4 часа назад
Lead Architect (AI Solutions Architecture - EDDA)
169 400 - 279 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Architect (AI Solutions Architecture - EDDA) (AI/ML and Agentic AI): Architecting scalable, production-grade AI systems across the enterprise with an accent on autonomous agents, LLM platforms, RAG pipelines, and responsible AI governance. Focus on designing multi-agent orchestration, prototyping distributed AI architectures, and aligning emerging AI capabilities with business and regulatory requirements.
Location: Hartford, Connecticut, United States
Annual base salary: $169,400–$279,600, plus eligibility for performance-based cash incentive awards.
Company
is a property and casualty insurance company focused on customer, community, and technology innovation.
What you will do
- Architect scalable, production-grade AI, machine learning, generative AI, and agentic AI systems across the enterprise.
- Design autonomous agents, multi-agent orchestration, tool and function calling, memory systems, RAG pipelines, and LLM selection and routing.
- Lead proofs of concept, hands-on prototypes, and technology transformation initiatives while reducing technical debt.
- Advise division and domain architects and align AI platform capabilities with business and technology strategies.
- Establish AI solutions architecture practices, governance, risk, and control processes for safe and sustainable deployments.
- Communicate architectural direction, mentor architecture and engineering leaders, and build organizational consensus.
Requirements
- Bachelor’s degree in computer science, a related STEM or technology field, or equivalent experience.
- At least 7 additional years of architecture or software engineering experience, with 8–10 years of architecture experience preferred in the broader profile.
- At least 2 years of technical leadership experience and advanced architecture and engineering experience.
- Experience designing scalable AI systems, distributed and parallel processing architectures, AI/ML development and deployment, MLOps, AI Ops, and CI/CD.
- Hands-on knowledge of generative AI, transformer architectures, LLMs, multimodal systems, reinforcement learning, autonomous planning, RAG, vector databases, and agentic patterns.
- Experience with LangChain, Strands, Crew AI, MCP, Agent2Agent, AWS Bedrock and AgentCore; knowledge of AI ethics, bias mitigation, governance, model risk, EU AI Act, and GDPR.
Nice to have
- Insurance technology and strong insurance industry experience.
- Experience with Azure Foundry, Agent 365, or GCP/Gemini AI.
- Hands-on experience with Claude Enterprise/CLI/Code, OpenAI Codex, and GitHub Copilot.
Culture & Benefits
- Collaborative environment focused on transformational technology projects and knowledge sharing.
- Health insurance for eligible employees and family members from the first day of employment.
- Dollar-for-dollar 401(k) matching on the first 5% of eligible pay, a pension plan, and a student loan savings program.
- At least 20 paid time-off days annually plus nine paid company holidays.
- Wellness resources, mental health support, and volunteer and charitable matching programs.
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