10 дней назад
AI Enabled Modernization - Agentic Software Engineer - Vice President (Seattle, WA)
150 000 - 250 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
AI Enabled Modernization - Agentic Software Engineer - Vice President (AI/Agentic Systems): Building and deploying multi-agent systems that plan, execute, transform, and validate application modernization workflows across distributed cloud environments with an accent on LLM-based agents, orchestration, evaluation, and observability. Focus on designing autonomous agent swarms, integrating APIs and CI/CD tooling, building human-in-the-loop feedback systems, and applying agentic patterns to data analysis, infrastructure observability, optimization, and planning.
Location: Seattle, WA, United States; office-based role
Salary: USD 150,000–250,000 per year
Company
is a global investment banking, securities, and investment management firm that develops financial and enterprise technology solutions.
What you will do
- Design and deploy multi-agent systems capable of autonomous planning, reasoning, and execution across distributed cloud environments.
- Build systems that modernize applications by understanding, planning, transforming, and validating complex workflows.
- Develop human-in-the-loop systems, evaluation frameworks, quality metrics, and observability mechanisms for continuous agent improvement.
- Integrate agents with APIs, developer tools, CI/CD pipelines, data platforms, and operational systems.
- Partner with business units to identify high-impact use cases and translate ambiguous needs into technical agentic workflows.
Requirements
- Strong proficiency in Python, Go, Java, JavaScript, or a similar programming language.
- Deep understanding of distributed systems and cloud-native architecture, including AWS, Azure, or private clouds.
- Production experience deploying and operating LLM-based agents, with familiarity with LangGraph, AutoGPT, or custom orchestration layers.
- Experience designing benchmarks, evaluations, and quality metrics for AI systems.
- Experience applying agentic patterns to at least two areas: data analysis, observability, optimization, or multi-step planning.
- Ability to work in a 0-to-1 environment, handle ambiguity, and build novel systems.
Nice to have
- Interest in multi-agent reinforcement learning, swarm intelligence, and other 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-centered business processes.
Culture & Benefits
- Opportunities for professional and personal growth through training and development programs.
- Firmwide employee networks focused on diversity and inclusion.
- Benefits supporting wellness and personal finance.
- Mindfulness programs and reasonable accommodation during the recruiting process.
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