Platform Engineer III

HCL Technologies Limited; Dallas (TX); On-site; USD 180,000 - 250,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

401(k) retirement plan

Paid time off

Paid holidays

Job summary

HCLTech in Dallas is seeking a senior AI deployment lead to own end-to-end Generative AI implementations in customer environments. You will design architectures, build robust pipelines, and collaborate across teams to deliver scalable, production-grade AI solutions.

You will mentor engineers, guide cross-functional efforts, and drive best practices for safety, governance, and performance in AI deployments.

Qualifications

• 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 the ability to engage with customers and internal stakeholders.

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.
• Collaborate with cross-functional teams to align solution design and execution.
• Lead debugging and troubleshooting efforts across production systems.
• Mentor and guide engineers, contributing to team capability building.
• Participate in customer discussions, providing technical inputs, trade-offs, and solution recommendations.

Skills

Python

APIs & microservices

Distributed systems

Cloud platforms

Generative AI

Debugging

Communication

Tools

LangChain

LangGraph

AutoGen

Vector databases

Data pipelines

Observability tools

Job description

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 team capability building
• Participate in customer discussions, providing technical inputs, trade-offs, and solution recommendations

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
• Effectivecommunication 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 tocost, performance, and reliability optimization for AI systems

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, 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 June 2026totaled $14.8billion.

Compensation and Benefits

A candidate’s pay within the range will depend on their 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.