What are the responsibilities and job description for the Senior AI Solutions Architect - OAI position at Jobs via Dice?
Unison Systems is seeking a Senior AI Solutions Architect to join our client's team in Denver, CO.
This is an onsite contract role (5 days/week, 8 AM-5 PM MST) through year-end. The position reports to Director/VP level and offers competitive compensation for the Denver market.
Responsibilities:
This is an onsite contract role (5 days/week, 8 AM-5 PM MST) through year-end. The position reports to Director/VP level and offers competitive compensation for the Denver market.
Responsibilities:
- Design end-to-end enterprise AI architectures that connect data, models, APIs, and user experiences across CRM, contact center, workforce management, field service, and customer operations platforms
- Create shared decisioning and GenAI services including Next Best Offer/Action, agent assistance, retrieval-augmented generation, and rules engines to ensure consistent logic across channels
- Architect AI solutions that augment human decision-making, with clear mechanisms for agents and supervisors to accept, adjust, or override recommendations
- Design personalization, agent assistance, and conversational AI solutions (IVR, voicebots, chatbots, digital messaging) across voice, chat, digital, and field channels
- Define data models, semantic layers, and KPIs to establish a single source of truth for analytics and AI
- Ensure secure, compliant data pipelines with robust monitoring for performance, drift, cost, and responsible AI practices including fairness and explainability
- Align peer architects across business units on common AI patterns and platforms
- Partner with Product, PMO, and delivery teams to translate architecture into epics, user stories, and agile execution
- Communicate complex AI architectures to C-suite and executive stakeholders through clear visuals and narratives
- Mentor engineers, analysts, and architects on enterprise-grade, reusable AI patterns
- 8 years of solution architecture, software engineering, or data engineering experience
- 4 years delivering production AI/ML or advanced analytics solutions
- Strong proficiency in machine learning, NLP, conversational AI, and GenAI; agentic frameworks preferred
- Experience designing enterprise-scale APIs, microservices, and distributed systems at Fortune 100 scale
- Hands-on proficiency with Python, .NET, Java, SQL, Scala, and modern cloud-native patterns (containers, Kubernetes, serverless, event-driven architectures)
- Demonstrated experience across Azure, AWS, and/or Google Cloud Platform including data and AI services
- Expertise with modern data platforms such as Databricks, Snowflake, or Redshift; experience building large-scale batch and streaming pipelines
- Strong data engineering fundamentals including data modeling, performance tuning, and governance
- Exceptional communication skills and proven ability to influence and drive decisions in matrixed enterprise environments
- Strategic mindset with the ability to define AI roadmaps and execute cross-functionally
- Experience in telecom, cable, broadband, or high-volume contact center environments is a plus
- Familiarity with CCaaS platforms (Genesys, Five9, Amazon Connect, NICE, Cisco) is a plus
- Advanced degree in Data Science, AI/ML, or related field is preferred
- Relevant certifications such as AWS Solutions Architect, Azure Solutions Architect, TOGAF, or AI/GenAI certifications are a plus