AI Solutions Architect

NAVA Software solutions is looking for an AI Solutions Architect

Details:

AI Solutions Architect

Location: Denver CO Onsite

Duration: 12 months

Role Summary

Looking for a Sr. AI Solutions Architect to sit at the intersection of advanced AI and the real world of telecom and contact centers supporting Sales Customer Operations Marketing and Field Services.

Youll design the AI brain in partnership with vertical development teams data science and business stakeholders that powers Next Best Offer (NBO) Next Best Action (NBA) agent assistance conversational AI and Generative AI copilots as well as analytics across our channels. Your goal: ensure agents customers and executives always get the same trusted answer no matter where or what they ask from our AI and analytics stack.

We are focused on human centric AI that augments humans not replaces them-supporting agents supervisors and operations teams with the right insight at the right moment.

You are technology agnostic and choose the right tool for the job including aiding in vendor and technology selection but youre comfortable in our core ecosystem: Azure Databricks Snowflake AWS and Python. Youll blend deep AI/ML and cloud expertise with full stack architecture and strategic leadership setting enterprise patterns and direction guiding other architects on vertical teams and turning complex AI into simple compelling stories for senior and C suite leaders. You will be tip of the spear identifying new technologies and making recommendations in partnership with vertical teams and business partners to drive technology decisions.

What Youll Do

Own the AI Blueprint

• Design end to end architectures that connect data models APIs and UIs across CRM contact center and customer operations platforms (WFM field service ticketing).
• Design shared decisioning and GenAI services (NBO/NBA agent assistance RAG rules engines) so all channels reuse the same logic and deliver consistent offers actions and responses.
• Ensure architectures are human centric keeping humans in the loop with clear controls to accept adjust or override AI suggestions.

Deliver High Impact AI Experiences

• Architect NBO/NBA and personalization solutions for sales retention and service across voice chat digital and field channels in partnership with stakeholders and vertical development teams.
• Help design agent assistance experiences (e.g. recommended actions offers and real time coaching) that help agents and supervisors make better decisions.
• Help design conversational AI and agentic solutions for IVR voicebots chatbots and digital messaging as well as knowledge search and summarization leveraging frameworks such as LangChain / LangGraph where applicable.

Optimize Operations at Scale

• Design AI solutions for sales effectiveness customer operations efficiency and customer experience dispatch optimization appointment scheduling and truck roll reduction.
• Drive automation of back office flows (order fallout provisioning exceptions billing investigations service assurance).
• Use contact center data and analytics (interaction data routing handle time outcomes) to continuously tune and improve AI and automation solutions.

Lead Data Governance & Reliability

• Define canonical data models semantic layers and KPIs so analytics and AI all use a single source of truth.
• Ensure secure compliant data pipelines (PII CPNI PCI) and robust monitoring for performance drift and cost.
• Implement responsible AI practices (safety fairness explainability) and enforce reuse of shared models rules and prompts so products do not diverge in answers or behaviors.

Influence Across the Enterprise

• Align peer Solutions Architects on common AI patterns and platforms across Care Sales Network and Operations.
• Partner with PMO Product and vertical development teams to turn architectures into epics and user stories sequence work and drive delivery through agile sprints (planning refinement reviews demos).
• Translate complex AI concepts into simple business focused narratives for senior and executive stakeholders including those without technical backgrounds enabling clear decisions.
• Provide thought leadership and mentoring to engineers analysts and architects; advocate for consistent reusable patterns across teams.

What Youll Bring

Experience

• 8 years in solution architecture software engineering or data engineering with 4 years delivering production AI/ML or advanced analytics.
• Background in telecom cable broadband or other high volume customer service environments is a strong plus.
• Experience with contact center data & analytics (voice chat IVR routing quality/performance metrics) is preferred.
• Familiarity with CCaaS applications and architectures (e.g. Genesys Five9 Amazon Connect NICE Cisco or similar) is a plus.

AI & Engineering Skills

• Strong ML/AI proficiency (machine learning deep learning NLP GenAI); hands on experience with agentic frameworks (e.g. LangChain LangGraph or similar) is preferred.
• Proficiency in major languages ( Java SQL Scala) and modern APIs/microservices for Fortune 100 scale enterprise systems.
• Experience with containers and cloud native patterns (Docker Kubernetes serverless event driven architectures).
• Experience designing conversational AI solutions (IVR voicebots chatbots digital assistants) is a plus.

Cloud Data & Platform

• Technology agnostic mindset with hands on experience across major clouds; ability to choose the right platform or technology for the problem including vendor selection.
• Practical experience with one or more of: Azure AWS GCP especially their data & AI services.
• Familiarity with modern data platforms such as Databricks Snowflake Redshift and building pipelines (batch/streaming) using Kafka/Event Hubs or similar.
• Solid data engineering fundamentals: data modeling performance tuning and governance.

Leadership & Communication

• Proven ability to influence horizontally in a matrixed environment and align multiple vertical architecture teams.
• Exceptional communication skills: you reduce complex architectures into clear concise visuals and narratives for senior executives and non technical stakeholders.
• Strategic mindset with the ability to define AI roadmaps and drive cross functional execution.

Preferred Certifications

• AWS Certified Solutions Architect
• Microsoft Azure Solutions Architect Expert
• TOGAF
• AI/GenAI certifications (e.g. Agentic AI Business Solutions Architect Azure AI Engineer)