What are the responsibilities and job description for the AI Solutions Architect position at BeaconFire Inc.?
Primary Skills (Core Requirements):
AI/ML & GenAI Expertise
- Machine learning, NLP, deep learning, agentic AI frameworks
- Designing GenAI solutions (RAG, copilots, conversational AI)
Solution Architecture (End-to-End)
- Designing scalable architectures across data, APIs, and UI
- Microservices, event-driven, and cloud-native systems
Cloud & Data Platforms
- Azure, AWS, GCP
- Databricks, Snowflake, Kafka, modern data pipelines
Programming & Engineering
- Python, .NET, Java, SQL
- APIs, distributed systems, containers (Docker/Kubernetes)
AI Strategy & Enterprise Leadership
- Defining AI roadmaps and architecture standards
- Driving cross-functional alignment and decision-making
Secondary Skills (Supporting / Nice-to-Have):
Contact Center & Telecom Domain
- CCaaS platforms (Genesys, NICE, Amazon Connect, etc.)
- Voice, chat, IVR analytics and operations
Advanced AI Use Cases
- Next Best Action (NBA), Next Best Offer (NBO)
- Personalization, agent assistance, automation
Data Governance & Responsible AI
- Data modeling, KPIs, compliance (PII/PCI)
- Model monitoring, fairness, explainability
Agile & Delivery Collaboration
- Working with PMO/Product teams
- Translating architecture into epics and user stories
Executive Communication
- Simplifying complex AI concepts for leadership
- Stakeholder influence and storytelling