5 часов назад
Lead Architect, AI Solutions Architecture - PI
169 400 - 279 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Architect, AI Solutions Architecture - PI (AI/ML and Agentic AI): Architecting scalable, production-grade AI systems across the enterprise with an accent on generative AI, autonomous agents, governance, and responsible deployment. Focus on designing multi-agent orchestration, RAG pipelines, AI platform roadmaps, and proof-of-concept architectures while aligning technology strategy with business needs.
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 service, community commitment, innovation, and collaborative technology transformation.
What you will do
- Architect scalable, production-grade AI, generative AI, and agentic AI systems across multiple business and technology domains.
- Define and lead technology proofs of concept, conduct hands-on prototyping, and drive continuous modernization.
- Align AI platform capabilities with business needs, including LLM selection and routing, RAG pipelines, memory systems, tool use, and function calling.
- Establish architecture alignment, reusable patterns, interoperability, and an enterprise AI solutions architecture practice.
- Develop governance, risk, control, model-risk, and responsible AI practices informed by the EU AI Act, GDPR, NAIC, and NIST AI RMF.
- Partner with senior Technology and Business leaders, communicate architectural direction, mentor architects and engineers, 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 and 2 years of technical leadership experience; 8–10 years of architecture experience is also cited.
- Advanced architecture experience with recent hands-on engineering experience and a record of executing complex, large-scale technology strategies.
- Hands-on AI/ML development and deployment experience, including ML algorithms, neural networks, optimization, distributed processing, MLOps, AI Ops, and CI/CD.
- Experience with generative AI, LLMs, transformer architectures, multimodal systems, autonomous AI, reinforcement learning, RAG, vector databases, memory systems, and multi-agent orchestration.
- Experience with AWS Bedrock and AgentCore, agent orchestration frameworks such as LangChain, Strands, or Crew AI, and protocols including MCP and Agent2Agent.
Nice to have
- Insurance technology and strong insurance industry experience.
- Experience with Azure Foundry, Agent 365, or GCP/Gemini AI.
Culture & Benefits
- Collaborative environment focused on innovation, transformational projects, and knowledge sharing.
- Health insurance coverage for eligible employees and family members from the first day of employment.
- Dollar-for-dollar 401(k) matching up to 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 counseling, health coaching, and caregiving support.
- Volunteer and charitable giving programs, including matching gifts and volunteer rewards.
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