3 дня назад
Lead Architect (AI)
169 400 - 279 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Architect (AI) (AI/ML, Generative AI, Agentic AI): Architecting enterprise AI platforms and production-grade AI-enabled products with an accent on scalable distributed systems, agent orchestration, governance, and responsible AI. Focus on designing LLM and RAG architectures, integrating autonomous and multi-agent systems, and aligning AI platforms with business and regulatory requirements.
Location: Hartford, Connecticut, United States
Salary: $169,400–$279,600 annual base salary
Company
is a large property and casualty insurance company focused on technology, innovation, and collaborative solutions.
What you will do
- Define architectural principles, standards, reference architectures, and governance frameworks for enterprise AI platforms and AI-enabled products.
- Guide decisions on AI platforms, cloud providers, model hosting, vector databases, orchestration frameworks, infrastructure, and build-versus-buy strategies.
- Lead architecture reviews covering system design, scalability, resiliency, interoperability, security, compliance, and cost optimization.
- Architect production-grade AI/ML, Generative AI, Agentic AI, autonomous-agent, multi-agent, RAG, memory, and tool-calling solutions.
- Align AI platform capabilities with business needs, including LLM selection and routing, reusable integration patterns, and responsible AI practices.
- Consult with architecture and business leaders, communicate complex AI concepts, build consensus, and mentor architecture teams.
Requirements
- Bachelor’s degree in computer science, a related STEM field, or equivalent education and experience.
- At least 7 additional years of architecture or software engineering experience, including 2 years of technical leadership experience; the broader profile calls for 8–10 years of architecture experience.
- Hands-on expertise in AI/ML development and deployment, Generative AI, LLMs, transformer architectures, prompt engineering, fine-tuning, reinforcement learning, and multimodal systems.
- Experience with MLOps, AI Ops, CI/CD, distributed processing, RAG, vector databases, API integration, memory systems, and multi-agent orchestration.
- Experience with agent orchestration frameworks and protocols such as MCP and Agent2Agent, plus cloud AI services including AWS Bedrock AgentCore.
- Knowledge of AI ethics, bias mitigation, model risk management, AI governance, EU AI Act, GDPR, and insurance technology or the insurance industry.
Nice to have
- Experience with Azure Foundry, Agent 365, or GCP/Gemini AI.
- Insurance technology experience.
Culture & Benefits
- Health insurance for employees and eligible family members from the first day of employment.
- Dollar-for-dollar 401(k) matching up to the first 5% of eligible pay, plus a company-funded pension plan.
- At least 20 paid time-off days annually and nine paid company holidays.
- Wellness resources, mental health counseling, health coaching, and caregiving support.
- Volunteer and charitable giving programs with matching gifts and volunteer rewards.
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