Senior Lead AI Engineer (ADL)

About the Role

We are seeking a highly skilled and motivated Senior Lead AI Engineer responsible for designing, developing, and delivering high-quality software solutions with emphasis on AI technologies such as prompt engineering and large language models (LLMs). This role combines hands-on technical development with leadership, technical direction, mentoring, and project delivery ownership.

Responsibilities

• Design and develop LLM orchestration and prompt engineering for complex, long-running workflows.
• Design human-in-the-loop mechanisms and ensure transparency and explainability of AI-driven decisions.
• Develop robust evaluation frameworks, guardrails, and reliability engineering practices for LLM-powered systems.
• Develop multi-agent systems including agent roles, coordination, memory management, and goal alignment.
• Integrate, optimize, and evaluate LLMs across agentic AI, retrieval augmented generation (RAG), and prompt management platforms.
• Build data pipelines and automation for ingesting, transforming, and monitoring diverse content sources.
• Collaborate with AI Product Management, UI/UX Design, Architecture, Data Acquisition, and Data Lakehouse Engineering teams.
• Own project delivery timelines, manage risks and dependencies, and ensure successful on-time execution.
• Stay up to date with emerging AI/ML frameworks, techniques, and tooling.

Qualifications

• Bachelor's or master's degree in computer science, engineering, or a related technical field.
• Proven software engineering experience with a strong record of leading and delivering successful projects.
• Deep understanding of software architecture, microservices, API design, and event-driven patterns.
• Proficiency in modern programming languages such as Java or Python.
• Hands-on experience with AI / LLM technologies, including prompt engineering, evaluation, fine-tuning, embeddings, RAG, and model deployment.
• Experience with cloud platforms (AWS) and containerization technologies such as Docker and Kubernetes.
• Familiarity with observability practices (metrics, distributed tracing, log aggregation), CI/CD pipelines, and DevOps practices.
• Strong problem solving, communication, leadership skills and ability to operate independently while enabling team success.

Nice to Have

• Experience building AI infrastructure—evaluation pipelines, prompt/version management, vector or embedding stores, and model serving—with ability to optimize and fine-tune models for latency, quality, and cost.

Additional Information

• Working location: Bangkok, Thailand (onsite).
• Shift: Standard Mon–Fri 9AM–6PM Thai time.
• Employment type: Full-time.
• Language proficiency: English proficiency is mandatory; native Thai.

About the Company

Cognizant engineers modern businesses, helping clients modernize technology, reimagine processes and transform experiences so they can stay ahead in a fast-changing world.