Specialist Technical Support Engineer (AI Solutions)
NiCE (company site, opens in a new tab)8–12 yrsPuneOn-siteDirect career pageEst. 28–50 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Provide senior-level L2/L3 technical support and troubleshooting for AI-powered solutions including agentic AI applications, cloud infrastructure, APIs, data platforms, and automation frameworks.
- Own and resolve complex P1/P2 incidents focusing on AI agent workflows, LLM integrations, cloud environments like AWS, Snowflake data platform, and associated orchestration failures.
- Develop code-level fixes, implement regression tests, monitor system health with observability tools, and collaborate with engineering and business stakeholders to ensure reliability, security, and optimal performance of AI solutions.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.
- 8-12 years of experience in Software Engineering, Platform Engineering, SRE, DevOps, Data Engineering, or Advanced Technical Support.
- Strong hands-on skills in Python, SQL, REST APIs, distributed systems, and experience supporting cloud production environments (preferably AWS).
- Experience with Snowflake platform, API troubleshooting, microservices, CI/CD pipelines, observability tools, IAM/security practices, and Agentic AI frameworks and LLM platforms as specified.
Ideal Candidate Profile
- Experienced senior-level engineer skilled in end-to-end incident management for complex AI/cloud/data production environments with strong root cause analysis and code debugging capabilities.
- Deep domain expertise in AI agent architectures, LLM integrations, cloud services (AWS), Snowflake, orchestration tools, and secure autonomous AI workflows.
- Ability to work cross-functionally with architects, developers, and business teams to improve operational maturity and enable high availability and governance in AI-driven solutions.