Developer
Technology, Data & Digital · IT Infrastructure & Security · DevOps · Data Science · Software Engineering
In short
HCLTech seeks an AI Builder in Noida, India to develop the AWS DevOps Agent, an AI capability for automating root-cause analysis and DevOps operations in AWS environments. This role involves building and extending agentic workflows using AWS-native AI and operations services, integrating with LLM orchestration, and ensuring reliable, trustworthy automation.
Responsibilities
- Build and implement the AWS DevOps Agent's core RCA capability by ingesting logs, metrics, traces, and deployment events to identify root causes.
- Develop agentic workflows and tool-calling integrations using Amazon Bedrock Agents, LangChain/LangGraph, or equivalent to enable the agent to query AWS services and propose/execute remediation.
- Extend the agent with additional DevOps capabilities such as anomaly detection, deployment risk scoring, and incident summarization.
- Integrate the agent with AWS-native operational tooling like Amazon DevOps Guru, AWS Systems Manager Automation, and CI/CD pipelines.
- Develop and tune prompts, function definitions, and retrieval pipelines for accurate and explainable RCA narratives within latency and cost targets.
- Implement guardrails and human-in-the-loop approval gates for safe remediation actions in production.
- Write unit, integration, and evaluation tests for agent capabilities and track quality metrics like RCA accuracy and mean-time-to-diagnosis.
- Support production readiness by contributing to agent observability, deployment scripts, and rollback procedures.
- Troubleshoot and resolve issues in existing agent capabilities, including reasoning regressions and integration problems.
- Document agent capability build decisions, prompt/tool version history, and configuration details for maintainability and auditability.
- Collaborate with stakeholders on feasibility checks, effort estimates, and technical trade-offs.
- Reuse and extend approved architecture patterns for agentic DevOps automation.
Requirements
- 3-7 years in software/AI engineering with hands-on experience building Generative AI or agentic applications, ideally in a DevOps, SRE, or observability context.
- Practical experience with agent frameworks and tool/function calling (Amazon Bedrock Agents, LangChain/LangGraph, Semantic Kernel, or equivalent) and prompt engineering for reasoning tasks.
- Working knowledge of AWS observability and operations services: CloudWatch (Metrics, Logs Insights, Alarms), X-Ray, CloudTrail, AWS Config, and ideally Amazon DevOps Guru.
- Strong Python skills; comfort working with AWS SDK (boto3) integrations, REST APIs, and orchestration frameworks.
- Experience correlating logs, metrics, and traces to diagnose incidents, with an understanding of common failure modes in distributed/cloud systems.
- Understanding of basic security and safe-automation practices for agentic systems.
- Familiarity with testing and evaluation approaches for GenAI and agent outputs.
- Working knowledge of CI/CD on AWS (CodePipeline/CodeBuild/CodeDeploy or equivalent) and basic infrastructure-as-code concepts.
- Ability to work from architecture and design specifications, ask clarifying questions, and flag feasibility issues early.
- Good written communication for documentation and handoffs.
Desired Qualifications
- Experience building or operating incident-management/RCA tooling (PagerDuty, Datadog, New Relic, Amazon DevOps Guru) prior to or alongside GenAI work.
- Exposure to multi-agent orchestration for complex diagnostic workflows.
- Familiarity with LLMOps/MLOps tooling (MLflow, Amazon SageMaker, Bedrock evaluation tools).
- Experience with GitHub Copilot or similar AI-assisted engineering tools in the SDLC.
- Basic understanding of Responsible AI concepts (bias, hallucination mitigation, explainability) as applied to automated RCA and remediation recommendations.
Benefits
- Supercharge your potential.
- Find your career.
- Find your spark.
- A place that knows that helping its customers stay on top starts by putting its people first.
#AI Builder#AWS DevOps Agent#Generative AI#DevOps#root-cause analysis#RCA#LLM orchestration#AI#AWS
Company
HCLTech
Job Posted
13 hours ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Mid-Senior
Locations
Noida, India
Applicants
Be an early applicant