Key Facts

Remote From:

Alabama (USA)

Full time

Expert & Leadership (>10 years)

English

Hard Skills

Other Skills

•
Leadership
•
Mentorship

Roles & Responsibilities

5–10+ years in AI/ML software
3–5+ years in solution/enterprise architecture
Track record designing production RAG/chatbot/document AI systems at enterprise scale
Deep hands-on expertise with LLMs, vector search, agentic workflows, and cloud-native patterns

Requirements:

Define end-to-end AI architectures: ingestion → storage → retrieval → reasoning → action → monitoring
Own reference architectures for Document AI, Chatbots, and Agentic AI; guide make/buy decisions
Specify non-functional requirements: latency, throughput, privacy, compliance, observability, cost
Lead PoCs to production with repeatable templates, and golden paths

Job description

This is a remote position.

Overview :

Lead architecture and technical strategy for AI programs across insurance and adjacent regulated industries. Own reference architectures for RAG, Conversational AI, Document Intelligence, and Agentic AI, ensuring scalability, security, and measurable business value.

Key Responsibilities

- Define end-to-end AI architectures: ingestion → storage → retrieval → reasoning → action → monitoring.
- Own reference architectures for Document AI, Chatbots, and Agentic AI; guide make/buy decisions.
- Specify non-functional requirements: latency, throughput, privacy, compliance, observability, cost.
- Select and justify LLM providers, embedding models, vector DBs, re-rankers, guardrails, and evaluation frameworks.
- Govern prompt/version management, safety policies, prompt injection/PII protection
- Lead PoCs to production with repeatable templates, and golden paths.
- Collaborate with delivery and customer stakeholders; mentor engineers; conduct design/code reviews.
- Establish measurement frameworks (hallucination rate, groundedness, answer quality, containment, CSAT/deflection).
- Ensure enterprise-grade integrations.

Requirements

Required Skills & Experience

- 5–10+ years in AI/ML Software, 3–5+ years in solution/enterprise architecture.
- Track record designing production RAG/chatbot/document AI systems at enterprise scale.
- Deep hands-on expertise with LLMs, vector search, agentic workflows, and cloud-native patterns.
- Strong with Azure/AWS/GCP.
- Excellent stakeholder communication; ability to translate business needs into technical blueprints.

- Experience in insurance (FNOL, claims adjudication, underwriting, billing, policy servicing, agent portals, etc.) will be preferred.
- Multi-cloud cost/latency tradeoff expertise; benchmarking and capacity planning.

Benefits

Diversity Inclusion: At Exavalu, we are committed to building a diverse and inclusive workforce. We welcome applications for employment from all qualified candidates, regardless of race, color, gender, national or ethnic origin, age, disability, religion, sexual orientation, gender identity or any other status protected by applicable law. We nurture a culture that embraces all individuals and promotes diverse perspectives, where you can make an impact and grow your career. Exavalu also promotes flexibility depending on the needs of employees, customers and the business. It might be part-time work, working outside normal 9-5 business hours or working remotely. We also have a welcome back program to help people get back to the mainstream after a long break due to health or family reasons.

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