10 дней назад
AI Enabled Modernization - Agentic Software Engineer - Vice President
130 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Enabled Modernization - Agentic Software Engineer - Vice President (AI/Agentic Systems): Building and deploying multi-agent systems that modernize applications and infrastructure across a complex financial technology estate with an accent on autonomous planning, reasoning, evaluation, and tool integration. Focus on designing distributed agent swarms, human-in-the-loop feedback systems, AI quality benchmarks, and production LLM-based workflows for data analysis, observability, optimization, and planning.
Location: New York, NY, United States
Salary: USD 130,000–250,000 annually
Company
is a global investment banking, securities, and investment management firm that builds large-scale financial technology and artificial intelligence systems.
What you will do
- Design and deploy multi-agent systems capable of autonomous planning, reasoning, and execution across distributed cloud environments.
- Build human-in-the-loop systems, evaluation frameworks, and observability mechanisms for continuous agent improvement.
- Integrate agents with APIs, developer tools, CI/CD pipelines, data platforms, and operational systems.
- Identify high-impact agent use cases with business units and translate ambiguous needs into technical workflows.
- Apply agentic patterns to data analysis, self-healing infrastructure, root-cause analysis, resource optimization, and multi-step planning.
Requirements
- Strong software engineering skills in Python, Go, Java, JavaScript, or similar languages.
- Deep understanding of distributed systems and cloud-native architecture, including AWS, Azure, or private clouds.
- Direct experience deploying and operating LLM-based agents in production, including LangGraph, AutoGPT, or custom orchestration layers.
- Experience designing AI benchmarks, evaluations, and quality metrics.
- Experience applying agentic patterns to at least two relevant domains, such as data analysis, observability, optimization, or planning.
- Ability to work effectively in a 0-to-1 environment and handle ambiguity.
Nice to have
- Interest in Multi-Agent Reinforcement Learning, swarm intelligence, and emerging agentic technologies.
- Familiarity with Model Context Protocol, A2A, and other agent-to-tool communication standards.
- Strong communication skills for connecting technical agentic logic with human-centric business processes.
Culture & Benefits
- Opportunities for professional and personal development through training and firmwide networks.
- Benefits supporting wellness, personal finance, and mindfulness.
- Commitment to diversity, inclusion, and reasonable accommodation during recruitment.
- Work within a global financial institution with offices around the world.
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