Platform Engineer III

Job Description

Platform Engineer III

Frisco, Texas

Job Summary

The Agentic AI Engineer will be responsible for designing, developing, and deploying AI-driven solutions leveraging large language models (LLMs), diffusion models, and other generative frameworks. The role involves collaborating closely with data scientists, software engineers, and business teams to create intelligent, context-aware applications that enhance automation, creativity, and decision-making across the enterprise.

Key Responsibilities

Design, fine-tune, and deploy large language models (LLMs) and other generative models for specific business use cases.

• Build and optimize prompt engineering and model interaction strategies for improved output accuracy and relevance.
• Develop APIs, pipelines, and integrations to embed generative AI capabilities into products and workflows.
• Collaborate with data engineers to ensure high-quality, domain-relevant datasets for model training and evaluation.
• Implement responsible AI principles, including bias mitigation, explainability, and data governance.
• Monitor model performance and continuously refine models through feedback loops and retraining.
• Stay up to date with emerging trends in AI research, frameworks (e.g., LangChain, Hugging Face, OpenAI API), and open-source tools.
• Contribute to internal knowledge sharing and best practices for scalable AI deployment.
• Should be able to manage a team of AI Agentic Developers
• Has to have requisite skills to architect a Agentic solution or platform and then go on to develop it with the help of team.

Skill Requirements

o Proficiency in Python and frameworks such as PyTorch or TensorFlow.

o Experience in SQL, Machine Learning, Big Dat and other Databases.

o Experience with LLM APIs (OpenAI, Anthropic, Gemini, etc.) and vector databases (Pinecone, FAISS, Weaviate).

o Familiarity with prompt engineering, model fine-tuning, and reinforcement learning from human feedback (RLHF).

o Strong understanding of NLP, deep learning, and data pipeline design.

o Exposure to cloud platforms (AWS, Azure, GCP) and MLOps tools for model deployment.

o Strong problem-solving and analytical thinking.

Other Requirements

1. Optional but valuable, knowledge about changing Tec. and AI lansdcape

Maximum Salary (US): 200000

Minimum Salary (US): 140000

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Information at a Glance

Why HCLTech?

At HCLTech, youll supercharge your potential. Youll find your career. And youll 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 2026 totaled $14.8 billion.

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.