Platform Engineer III
HCLTech
Bengaluru, Karnataka, IndiaPosted about 1 month agoDiscoveredMatch locked
Full-time
Job Summary
Lead the deployment and solutioning of Generative AI and agentic systems in customer environments by owning end-to-end implementation across integration, testing, and stabilization phases. Collaborate with architects, product, and platform teams to design and deliver scalable, reliable, and production-grade AI solutions, ensuring adherence to standards, governance, and performance expectations.
Key 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
Skill 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
Other Requirements
- 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
Not included in the source posting: about the role, benefits.
Skills
artificial-intelligenceazuregenerative-airagawsgcplangchainllmpython
Who can apply
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