General information
Job Posting Title
Assoc Engnr - AI Sltns
Date
Thursday, July 10, 2025
City
Remote
Country
United States
Working time
Full-time
Description & Requirements
As an Associate Solutions Engineer, you’ll accelerate the design, development, and deployment of scalable technical solutions and repeatable capabilities for external customers. You’ll collaborate with engineering, business development, and UX teams to translate complex customer requirements into robust solutions—leveraging programming skills, AI tooling (with emphasis on conversational AI), Infrastructure-as-Code, and AWS/cloud services. This entry-level position is perfect for a recent graduate eager to build hands-on expertise in solution design, cloud infrastructure, and customer-facing technical delivery.

Essential Duties and Responsibilities:

• Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations.
• Develop and maintain technical integrations between solutions and Maximus technologies such as CRM, ITSM, and data reporting systems.
• Create comprehensive technical documentation, deployment guides, infrastructure-as-code templates and conduct internal training sessions on implemented solutions.
• Collaborate with internal and external stakeholders to gather requirements, present solution designs, and provide ongoing technical support.
• Research emerging customer experience and conversational AI technologies, evaluate new tools and platforms, upskill on emerging customer experience innovations, and contribute to continued improvement of Maximus solutions offerings.
• Partner with external customers and internal stakeholders to gather requirements, analyze workflows, and architect technical solutions using cloud services—leveraging Infrastructure-as-Code (Terraform) to create repeatable, scalable deployments across various solution types including conversational AI systems.
• Design and build conversational flows using platforms like Amazon Connect Flow Designer, implementing DTMF handling, speech triggers, and error/retry logic while creating reusable flow components that can be version-controlled and deployed across customer environments.
• Develop middleware services and API integrations to connect conversational AI platforms with customer CRM systems (Salesforce, ServiceNow, Dynamics 365)
• Configure and optimize AI/ML services including intent recognition, entity extraction, and LLM orchestration
• Design and maintain conversational AI components including dialogue management, SSML configurations for text-to-speech, and ASR parameter tuning for optimal speech recognition across diverse accents and environments.
• Produce clear technical documentation—architecture diagrams, API specifications, deployment guides, and training materials—while presenting solution designs to customers and conducting knowledge transfer sessions.
• Collaborate with DevOps teams to implement monitoring, logging, and alerting for deployed solutions; participate in troubleshooting and root cause analysis for production issues.
• Research emerging technologies in conversational AI (LLMs, vector databases, RAG implementations), evaluate AI orchestration platforms, and pursue relevant certifications to continuously improve solution offerings.Minimum Qualifications
• Bachelor’s degree in computer science, Information Systems, or related field, or equivalent combination of education and experience.
• 0–3 years of experience in software engineering or technical solution development, with hands-on programming experience.
• Familiarity with conversational AI concepts including natural language processing (NLP), large language models, intent recognition, dialogue management, and conversation design principles.
• Experience with REST APIs, webhooks, and integration patterns for connecting services and systems.
• Foundational AWS/cloud knowledge; exposure to Terraform or CloudFormation for infrastructure automation.
• Experience with vector databases and RAG (Retrieval-Augmented Generation) implementations
• Understanding of solution design principles and customer-facing technical delivery.
• Strong analytical, problem-solving, communication, and customer interaction skills.

Minimum Requirements

• Bachelors Degree or equivalent experience and 0+Years
• Experience with Amazon Connect for building contact center solutions
• Familiarity with AI orchestration platforms (e.g., for managing complex AI workflows and LLM integration)
• Experience with conversational AI platforms such as Amazon Lex, Kore.ai, and others
• Experience with CRM platforms (Salesforce, ServiceNow, Dynamics 365) and their APIs
• Familiarity with authentication protocols (OAuth2, JWT) and API security best practices

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
$ 68,400.00
Maximum Salary
$ 102,600.0

• Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations.
• Develop and maintain technical integrations between solutions and Maximus technologies such as CRM, ITSM, and data reporting systems.
• Create comprehensive technical documentation, deployment guides, infrastructure-as-code templates and conduct internal training sessions on implemented solutions.
• Collaborate with internal and external stakeholders to gather requirements, present solution designs, and provide ongoing technical support.
• Research emerging customer experience and conversational AI technologies, evaluate new tools and platforms, upskill on emerging customer experience innovations, and contribute to continued improvement of Maximus solutions offerings.
• Partner with external customers and internal stakeholders to gather requirements, analyze workflows, and architect technical solutions using cloud services—leveraging Infrastructure-as-Code (Terraform) to create repeatable, scalable deployments across various solution types including conversational AI systems.
• Design and build conversational flows using platforms like Amazon Connect Flow Designer, implementing DTMF handling, speech triggers, and error/retry logic while creating reusable flow components that can be version-controlled and deployed across customer environments.
• Develop middleware services and API integrations to connect conversational AI platforms with customer CRM systems (Salesforce, ServiceNow, Dynamics 365)
• Configure and optimize AI/ML services including intent recognition, entity extraction, and LLM orchestration
• Design and maintain conversational AI components including dialogue management, SSML configurations for text-to-speech, and ASR parameter tuning for optimal speech recognition across diverse accents and environments.
• Produce clear technical documentation—architecture diagrams, API specifications, deployment guides, and training materials—while presenting solution designs to customers and conducting knowledge transfer sessions.
• Collaborate with DevOps teams to implement monitoring, logging, and alerting for deployed solutions; participate in troubleshooting and root cause analysis for production issues.
• Research emerging technologies in conversational AI (LLMs, vector databases, RAG implementations), evaluate AI orchestration platforms, and pursue relevant certifications to continuously improve solution offerings.Minimum Qualifications
• Bachelor’s degree in computer science, Information Systems, or related field, or equivalent combination of education and experience.
• 0–3 years of experience in software engineering or technical solution development, with hands-on programming experience.
• Familiarity with conversational AI concepts including natural language processing (NLP), large language models, intent recognition, dialogue management, and conversation design principles.
• Experience with REST APIs, webhooks, and integration patterns for connecting services and systems.
• Foundational AWS/cloud knowledge; exposure to Terraform or CloudFormation for infrastructure automation.
• Experience with vector databases and RAG (Retrieval-Augmented Generation) implementations
• Understanding of solution design principles and customer-facing technical delivery.
• Strong analytical, problem-solving, communication, and customer interaction skills