 1 hour ago
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51 - 200 employees
Founded 2010
🤖 Artificial Intelligence
🏥 Healthcare
💸 Finance
Artificial Intelligence • Healthcare • Finance
Vecten is an AI-native data and technology partner that builds proprietary data infrastructure and AI systems for private capital (venture capital and private equity) and healthcare & life sciences. It offers a full-stack delivery model — strategy workshops (Vecten Compass), an AI-native data platform deployed in client clouds (Vecten Core), an edge intelligence layer with ML models, LLM workflows and AI agents (Vecten Edge), and continuous operations with forward-deployed engineers and domain-specific AI agents (Vecten Drive). Vecten emphasizes compliant, production-ready systems (including HIPAA-aligned solutions for healthcare), measurable business outcomes, and long-term engineering partnerships; its clients collectively manage $1. 2T+ in assets and the company highlights ~15 years of engineering depth.
• Design, build, and operationalize AI agents that work directly in the hands of investment professionals, operations teams, and support functions. • Create custom AI agents in Copilot Studio and Microsoft Agent 365 - from discovery and design through to production deployment. • Build Power Automate flows and Power Apps experiences that extend agent capabilities into operational workflows. • Develop custom connectors and API integrations connecting Copilot-based agents to internal corporate systems and third-party services. • Choose appropriate worker orchestration methods: deterministic agent flows, generative orchestration with intercept points, multistage approvals, or external workflow engines. • Design agents for durability and observability frameworks - ensuring robust logs, validation, monitoring, and compliance controls.
• Hands-on experience with Microsoft Copilot Studio and the broader M365 Copilot ecosystem - including building and deploying agents to production environments • Strong understanding of agent architecture fundamentals: tool calling, orchestration, state management across turns and sessions • Experience integrating AI agents with enterprise systems via REST APIs, custom connectors, or service endpoints - not just consuming pre-built connectors • Versatility across the low-code/pro-code spectrum: Proficiency in Copilot Studio for rapid prototyping, with C# as the primary baseline for custom extensibility; experience with Python or other script languages is a strong plus for specialized integrations. • Working knowledge of Power Platform: Power Automate (cloud flows and desktop flows), Power Apps for agent-adjacent interfaces, custom connector development • Understanding of enterprise identity and access management as applied to agents: Entra ID, RBAC, conditional access policies, service principal management • Familiarity with data access controls and DLP policies relevant to AI agent deployments - understanding what data an agent can see, when, and under what conditions • Experience implementing or working within approval and escalation flows - knowing when an agent should act autonomously and when it must surface a decision to a human • Awareness of compliance requirements in regulated industries (financial services experience is a plus) • Ability to design and implement agent testing strategies - functional testing, adversarial testing, regression testing for agent behavior • Experience with logging and monitoring agent execution: tracing tool calls, inspecting conversation state, surfacing failure modes • Comfort working with Copilot Studio's analytics and evaluation capabilities within Agent 365's unified governance plane • Experience with Microsoft Certified: AI Agent Builder Associate (Exam AB-620) or equivalent hands-on project depth • Familiarity with Model Context Protocol (MCP) and multi-agent orchestration patterns • Exposure to Azure AI Foundry or Azure OpenAI Service - particularly for custom model grounding and retrieval-augmented generation (RAG) in agent contexts • Background in financial services or other regulated industries where data governance and audit trails are non-negotiable • Prior experience deploying Microsoft 365 Copilot at enterprise scale - licensing, adoption, change management • Hands-on experience with hybrid orchestration patterns - workflows that call agents and agents that call workflows as tools - using Power Automate, Logic Apps, or Microsoft Foundry workflows • Familiarity with Copilot Cowork and where cloud-sandboxed agent execution fits alongside Copilot Studio • Exposure to data systems common in private equity - deal rooms, portfolio management platforms, document repositories, IC workflow tooling
• Unrestricted AI Stack & Premium Gear: Fully paid licenses for Cursor, Claude Pro, etc. • Work with a talented team redefining the global perception of Poland • Flexible working hours and remote work options • Comfortable office in central Warsaw with all essential tools • Multisport card & private medical care • A culture of feedback – evaluation meetings, mentoring, and career growth opportunities • Frontier Engineering Culture: Build alongside elite engineers who are shipping systems that drive real investment decisions. Backed by continuous growth and a strong knowledge-sharing culture (check our YouTube).
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