Role: .NET Full Stack Developer
Duration: 12 months
Location: Princeton, NJ- Hybrid
Job Description
Responsibilities
Be an integral part of a scrum team participating in the full software development lifecycle, including requirements, solution design, development, QA, and implementation. Responsible for development, modernization, and enhancements to either existing applications or developing new enterprise microservice applications.Write automated unit test cases to support test-driven development (TDD).Support verification and validation of software by supporting the Quality Assurance team.Perform application and security code scans and support the remediation of scan findings. Contribute to daily stand-up meetings and sprint retrospectivesYou are someone who
Excels at problem-solving/analysis. Has deep depth and breadth of understanding in your area of expertise. Communicates effectively.Effectively manages your time and competing deliverables.Enjoys and excels at being part of a team and fostering teamwork.Demonstrates initiative and drive to pursue and achieve goals.Delivers exceptional customer service.Requirements
Bachelor’s Degree in computer science, information systems, or related discipline, or equivalent combination of education and relevant experience.5+ years of programming experience using Microsoft .NET technologies (Visual Studio, C#, Entity framework) and MS SQL Server.Experience with JavaScript libraries (e.g., jQuery, Angular, AngularJS, Knockout.JS, VueJS, Kendo UI, React Js).Familiarity with working in an Agile Scrum environment.Additional InformationAll your information will be kept confidential according to EEO guidelines.
Read LessRole: AI Solution Architect
Location: Onsite – Tampa, Florida
Duration: Fulltime
Experience: 8–15 years of overall IT experience, with at least 3–5 years focused on AI solution architecture and delivery.
Mandatory Skill Tags: AI Solution Architecture, AI solution design, latest AI models, LLMs, enterprise AI architecture, cloud AI/ML platforms, data & MLOps integration
Secondary Skill Tags: responsible AI, AI governance, vector databases, RAG, semantic search, MLOps tools, cloud-native architecture, microservices, Kubernetes, agile delivery
Job Summary:
The Onsite AI Solution Architect will lead the end-to-end architecture, design, and implementation of AI and AI-native solutions for Advantive. This role will closely collaborate with business stakeholders, product owners, data teams, and engineering to translate business requirements into scalable, secure, and robust AI architectures. The architect will provide thought leadership on latest AI models and LLMs and ensure best practices, governance, and standards are adopted across AI initiatives.
Key Responsibilities:
Lead the architecture, design, and technical roadmap for AI and AI-native solutions aligned to Advantive’s business strategy. Translate business and functional requirements into scalable AI solution architectures, covering data, model, application, and integration layers. Evaluate, select, and integrate latest AI models and LLMs (including cloud and third-party services) into enterprise applications and workflows. Define reference architectures, patterns, standards, and reusable components for AI solution delivery across the organization. Collaborate with data engineers, MLOps engineers, application developers, and product teams to ensure high-quality, production-grade AI deployments. Establish non-functional requirements (performance, security, reliability, observability) and ensure AI solutions meet enterprise architecture and compliance guidelines. Conduct technical reviews, PoCs, and feasibility assessments for new AI use cases and guide teams on best practices and optimization. Provide architectural leadership, mentoring, and guidance to project teams, driving continuous improvement and innovation in AI solution delivery.
Required Skills:
Strong experience in AI Solution Architecture, designing and delivering enterprise-grade AI solutions. Proven expertise in architectural design involving AI solutions, including end-to-end solution blueprints and reference architectures.Hands-on knowledge of designing AI-based solutions using machine learning, deep learning, and LLM-based approaches. In-depth understanding of latest AI models and large language models (LLMs), including their capabilities, limitations, and suitable use cases. Experience with AI/ML platforms and services (e.g., Azure AI, AWS AI/ML, Google Cloud AI, or equivalent). Solid understanding of data architecture concepts, including data pipelines, feature stores, model deployment, and monitoring (MLOps). Strong background in application integration patterns (APIs, microservices, event-driven architecture) for embedding AI into products and workflows. Ability to create high-quality architectural artifacts (HLDs, LLDs, sequence diagrams, data flow diagrams) and communicate them to technical and non-technical stakeholders. Strong stakeholder management, communication, and leadership skills to drive consensus and decision-making.
Good to Have Skills
Experience with AI governance, model risk management, and responsible AI practices (fairness, explainability, security, and privacy). Familiarity with vector databases, semantic search, RAG (Retrieval-Augmented Generation), and knowledge-graph-based solutions. Exposure to MLOps tools and frameworks for CI/CD of ML models and LLM-based applications. Experience in designing multi-tenant, cloud-native architectures using containers and orchestration (Docker, Kubernetes). Knowledge of enterprise integration with ERP/CRM/line-of-business applications. Prior experience in leading AI architecture for product-based or ISV organizations. Experience working in agile delivery environments and collaborating with distributed teams.
Educational Qualification
Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related discipline from a recognized institution.
Additional InformationAll your information will be kept confidential according to EEO guidelines.
Read LessFull-Time Opportunity | Principal Product Manager – Genesys Cloud Media Solutions
Location: Remote (Indianapolis, IN)
Employment Type: Full-Time
Role: Principal Product Manager – Genesys Cloud Media Solutions
Visa: Independent Visa Holders Only
We're looking for an experienced Principal Product Manager with expertise in Genesys Cloud, VoIP, SIP, WebRTC, Cloud Communications, and AI-driven Voice Solutions. The ideal candidate will drive product strategy, roadmap, and go-to-market execution for next-generation cloud media and telephony platforms while partnering with engineering, business, and customer teams.
Experience with CCaaS, UCaaS, Contact Center, IVR, Conversational AI, Voice Bots, API-first platforms, RTP, and Developer Ecosystems is highly preferred.
Additional InformationAll your information will be kept confidential according to EEO guidelines.
Read LessRoel: Software Engineer -Java
Location: Iselin, NJ(Onsite)
Duration: Longterm
As a Senior Software Engineer, you will work alongside and mentor a group of talented engineers as you pursue a broad range of initiatives. By leveraging your technical skills and thirst for innovation, you will produce disruptive technologies that will ensure market leadership in consumer banking. As a future leader, you will work on multiple solutions spanning consumer banking applications.
The Senior Software Engineer will be responsible for:
Designing, modifying, developing, and implementing technology solutions. Building modern, architecturally sound components, tools, and applications to meet mission-driven strategic business goals.
Participating in an environment rapidly transforming to the Agile methodology, adhering to best practices and collaborating effectively with team mates.
Infusing quality of service characteristics, such as scalability, manageability, and maintainability, into distributed service-based frameworks to create or expand business or technical capabilities.
Contributing insight from prior experiences when considering design specifications, especially considering the goals of the consumer-facing product.
Required Qualifications
5+ years of experience in software development, with a proven record of successfully launching commercial products.
3+ years of experience with collecting requirements, creating software designs, and developing efficient implementations.
Demonstrated ability to operate in a team environment, with strong interpersonal and communication skills.
Understanding of multiple programming languages, including at least one front-end framework (Angular/React/Vue), such as Python3, Java, JavaScript, Ruby, Golang, C, C++, etc.
Required: Bachelor's degree in Software Engineering, Computer Science, Engineering, Mathematics, or a related discipline.
Desired Qualifications
Understanding of the banking industry, specifically the functions of custodial and consumer banking.
Experience with AWS/Azure/GCP.
Bash and Linux experience.
Familiarity with full-stack development.
Experience with CI/CD pipelines (CircleCI, Jenkins, or equivalent).
Cloud certifications such as AWS Solutions Architect.
Understanding of data structure concepts such as linked lists, dictionaries, arrays, custom object creation, etc
All your information will be kept confidential according to EEO guidelines.
Read LessJob Title: Application Delivery Lead – AI-Assisted Development
Work Location: Onsite – Tampa, Florida
Duration: Full time
Experience Required: 8 to 14 years of overall experience in software development and delivery, including significant experience leading application-based projects and Agile teams.
Mandatory Skill Tags: Agile delivery, AI-assisted development, Unit testing, Integration testing, Technical leadership
Secondary Skill Tags: Azure/AWS, Microservices, RESTful APIs, CI/CD, SQL/NoSQL databases, DevOps, Application security, Cloud-native development
Job Summary:
The Onsite SME (Delivery Leader) will lead and mentor Agile delivery teams building and enhancing complex applications and services for Advantive. This role owns end-to-end delivery quality, leveraging AI-assisted development practices to accelerate outcomes while maintaining high delivery standards. The incumbent will collaborate closely with product owners, architects, and cross-functional stakeholders to deliver scalable, maintainable, and well-governed solutions.
Key Responsibilities:
Lead onsite delivery of applications, services, and components, ensuring timely and high-quality releases. Provide functional leadership and subject matter expertise across requirement refinement, planning, delivery tracking, and release management activities. Drive adoption and effective use of AI-assisted development tools to improve delivery efficiency, quality, and predictability. Define and enforce delivery standards, governance mechanisms, and best practices for predictable and sustainable delivery. Ensure appropriate validation and quality gates are in place across the delivery lifecycle, optimally leveraging AI to increase speed and reliability without compromising quality. Collaborate with product management, architecture, and operations teams to refine requirements and ensure production readiness. Mentor and upskill team members in Agile delivery, stakeholder management, and AI-driven ways of working.Required Skills
Strong expertise in leading functional and delivery outcomes for enterprise-grade applications and services. Hands-on experience leading Agile delivery teams (Scrum or Kanban) in a product or project environment. Practical experience using AI-assisted tools to support planning, analysis, documentation, and quality activities. Proven experience in establishing and managing effective delivery governance, risk management, and status reporting. Strong skills in issue/risk identification, root-cause analysis, and driving resolution across cross-functional teams. Experience with release planning, dependency management, and coordination across multiple squads or workstreams. Excellent communication, stakeholder management, and team mentoring skills.Good to Have Skills
Experience working with teams delivering solutions on cloud platforms in enterprise environments. Exposure to projects involving integration of multiple systems or services. Familiarity with large-scale program delivery, including coordination across distributed or multi-location teams. Experience working closely with architecture, operations, and support teams to ensure smooth transitions to production. Background in applying governance and controls for quality, compliance, and auditability. Prior experience in a similar SME / Delivery Lead / Technical Lead role in enterprise environments. Salesforce knowledge. Knowledge of any of the Advantive products.Educational Qualification
Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related technical discipline.Additional InformationAll your information will be kept confidential according to EEO guidelines.
Read LessRole: Senior Principal, AI Software Engineer– Agentic & Industry Solutions
Location- TX (Remote)
Role Type: Fulltime
Salary: $205200.00 - $360800.00 per yearly
Job Description
Be the one building AI-powered experiences where they matter most.
Senior Principal, AI Software Engineer– Agentic & Industry Solutions
Qualifications:
• Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or related discipline; Master's degree preferred
• 10+ years of experience in software engineering, solution architecture, enterprise integration, or cloud-native application development
• 5+ years of experience designing and implementing AI, Conversational AI, automation, or workflow orchestration solutions
• Strong hands-on development experience building scalable enterprise applications
• Proven ability to move solutions from concept and prototype through production deployment
• Demonstrated technical leadership skills and ability to mentor engineers and architects
• Strong communication and stakeholder engagement skills with ability to collaborate across Product, Engineering, and Strategic Customer teams
• Experience building Agentic AI platforms, copilots, virtual agents, digital assistants, or intelligent automation solutions
• Experience creating reusable solution accelerators, frameworks, and industry-specific assets
• Understanding of industry processes within Financial Services, Healthcare, Insurance, Retail, Telecommunications, or Public Sector is a plus
• Contributions to technical communities, open-source projects, patents, or innovation initiatives is a plus
• Candidates must have willingness to travel as necessary; a valid passport is required
• Technical proficiency in the following is not necessary, but a plus:
- Genesys Cloud Architecture, AI Studio, Copilot, Architect, Journey Management, Experience Orchestration, APIs and Event Frameworks
- Multi-Agent Systems, AI Skills and Agent Development, LLM Integration, RAG Architectures, Knowledge Systems, AI Workflow Automation
- AI Frameworks such as LangGraph, CrewAI, Semantic Kernel, LangChain, AutoGen, OpenAI APIs, Anthropic APIs, AWS Bedrock
- Python, JavaScript/TypeScript, REST APIs, Event-Driven Architectures, Microservices, Cloud platforms (AWS, Azure, Google Cloud)
- Expertise with RAG architectures, vector databases, knowledge orchestration, and enterprise search solutions
- Experience integrating AI solutions with CRM, ERP, Service Management, and enterprise workflow platforms
Note
Purpose:
The Principal Architect and AI Engineer – Agentic & Industry Solutions is a highly technical, hands-on leader responsible for designing, building, and scaling transformative AI-powered solutions on Genesys Cloud. Working within the Innovation Solutions organization, this role drives the development of reusable Agentic AI capabilities, industry-specific solution accelerators, and intelligent workflow automation that enable organizations to fundamentally transform customer and employee experiences. The Principal Architect and AI Engineer provides technical leadership and expertise across architecture, development, and solution delivery, collaborating with Product, Engineering, Strategic Customers, Industry SMEs, and Technology Partners to convert emerging AI technologies into scalable, market-leading solutions.
Benefits:
- Medical, Dental, and Vision Insurance.
- Telehealth coverage
- Flexible work schedules and work from home opportunities
- Development and career growth opportunities
- Open Time Off in addition to 10 paid holidays
- 401(k) matching program
- Adoption Assistance
- Fertility treatments
Additional InformationAll your information will be kept confidential according to EEO guidelines.
Read Less 