Specialist Technical Support Engineer (AI Solutions)

nice; India; Hybrid; INR 1,500,000 - 2,100,000; Full time

Benefits offered by this job

NiCE-FLEX hybrid model

Job summary

NiCE is seeking a Specialist Advanced Engineering Technical Support Engineer to provide senior-level L2/L3 support for AI-powered solutions in production environments. You will diagnose complex incidents, perform root-cause analysis, and implement code-level fixes to improve platform reliability.

You will collaborate with architects, developers, and business stakeholders, support cloud infrastructures, Snowflake and AWS environments, and contribute to runbooks, tests, and governance for secure

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.
• Experience of 8–12 years in Software/Platform Engineering, SRE or Advanced Technical Support.

Responsibilities

• Own and resolve complex P1/P2 incidents across AI, cloud, data, and app layers.
• Diagnose and troubleshoot AI workflows, LLM integrations, and API issues.
• Analyze Snowflake and AWS environments for performance and security.
• Perform code-level debugging and implement fixes with regression tests.
• Collaborate with engineering, product, and business teams to drive AI adoption.
• Ensure governance, security, and safe execution of autonomous AI workflows.

Skills

Python development

SQL

REST APIs

AWS cloud

Snowflake

LLM platforms

CI/CD

Observability

Education

Bachelor’s or Master’s in CS/Engineering

Tools

Snowflake Cortex

Airflow

Job description

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.

About NiCE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, inclu