Platform Engineer III

Technology, Data & Digital · Software & Web Development · Software Engineering · Artificial Intelligence

In short

Lead end-to-end deployments of Generative AI and agentic systems in customer environments. Design, implement, and optimize AI solutions including RAG pipelines and agent workflows, ensuring quality, safety, and performance.

Responsibilities

Lead end-to-end customer deployments across pilot, stabilization, and production phases.
Design and implement AI solution architectures, including APIs, workflows, integrations, and orchestration layers.
Build and optimize RAG pipelines, agent workflows, and orchestration frameworks for real-world use cases.
Define and execute testing, validation, and evaluation frameworks to ensure solution quality and performance.
Monitor system performance and proactively identify, diagnose, and resolve issues across system layers.
Work across data, APIs, and platform components to ensure scalable and resilient system integration.
Drive best practices for safety, governance, and responsible AI implementation across deployments.
Create reusable solution patterns, accelerators, and documentation to improve delivery efficiency.
Collaborate with cross-functional teams (engineering, platform, support, product) to align solution design and execution.
Lead debugging and troubleshooting efforts across production systems, ensuring timely resolution.
Mentor and guide FDE I, II, and III engineers, contributing to team capability building.

Requirements

Strong expertise in Python and software engineering best practices.
Deep understanding of APIs, microservices, and distributed system integration.
Hands-on experience with cloud platforms (Azure / AWS / GCP) and deployment architectures.
Proven experience working with Generative AI / LLM-based systems in production environments.
Strong problem-solving and system-level debugging skills.
Effective communication skills, including ability to engage with customer and internal stakeholders.
Experience with OpenAI / Azure OpenAI or similar APIs.
Strong knowledge of RAG architectures, prompt engineering, and evaluation frameworks.
Hands-on experience with agent frameworks (LangChain, LangGraph, AutoGen, etc.).
Familiarity with vector databases, data pipelines, and large-scale data handling.
Experience with observability, monitoring, and performance optimization tools.
Exposure to cost, performance, and reliability optimization for AI systems.

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.

Skills

PythonAPIsMicroservicesDistributed SystemsAzureAWSGCPGenerative AILLMDebuggingCommunicationOpenAIAzure OpenAIRAGPrompt EngineeringLangChainLangGraphAutoGenVector DatabasesData PipelinesObservabilityMonitoring

#Platform Engineering#Generative AI#AI#LLM#Python#Cloud#Azure#AWS#GCP#RAG#Prompt Engineering#Agent Frameworks#Vector Databases#Data Pipelines#Observability#Monitoring#Debugging

About HCLTech

Supercharging progress through technology and innovation

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered around digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2022 totaled $12.1 billion. To learn how we can supercharge progress for…

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