9 дней назад
Senior Architect (AI)
139 400 - 230 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Architect (AI) (AI/ML, Generative AI, Agentic AI): Designing and delivering scalable, production-grade AI solutions for business and technology domains with an accent on LLM integration, RAG pipelines, agent orchestration, and responsible AI governance. Focus on defining target-state architectures, building hands-on prototypes, integrating cloud AI services, and solving complex reliability, interoperability, compliance, and technical-debt challenges.
Location: Hartford, Connecticut, United States
Annual base salary: $139,400–$230,000
Company
is a property and casualty insurance company focused on customer, community, and technology innovation.
What you will do
- Design and implement scalable, production-grade AI solutions for business domains.
- Develop architectures for LLM integration, RAG pipelines, memory systems, tool use, and function calling.
- Apply agentic AI patterns and orchestration frameworks such as LangChain, Strands, and Crew AI, including MCP integrations.
- Define target-state architectures, roadmaps, reusable patterns, reference architectures, and design standards.
- Lead technology proofs of concept, hands-on prototypes, modernization initiatives, and technical-debt reduction.
- Partner with engineering, product, business, and architecture stakeholders while supporting responsible AI governance and risk processes.
Requirements
- Bachelor’s degree in computer science, a related STEM field, or equivalent education and experience.
- At least 6 additional years of architecture or software engineering experience; the preferred profile includes 8 years of architecture experience.
- Hands-on AI/ML development and deployment experience, including machine learning algorithms, neural networks, MLOps, AI Ops, and CI/CD for AI/ML workflows.
- Experience with generative AI, LLMs, transformer architectures, prompt engineering, agentic AI patterns, vector databases, and multi-agent orchestration.
- Experience with AWS Bedrock and AgentCore; familiarity with multi-cloud AI services and SaaS AI capabilities.
- Knowledge of responsible AI, AI ethics, governance, and risk frameworks, including the EU AI Act, NAIC, and NIST AI RMF.
Nice to have
- Experience with Azure Foundry, Agent 365, or GCP/Gemini AI.
- Insurance technology and insurance industry experience.
- Experience with agentic coding tools such as Claude Enterprise, OpenAI Codex, and GitHub Copilot.
Culture & Benefits
- Collaborative environment focused on innovation, knowledge sharing, and continuous learning.
- Health insurance for employees and eligible family members from the first day of employment.
- Dollar-for-dollar 401(k) matching on the first 5% of eligible pay, plus a pension plan.
- At least 20 days of paid time off annually and nine paid company holidays.
- Wellness, mental health, caregiving, volunteer, and charitable giving programs.
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