At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.
So, what's the role all about?
As a Specialist Advanced Engineering Technical Support Engineer, you will provide senior-level L2/L3 engineering support for AI-powered solutions in production environments. This role combines deep troubleshooting expertise with software engineering capabilities, supporting agentic AI applications, cloud infrastructure, APIs, data platforms, and automation frameworks.
You will be responsible for diagnosing complex incidents, performing root-cause analysis, implementing code-level fixes, improving platform reliability, and partnering with architects, developers, and business stakeholders to ensure high availability and performance of critical AI solutions.
How will you make an impact?
- Own and resolve complex P1/P2 incidents across agentic AI, cloud, data, and application layers.
- Diagnose and troubleshoot AI agent workflows, LLM integrations, RAG pipelines, APIs, MCP tools, and orchestration failures.
- Analyze Snowflake and AWS environments to identify performance, security, data, and integration issues.
- Perform code-level debugging, implement fixes, and develop regression tests for production issues.
- Monitor system health using observability and LLMOps tools, proactively identifying reliability risks.
- Support automation frameworks, event-driven workflows, and data pipelines to ensure consistent operations.
- Improve operational maturity through runbooks, alerts, knowledge articles, and continuous improvement initiatives.
- Collaborate with engineering, architecture, product, and business teams to drive successful AI solution adoption.
- Ensure governance, security, auditability, and safe execution of autonomous AI workflows.
Have you got what it takes?
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.
- 8-12 years of experience in Software Engineering, Platform Engineering, SRE, DevOps, Data Engineering, or Advanced Technical Support.
- Strong hands-on experience with Python development, SQL, REST APIs, and distributed systems.
- Experience supporting production applications in cloud environments, preferably AWS.
- Strong understanding of Snowflake data platform, query optimization, security controls, and data operations.
- Experience troubleshooting APIs, microservices, event-driven architectures, and workflow orchestration platforms.
- Hands-on experience with CI/CD pipelines, Git, testing frameworks, and automation practices.
- Knowledge of observability tools, logging, monitoring, tracing, and incident management.
- Experience with IAM, OAuth 2.0, RBAC, secrets management, and enterprise security practices.
- Excellent problem-solving, communication, and stakeholder management skills.
- Experience with Agentic AI frameworks such as LangGraph, LangChain, PydanticAI, AutoGen, CrewAI, or Semantic Kernel.
- Hands-on experience with LLM platforms including OpenAI, Azure OpenAI, Anthropic Claude, Amazon Bedrock, Snowflake Cortex, or Google Gemini.
- Experience with MCP (Model Context Protocol) implementations and AI tool integrations.
- Knowledge of RAG architectures, embeddings, vector databases, and AI evaluation frameworks.
- Experience with Snowflake Cortex Agents, Cortex Search, Cortex Analyst, and Snowpark.
- Experience supporting AWS services such as Lambda, ECS/Fargate, Step Functions, EventBridge, SQS/SNS, API Gateway, and CloudWatch.
- Familiarity with Airflow, Temporal, dbt, or other enterprise orchestration platforms.
- Experience with ServiceNow or Jira Service Management.
- Exposure to AI guardrails, governance frameworks, and secure autonomous workflows.
What's in it for you?
Join an innovative, fast-growing team building next-generation AI-powered solutions that directly impact business operations. You will work alongside AI architects, engineers, and business leaders on cutting-edge Agentic AI initiatives while gaining exposure to modern cloud technologies, GenAI platforms, and enterprise-scale data systems.
At NiCE, every day presents opportunities to learn, innovate, and grow. You'll have access to challenging projects, career advancement opportunities, and a collaborative environment that encourages continuous improvement and technical excellence.
Enjoy NiCE-FLEX!
At NiCE, we work according to the NiCE-FLEX hybrid model, enabling maximum flexibility with 2 days working from the office and 3 days of remote work each week. Our office days are designed to foster collaboration, innovation, and meaningful team interactions.
Req ID: 11876
Reporting Into: Technical Manager / AI Engineering Leader
Role Type: Individual Contributor
About NiCE
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.
Skills Required
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field
- 8-12 years of experience in Software Engineering, Platform Engineering, SRE, DevOps, Data Engineering, or Advanced Technical Support
- Hands-on Python development experience
- SQL, REST APIs, and distributed systems experience
- Experience supporting production applications in cloud environments, preferably AWS
- Strong understanding of Snowflake, including query optimization, security controls, and data operations
- Experience troubleshooting APIs, microservices, event-driven architectures, and workflow orchestration platforms
- Hands-on experience with CI/CD pipelines, Git, testing frameworks, and automation practices
- Knowledge of observability, logging, monitoring, tracing, and incident management
- Experience with IAM, OAuth 2.0, RBAC, secrets management, and enterprise security practices
- Excellent problem-solving, communication, and stakeholder management skills
- Experience with agentic AI frameworks such as LangGraph, LangChain, PydanticAI, AutoGen, CrewAI, or Semantic Kernel
- Hands-on experience with LLM platforms including OpenAI, Azure OpenAI, Anthropic Claude, Amazon Bedrock, Snowflake Cortex, or Google Gemini
- Experience with MCP implementations and AI tool integrations
- Knowledge of RAG architectures, embeddings, vector databases, and AI evaluation frameworks
- Experience with Snowflake Cortex Agents, Cortex Search, Cortex Analyst, and Snowpark
- Experience supporting AWS Lambda, ECS/Fargate, Step Functions, EventBridge, SQS/SNS, API Gateway, and CloudWatch
- Familiarity with Airflow, Temporal, dbt, or other enterprise orchestration platforms
- Experience with ServiceNow or Jira Service Management
- Exposure to AI guardrails, governance frameworks, and secure autonomous workflows
NICE Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NICE and has not been reviewed or approved by NICE.
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Healthcare Strength — Benefits are described as broad and comprehensive, spanning medical, dental, vision, life, disability, and mental-health support. Added programs like FSA options and fitness stipends contribute to a well-rounded health and wellness offering.
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Retirement Support — A 401(k) is part of the package, sometimes paired with match details that are described as typical to stronger depending on role and time period. Employee stock participation is also positioned as an additional long-term wealth-building component for eligible roles.
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Flexible Benefits — Flexible work arrangements are emphasized, including hybrid setups and remote options for some roles. Flex scheduling, paid holidays, and paid sick time add to the perceived flexibility of the overall rewards package.
NICE Insights
What We Do
NICE (Nasdaq: NICE) is the worldwide leading provider of both cloud and on-premises enterprise software solutions that empower organizations to make smarter decisions based on advanced analytics of structured and unstructured data. NICE helps organizations of all sizes deliver better customer service, ensure compliance, combat fraud and safeguard citizens. Over 25,000 organizations in more than 150 countries, including over 85 of the Fortune 100 companies, are using NICE solutions. www.nice.com.
