So, What's the Role All About?

We are looking for a Specialist Software Architect to lead the architectural vision, design, and evolution of our AI-driven and Conversational Solutions platform. This role demands deep hands-on expertise in Python, AWS Cloud services, AWS Knowledge Hub, and multiple Knowledge Base technologies, along with proven experience designing simplified, scalable, and resilient architectures using microservices and AWS-native services.

You will play a critical role in shaping the technical foundation of our Conversational AI platform — one that handles millions of interactions per day, meets strict SLAs (99.99%), and supports zero-downtime deployments, robust disaster recovery, and enterprise-grade AI orchestration. You will be the go-to architect for proposing pragmatic, simplified designs that balance innovation with operational excellence.

How Will You Make an Impact?

Architecture & System Design:

• Own and define the end-to-end architecture of the Conversational AI and Knowledge platform, covering AI model integration layers, data stores, knowledge bases, and external integrations.
• Design enterprise-scale, cloud-native, microservices-based architectures capable of handling high concurrency, burst traffic, and real-time conversational workloads.
• Propose simplified, cost-effective architectural designs leveraging AWS-native services — avoiding over-engineering while ensuring scalability and resilience.
• Define reference architectures, architectural blueprints, and non-functional requirements (NFRs) for performance, reliability, security, and maintainability.
• Drive event-driven and asynchronous architectures using AWS-native services such as SQS, SNS, EventBridge, and Step Functions.
• Define best practices for microservices design, domain-driven design (DDD), API design (REST, async/event APIs), and AI integration patterns.
• Review and guide complex application-level designs, critical code paths, and AI pipeline architectures.

AI & Conversational Solution Architecture:

• Architect and evolve AI-driven Conversational solutions integrating large language models (LLMs), prompt engineering patterns, and enterprise AI orchestration frameworks.
• Design and implement Knowledge Base solutions using AWS Knowledge Hub, vector databases, RAG (Retrieval-Augmented Generation) architectures, and other knowledge management technologies.
• Define AI model integration strategies — including model selection, fine-tuning approaches, embedding pipelines, and response quality frameworks.
• Drive conversational UX architecture, ensuring seamless, context-aware, and low-latency interaction flows.
• Evaluate and recommend AI tooling, platforms, and frameworks aligned with business needs (e.g., AWS Bedrock, LangChain, OpenAI, Anthropic, Kore.ai, Dialogflow).
• Lead the design of multi-turn conversation management, intent resolution, and fallback handling architectures.

AWS Cloud & Microservices Architecture:

• Architect and optimise solutions using AWS services including but not limited to Lambda, API Gateway, SQS, SNS, Step Functions, DynamoDB, Aurora Serverless, S3, Bedrock, and Kendra.
• Design cost-efficient, elastic scaling strategies aligned with unpredictable conversational AI workloads.
• Lead cloud governance, environment isolation, multi-account strategy, and infrastructure-as-code (IaC) practices.
• Define CI/CD pipeline standards, DevOps practices, and containerisation approaches (Docker, Kubernetes) for AI workload deployments.
• Drive microservices decomposition strategies — identifying service boundaries, inter-service communication patterns, and data ownership models.

Scalability, Resilience & Disaster Recovery:

• Design for extreme scale — high concurrent users, high TPS, and real-time AI inferencing demands.
• Own resilience strategies including multi-AZ and multi-region architectures, active-active or active-passive DR setups, and graceful degradation mechanisms.
• Define and validate RPO/RTO goals, conduct chaos testing, and lead DR drills.
• Ensure zero-downtime deployment capabilities through blue/green, canary, and rolling deployment strategies.

Security, Compliance & Reliability:

• Embed security by design across all AI and data architecture layers — covering authentication, authorisation, data privacy, encryption, and model safety guardrails.
• Support compliance requirements (SOC2, ISO, GDPR) from an architectural standpoint, particularly around AI data handling and knowledge base access controls.
• Partner with SRE and DevOps teams on observability, logging, distributed tracing, and alerting for AI workloads.
• Define SLIs, SLOs, and capacity planning models for conversational AI services.

Technical Leadership & Collaboration:

• Act as a technical mentor and trusted advisor to senior engineers, tech leads, and implementation teams.
• Lead architecture reviews, design councils, and technical decision forums — championing simplicity, pragmatism, and long-term maintainability.
• Partner closely with Product Management, AI/ML teams, and delivery teams to balance innovation with execution feasibility.
• Drive the long-term AI architecture roadmap and proactively reduce technical debt.

Have You Got What It Takes?

Experience & Education:

• Bachelor's degree in Computer Science, Information Systems, Electrical Engineering, or equivalent work experience.
• 10+ years of professional software engineering experience, with at least 4–5 years in a software architect or principal engineer role.
• Demonstrated experience designing and delivering AI-driven or Conversational AI platforms at enterprise scale.

Technical Expertise:

• Deep hands-on experience with Python — including AI/ML libraries, API development, and automation scripting.
• Strong expertise in AWS Cloud services — particularly those relevant to AI workloads: Bedrock, Kendra, Lambda, API Gateway, SQS, SNS, Step Functions, DynamoDB, S3, and Aurora Serverless.
• Hands-on experience with AWS Knowledge Hub and multiple Knowledge Base technologies including vector databases, document stores, and semantic search platforms.
• Proven experience designing microservices architectures — including service decomposition, inter-service communication (REST, gRPC, event-driven), and distributed data management.
• Strong understanding of:
• RAG (Retrieval-Augmented Generation) architectures and embedding pipelines
• Prompt engineering and LLM integration patterns
• Modern authentication standards (OAuth2, OIDC, SAML)
• Web APIs — REST and async/event API design
• Databases (SQL/NoSQL) and data integration patterns
• Experience with CI/CD pipelines, DevOps practices, and containerisation (Docker, Kubernetes).
• Familiarity with AI tooling and platforms such as AWS Bedrock, LangChain, OpenAI, Anthropic, Dialogflow, or Kore.ai.
• Experience with GenAI and Agentic AI application development.

Architecture & Scale:

• Demonstrated success designing systems for high traffic, low latency, and high availability at global scale.
• Deep experience with resilience, disaster recovery, and failover design in cloud-native environments.
• Strong track record of proposing simplified, pragmatic architectural solutions that avoid unnecessary complexity.
• Experience with event-driven systems, message queues, and streaming architectures.
• Strong understanding of cloud networking, caching strategies, and data modelling for AI workloads.

Good to Have:

• Experience with CCaaS or real-time communication platforms (e.g., NICE CXone).
• Exposure to multi-region SaaS deployments and hybrid serverless/container architectures.
• Familiarity with OpenSearch or Elasticsearch for conversational data search and analytics.
• Experience with cost optimisation strategies at scale on AWS.
• Knowledge of frontend technologies (JavaScript/TypeScript, React) for full-stack architecture awareness.

What's in It for You?

Join an ever-growing, market-disrupting, global company where the teams — comprised of the best of the best — work in a fast-paced, collaborative, and creative environment. As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX! At NICE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility — 2 days working from the office and 3 days of remote work each week. Office days focus on face-to-face collaboration where teamwork and creative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. 

Requisition ID: 10787

Reporting Into: Director , Engineering

Role Type: Individual Contributor 

Overview of Role

66degrees’ Managed Cloud Optimization (MCO) team works with some of the largest cloud users in the world to help them transform their businesses with technology. Our Site Reliability Engineers (SREs) combine Google Cloud Platform expertise with a passion for devops methodologies to help our clients maintain, optimize, and scale their cloud implementations. 

On a daily basis, our SREs work with varied and exciting customers on topics ranging from solving critical outages to designing and deploying new cloud workloads to building self-healing automation. Our SREs work with cutting-edge Google Cloud technologies like Google Kubernetes Engine (GKE), Anthos, BigQuery and data pipelines, as well as leading 3rd party tools like Prometheus, Datadog, and many others. Our SREs also work with languages like Python and Terraform to create automation, deploy infrastructure, and contribute to open-sourcing.

If you’re looking to continually build and apply your Google Cloud expertise to new and varied environments while acting as a key contributor to building the best Google consulting partner in the industry – let’s talk.

Responsibilities

Our ideal candidate will understand the value of teamwork. We are looking for the right fit with our rapidly growing organization and will invest in training.

We are based in Chicago, Illinois and Denver, Colorado. Remote candidates should not hesitate applying. A 66degrees’ Site Reliability Engineer’s responsibilities and duties are as follows: 

• Ensure near-zero downtime with monitoring and alerting, self-healing automation, and continuous improvement
• Create highly automated, available and scalable systems by applying software and infrastructure principles
• Employ and advise clients on DevOps and SRE principles and practices, covering deployment pipelines, HA, service reliability, technical debt, and operational toil for live services running at scale
• Provide a proactive approach to our clients’ workloads, anticipating failures, automating tasks, ensuring availability, and providing a great customer experience
• Work closely with clients, your team, and Google engineers to investigate and resolve infrastructure issues
• Contribute to ad-hoc initiatives such as writing documentation, open-sourcing, and improving operation, making a huge impact at a rapid-growth Google Premier Partner

Qualifications

• Minimum 3+ years of cloud and infrastructure experience, including demonstrated expertise with Linux, Windows, k8s, databases, and networking services
• 2+ years of Google Cloud experience and related certifications strongly preferred but not required
• Proficiency with Python required. Other programming language experience is a plus
• Strong provisioning and configuration skills using Terraform
• Experience with 24x7x365 monitoring, incident response, and on-call support.
• Experience in troubleshooting that spans systems, network, and code
• Experience determining & negotiating Error budgets, SLIs, SLOs, and SLAs with product owners
• Demonstrate the ability to work independently and as a member of a greater team, including cross-team activities
• Experience working in Agile Scrum, Kanban methodologies in SDLC
• Proven experience balancing service reliability, metrics, sustainability, technical debt, and operational toil for live services running at scale
• Strong communication skills, as this is a heavily customer-facing role
• Bachelor’s degree in computer science, electrical engineering, or equivalent required

What's the Role All About? 

The Specialist Software Engineer is a customer-facing, billable role responsible for implementing, configuring, and delivering AI-driven and Conversational AI solutions across the NICE CXone ecosystem.  As a hands-on technical contributor, you will build integrations, configure conversational AI platforms, and ensure high-quality execution of project deliverables.  

How Will You Make an Impact? 

• Technical Implementation and Configuration:  
• Configure, customize, and deploy Conversational AI solutions aligned to defined business and technical requirements.
• Build and maintain integrations using APIs, modern web technologies, and authentication standards.
• Implement, enhance, and optimize bot behaviors using conversational design and prompt engineering best practices.
• Develop proofs of concept (PoCs) and production-ready solution components.
• Support testing, validation, and go-live activities to ensure solutions are functioning as expected across customer environments. 

• Technical Problem Solving & Quality:  
• Diagnose and resolve complex technical issues across SaaS applications, integrations, environments, and data flows.
• Adapt, extend, or refactor existing integrations and solution components to meet evolving customer needs.
• Ensure implementations meet quality, performance, security, and usability standards.
• Produce documentation including specifications, test cases, and deployment materials. 
• Collaboration with Implementation Teams:  
• Partner closely with Implementation Engineers, Consultants and Project Managers who lead discovery, requirements definition, and solution design.
• Participate in customer workshops to clarify technical details, validate feasibility, and provide subject‑matter input.
• Maintain clear and consistent communication across cross‑functional delivery teams.

Have You Got What It Takes? 

• Bachelor’s degree in technical or business field (e.g., Computer Science, Information Systems, Electrical Engineering) or equivalent work experience.
• 8+ years of professional experience, with 1+ years in digital channels or AI/Bot software applications preferred.
• Technical Skills:
• Strong proficiency in JavaScript; Python familiarity is a plus.
• Solid understanding of:
• REST API integration patterns
• Modern authentication (OAuth2, OIDC, SAML)
• Browser and web security (CORS, X Frame Options)
• HTML/CSS and front-end fundamentals
• Ability to interpret API documentation, implement PoCs, and troubleshoot integrations.
• Strong understanding of conversational UX, AI driven interfaces, and prompt engineering techniques.
• Communication and Collaboration:
• Clear, confident written and verbal communication skills.
• Comfortable engaging with customers to explain technical concepts and implementation decisions.
• Effective collaborator during design discussions, code reviews, technical troubleshooting, and delivery execution.
• Authored detailed design documents, functional requirements documents, test use cases, and deployment guides to support implementation and delivery.
• Willingness to work in US shift (5 PM – 2 AM IST).

You Will Have an Advantage If You Also Have: 

• Experience designing and deploying enterprise-grade conversational flows and AI orchestration. 
• Experience with NiCE CXone products or other cloud-based contact center platforms. 
• Experience working with enterprise conversational AI platforms (e.g., NICE CXone, Kore.ai, Amelia, Dialogflow, or similar).

• Experience with monitoring, logging, and debugging tools for distributed systems.
• Knowledge of databases (SQL/NoSQL) and data integration patterns.

• Experience working in Agile/Scrum teams and participating in sprint planning and retrospectives.

What’s in it for you? 

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! 

Enjoy NiCE-FLEX!  

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. 

About NICE

NICE Ltd. (NASDAQ: NICE) is an innovation leader in AI, cloud, and digital solutions, serving over 25,000 global businesses, including 85 of the Fortune 100 corporations. With over 8,500 employees across 30+ countries, NICE software handles more than 120 million customer interactions and monitors over 3 billion financial transactions daily. NICE is committed to diversity and inclusion, ensuring equal opportunities for all candidates.

Requisition ID: 9966
Reporting into: Tech Manager
Role Type: Individual Contributor

So, what’s the role all about?

The Professional Services Engineer is a customer-facing, billable role responsible for delivering specialized expertise and solutions for NiCE products and services. This includes implementing, configuring, and optimizing products like Nice Engage , WFM , EEM and other CXone digital solutions, for enterprise contact centers. The position combines technical and business responsibilities, requiring engagement with clients to understand their needs, provide consultative support, and deliver cutting-edge solutions.

How will you make an impact?

• Technical Implementation:
• Installation and integration of NICE software solutions on site or remotely, while following defined methodology, processes, system requirements, and customer specific needs.
• Work directly with the implementation team to assist with any technical questions regarding the solution from kick-off of the project until handover of the delivered solution to our support center.
• Ensure that all components of the technical architecture are properly integrated and implemented.
• Communicate and reconcile any design flaws found during the delivery of NiCE Solutions.
• Assist customers and their vendors with configuration requirements for all NiCE Integration points in their environment.
• Provide technical expertise of the entire NiCE product suite, implementation methodology, and/or related technology.
• Conduct systems testing for performance and reliability.
• Report issues found during implementation and engage support teams for assistance, as well as escalating to higher tiers and management; as appropriate.
• Provide basic application overview, technical support, and technical quality control throughout all stages of the project.
• Communicate with R&D/product support about customer technical feedback on implementation of product related enhancements and fixes
• Project Management & Customer Handling:
• Collaborate with Project Managers to design and oversee end-to-end project rollouts.
• Document and add Lesson learned and Resolutions to the Nice Knowledge Base
• Ensure seamless project execution through inter-departmental coordination and clear communication.
• Regular interaction with client teams to understand pain points, present solutions, and align on progress
• Flexibility towards after-hours and weekend activities.
• Promote the use of AI tools to enhance decision-making and operational efficiency across business units.

Have you got what it takes?

• Bachelor’s degree in technical (e.g., Computer Science, Information Systems, Electrical Engineering) or business field (e.g., Marketing, MIS) or equivalent work experience.
• Total 8+ years and Minimum 3 years’ experience with Product implementation & integration.
• Experience with NiCE WFM ,Engage, CXone, RTA is a plus
• Experience with Advanced Solutions – Recording/Telephony Integrations, MDC , LDAP, SSO, ACD, DB migrations, Disaster Recovery or HA solutions.
• Familiarity with-
• Generative AI models, NLU techniques, and automation principles.
• Industry trends and emerging technologies in AI and digital customer engagement.
• Desired personal traits:
• Analytical and inquisitive mindset.
• Team-oriented with strong interpersonal skills.
• Early adopter of innovative technologies.
• Strong sense of accountability and ownership. 
• Professional communication, behavior and demeanor.
• Readiness to work in shift - APAC & EMEA
•  Server Technology-
• RED HAT Linux installation and Configuration
• Microsoft Windows Server Installation and Configuration – IIS
• Microsoft Security – Active Directory, Security Policies, Hardening, Encryption
• Server Hardware – HP, Dell, IBM
• Virtual Servers - VMWare – ESX, VSX Clusters, VMotion
• Citrix Servers – Configuration and Optimization
• Application Servers - J2EE, JBoss, Tomcat, Apache, Liferay, Mule
• SQL/Oracle-
• Microsoft SQL Server Installation and Configuration
• Oracle Installation / Configuration
• Maintenance – Backups and Recovery, Security
• Scripting – Basic Query and Update knowledge
• Networking-
• Network Principles – 7 Layer OSI Model, TCP, UDP
• Network Devices – NICs, Switches, Routers, MPLS
• Troubleshooting – Sniffers and various other Network Testing and Analysis tools
• Telephony-
• Telephony Experience - PBX, Switch and ACD Vendors - Avaya, Cisco, Genesys, Nortel, Aspect, Alcatel etc
• VoIP Experience – Avaya, Cisco, Nortel

You will have an advantage if you also have

• Red Hat Enterprise Linux or Microsoft certification.
• Previous experience with ACD/MIS platforms and interfaces.
• Experience working in a call center technology team.
• NICE Engage Certification preferred.
• CCNA and MCSE certifications preferred.
• AWS, Azure, HP, Dell, VMWare, and Citrix certifications are a plus

 What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr.

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID:  10245
Reporting into: Tech Manager
Role Type: Individual Contributor