What are the responsibilities and job description for the AI/ML Support Engineer position at HCLTech?
HCLTech is looking for a highly talented and self- motivated Ai/ML Support Engineer to join it in advancing the technological world through innovation and creativity.
Job Title: Ai/ML Support Engineer
Job ID: 101585
Position Type: Full-time
Location: Nashville, TN
Role/Responsibilities
Role Overview
We are seeking experienced AI Support Engineers to provide operational support for enterprise AI platforms and services. This onsite role focuses on ensuring the stability, performance, and availability of AI/ML workloads and tooling, working closely with the architecture, middleware, and development teams to triage and resolve AI-related issues.
Required Experience
8–10 years in platform or application support, with hands-on experience in AI/ML environments including:
Support and operations for AI/ML platforms (e.g., Google Vertex AI or similar)
Familiarity with LLM-based applications, RAG pipelines, and AI API integrations
Python scripting for diagnostics, log parsing, and issue reproduction
Monitoring and observability for AI workloads (latency, token usage, model drift, error rates)
Kubernetes or cloud-native environments where AI services are hosted
Responsibilities
Provide day-to-day operational support for enterprise AI platforms, services, and integrations
Triage and resolve incidents related to AI APIs, model serving, pipeline failures, and data flow issues
Monitor AI workload health including response quality, latency, availability, and cost anomalies
Coordinate with middleware and platform teams on issues spanning the integration and AI layers
Assist in deployment and configuration support for AI services and agent frameworks
Reproduce and document issues, escalating to engineering teams with detailed root cause analysis
Maintain runbooks, FAQs, and support documentation specific to AI platform operations
Preferred Qualifications
Experience supporting LLM integrations or AI agent frameworks (LangChain, LlamaIndex, or similar)
Familiarity with vector databases (Pinecone, Weaviate, pgvector) used in RAG architectures
Exposure to AI governance, prompt management, or model versioning tools
ITSM experience with tools such as ServiceNow or Jira for incident tracking
Pay and Benefits
Pay Range Minimum: $79,000/Annum
Pay Range Maximum: $121,000/Annum
HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to secure@hcltech.com for investigation.
Compensation and Benefits
A candidate’s pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.
How You’ll Grow
At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.
Salary : $79,000 - $121,000