Proven AI-Native Experience: Deep, hands-on experience building software using advanced LLMs and AI coding assistants (e.g., Claude Code, GitHub Copilot, Cursor) and establishing LLM-based knowledge repositories (e.g., LLM Wiki).
Advanced Methodological Expertise: Extensive practical experience with the BMAD method and a strong grasp of comparable AI-assisted reasoning and development frameworks, including:
Agentic Frameworks: Structuring workflows using ReAct (Reasoning and Acting), Plan-and-Solve, or DSPy to ensure deterministic and reliable code generation.
Prompt Engineering Strategies: Mastery of Chain-of-Thought (CoT) and Tree-of-Thoughts (ToT) to guide LLMs through complex enterprise logic.
Architecture & Retrieval: Experience designing and implementing robust Retrieval-Augmented Generation (RAG) pipelines for internal tooling.
Enterprise Pragmatism: The ability to look past the hype of new tools and judge what is actually required to build secure, working enterprise software.
Mentorship & Process Design: A track record of setting up developer environments, standardizing workflows, and collaborating closely with cross-functional leadership to ensure long-term project sustainability.
Strategic Vision: Strong architectural instincts with the ability to build quickly for today while establishing a stable technological foundation for tomorrow's scale.
Act as the decision-maker on our initial AI development stack. Evaluate, select, and integrate cutting-edge tools (such as Claude Code and LLM Wiki) while applying the BMAD method, ensuring they meet enterprise requirements for security, scalability, and performance.
Proven AI-Native Experience: Deep, hands-on experience building software using advanced LLMs and AI coding assistants (e.g., Claude Code, GitHub Copilot, Cursor) and establishing LLM-based knowledge repositories (e.g., LLM Wiki).
Advanced Methodological Expertise: Extensive practical experience with the BMAD method and a strong grasp of comparable AI-assisted reasoning and development frameworks, including:
Agentic Frameworks: Structuring workflows using ReAct (Reasoning and Acting), Plan-and-Solve, or DSPy to ensure deterministic and reliable code generation.
Prompt Engineering Strategies: Mastery of Chain-of-Thought (CoT) and Tree-of-Thoughts (ToT) to guide LLMs through complex enterprise logic.
Architecture & Retrieval: Experience designing and implementing robust Retrieval-Augmented Generation (RAG) pipelines for internal tooling.
Enterprise Pragmatism: The ability to look past the hype of new tools and judge what is actually required to build secure, working enterprise software.
Mentorship & Process Design: A track record of setting up developer environments, standardizing workflows, and collaborating closely with cross-functional leadership to ensure long-term project sustainability.
Strategic Vision: Strong architectural instincts with the ability to build quickly for today while establishing a stable technological foundation for tomorrow's scale.
Act as the decision-maker on our initial AI development stack. Evaluate, select, and integrate cutting-edge tools (such as Claude Code and LLM Wiki) while applying the BMAD method, ensuring they meet enterprise requirements for security, scalability, and performance.
HCLTech is a global technology company, home to more than 226,600 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 September 2025 totaled $14.2 billion. To learn how we can supercharge progress for you, visit hcltech.com.
