Overview
Remote
USD 194,160.00 per year
Full Time
Skills
Roadmaps
IT Strategy
Solution Architecture
System Integration
Collaboration
IT Management
Performance Tuning
Regulatory Compliance
Documentation
IT Architecture
Emerging Technologies
Vendor Relationships
Management
Provisioning
Change Management
Technical Writing
Mentorship
Knowledge Transfer
Customer Experience
KPI
Return On Investment
Information Technology
Enterprise Architecture
Software Design
Genesys
Cloud Computing
Natural Language Processing
Generative Artificial Intelligence (AI)
Orchestration
Enterprise Integration
Middleware
IaaS
Computer Networking
Terraform
Vendor Management
Technology Assessment
Communication
Presentations
Articulate
Computer Science
Information Systems
Customer Relationship Management (CRM)
IT Service Management
Salesforce.com
ServiceNow
Analytics
Snow Flake Schema
Databricks
MicroStrategy
Artificial Intelligence
Pricing
Amazon Web Services
Cloud Architecture
Agile
IT Program Management
Leadership
Training
Health Insurance
Insurance
Job Details
Description & Requirements
As an Sr. IT Principal Architect, AI Solutions, you'll serve as the strategic technical lead and right-hand to the Customer Experience/Conversational AI Product Owner, driving the architectural vision for scalable, repeatable customer experience solutions. You'll lead product and capability design, ensure alignment with organizational priorities, communicate technical roadmaps to stakeholders, and architect enterprise-grade solutions that transform customer experiences.
Essential Duties and Responsibilities:
- Design, prototype, and deliver AI-powered automation solutions across our platforms.
- Lead technical strategy on key projects, including solution architecture, system integration, and platform configuration.
- Collaborate with Customer Success, Engineering, and cross-functional teams to translate complex business requirements into scalable, maintainable designs.
- Advise enterprise clients and stakeholders on best-fit architectures that align with their strategic objectives.
- Provide deep technical leadership in areas such as APIs, data pipelines, performance optimization, and orchestration of bot behaviors.
- Conduct architecture reviews to guide implementation choices and enforce quality, security, and compliance standards.
- Create comprehensive playbooks, develop support documentation, and implement automation for handling support requests on an enterprise AI platform.
- Mentor junior and mid-level solution architects and no-code developers.
- Stay current with emerging technologies and champion innovations that improve solution modularity, robustness, and performance.
Develop and execute the technical architecture strategy for CCaaS and conversational AI solutions, incorporating emerging technologies like Generative AI to enhance customer interactions and drive measurable business outcomes across the enterprise.
Provide vendor relationship management for key technology partners (Genesys Cloud, Amazon Connect, others) and evaluate new platform capabilities to ensure optimal technology stack selection and cost efficiency.
Design and oversee implementation of automated deployment and packaging solutions to ensure repeatable provisioning of CCaaS and Conversational AI architectures, creating standardized frameworks that accelerate time-to-market for new customer solutions.
Partner with the CDIO, CTO and executive leadership to align customer experience and conversational AI initiatives with enterprise digital transformation priorities
Architect complex integrations between CCaaS, Conversational AI and enterprise systems (Salesforce, ServiceNow, etc)
Establish and maintain solution governance processes including architectural standards, change management procedures, and technical documentation requirements
Mentor and upskill other team members, fostering technical excellence and knowledge transfer while building organizational capability in conversational AI and customer experience technologies.
Define and track architectural KPIs, leveraging analytics platforms and AI insights to optimize solution performance, identify improvement opportunities, and demonstrate ROI to stakeholders through data-driven presentations
Minimum Qualifications
Bachelor's degree in Computer Science, Information Technology, or related field
8-10 years of experience in enterprise architecture or solution design roles, with at least 3 years focused on contact center technologies and conversational AI
Deep expertise in CCaaS platforms (Amazon Connect, Genesys Cloud) and their architectural components
Strong knowledge of conversational AI technologies including NLP platforms (Amazon Lex), Generative AI applications, and AI orchestration frameworks
Extensive experience with enterprise integration patterns, APIs, and middleware technologies
Proficiency in cloud infrastructure (AWS preferred), networking concepts, and security best practices
Experience with Infrastructure-as-Code tools (Terraform, CloudFormation) and automated deployment methodologies
Proven track record in vendor management and technology evaluation
Excellent communication and presentation skills with ability to articulate technical concepts to executive audiences
Preferred Qualifications
Master's degree in Computer Science, Information Systems, or related field
Experience with CRM/ITSM platforms (Salesforce, ServiceNow) and their architectural patterns
Knowledge of analytics platforms (Snowflake, Databricks, QuickSight, MicroStrategy) and their integration with CCaaS and conversational AI solutions
Understanding of pricing models and rate card development for technology solutions
AWS Solutions Architect or similar cloud architecture certifications
Experience with Agile methodologies and technical program management
Background in developing technical talent and leadership roles
#techjobs
EEO Statement
Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Pay Transparency
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.
Minimum Salary
$ 194,160.00
Maximum Salary
$ 292,240.00
As an Sr. IT Principal Architect, AI Solutions, you'll serve as the strategic technical lead and right-hand to the Customer Experience/Conversational AI Product Owner, driving the architectural vision for scalable, repeatable customer experience solutions. You'll lead product and capability design, ensure alignment with organizational priorities, communicate technical roadmaps to stakeholders, and architect enterprise-grade solutions that transform customer experiences.
Essential Duties and Responsibilities:
- Design, prototype, and deliver AI-powered automation solutions across our platforms.
- Lead technical strategy on key projects, including solution architecture, system integration, and platform configuration.
- Collaborate with Customer Success, Engineering, and cross-functional teams to translate complex business requirements into scalable, maintainable designs.
- Advise enterprise clients and stakeholders on best-fit architectures that align with their strategic objectives.
- Provide deep technical leadership in areas such as APIs, data pipelines, performance optimization, and orchestration of bot behaviors.
- Conduct architecture reviews to guide implementation choices and enforce quality, security, and compliance standards.
- Create comprehensive playbooks, develop support documentation, and implement automation for handling support requests on an enterprise AI platform.
- Mentor junior and mid-level solution architects and no-code developers.
- Stay current with emerging technologies and champion innovations that improve solution modularity, robustness, and performance.
Develop and execute the technical architecture strategy for CCaaS and conversational AI solutions, incorporating emerging technologies like Generative AI to enhance customer interactions and drive measurable business outcomes across the enterprise.
Provide vendor relationship management for key technology partners (Genesys Cloud, Amazon Connect, others) and evaluate new platform capabilities to ensure optimal technology stack selection and cost efficiency.
Design and oversee implementation of automated deployment and packaging solutions to ensure repeatable provisioning of CCaaS and Conversational AI architectures, creating standardized frameworks that accelerate time-to-market for new customer solutions.
Partner with the CDIO, CTO and executive leadership to align customer experience and conversational AI initiatives with enterprise digital transformation priorities
Architect complex integrations between CCaaS, Conversational AI and enterprise systems (Salesforce, ServiceNow, etc)
Establish and maintain solution governance processes including architectural standards, change management procedures, and technical documentation requirements
Mentor and upskill other team members, fostering technical excellence and knowledge transfer while building organizational capability in conversational AI and customer experience technologies.
Define and track architectural KPIs, leveraging analytics platforms and AI insights to optimize solution performance, identify improvement opportunities, and demonstrate ROI to stakeholders through data-driven presentations
Minimum Qualifications
Bachelor's degree in Computer Science, Information Technology, or related field
8-10 years of experience in enterprise architecture or solution design roles, with at least 3 years focused on contact center technologies and conversational AI
Deep expertise in CCaaS platforms (Amazon Connect, Genesys Cloud) and their architectural components
Strong knowledge of conversational AI technologies including NLP platforms (Amazon Lex), Generative AI applications, and AI orchestration frameworks
Extensive experience with enterprise integration patterns, APIs, and middleware technologies
Proficiency in cloud infrastructure (AWS preferred), networking concepts, and security best practices
Experience with Infrastructure-as-Code tools (Terraform, CloudFormation) and automated deployment methodologies
Proven track record in vendor management and technology evaluation
Excellent communication and presentation skills with ability to articulate technical concepts to executive audiences
Preferred Qualifications
Master's degree in Computer Science, Information Systems, or related field
Experience with CRM/ITSM platforms (Salesforce, ServiceNow) and their architectural patterns
Knowledge of analytics platforms (Snowflake, Databricks, QuickSight, MicroStrategy) and their integration with CCaaS and conversational AI solutions
Understanding of pricing models and rate card development for technology solutions
AWS Solutions Architect or similar cloud architecture certifications
Experience with Agile methodologies and technical program management
Background in developing technical talent and leadership roles
#techjobs
EEO Statement
Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Pay Transparency
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.
Minimum Salary
$ 194,160.00
Maximum Salary
$ 292,240.00
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.