AI Architect
Listed on 2026-08-22
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
HCLTech is seeking an experienced AI Architect to lead the design and implementation of next-generation Artificial Intelligence solutions. This role will focus on architecting enterprise-scale AI platforms, Large Language Model (LLM) applications, Retrieval-Augmented Generation (RAG) systems, and multi-agent AI workflows that drive measurable business outcomes.
The ideal candidate will possess deep expertise in AI/ML architecture, cloud-native technologies, data engineering, and modern generative AI frameworks while serving as a technical leader for cross-functional engineering teams.
Key Responsibilities- Design and implement enterprise-scale AI and Generative AI platforms.
- Architect intelligent applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI frameworks.
- Develop multi-agent workflows utilizing technologies such as Lang Chain
, Lang Graph
, and related orchestration frameworks. - Define scalable AI architecture patterns, integration strategies, and deployment models.
- Design AI-ready data models and data architectures.
- Establish scalable data pipelines, ETL processes, and vector database architectures.
- Ensure data governance, quality, security, and compliance standards are maintained.
- Collaborate with data engineering teams to optimize data ingestion and retrieval strategies.
- Build and deploy AI solutions on cloud platforms including:
- AWS (Sage Maker)
- Architect containerized AI workloads using Docker and Kubernetes
. - Optimize infrastructure for scalability, reliability, and cost efficiency.
- Monitor model performance, inference costs, latency, and operational KPIs.
- Establish evaluation frameworks for model quality and reliability.
- Implement strategies to minimize hallucinations and improve AI response accuracy.
- Drive continuous improvement through benchmarking and performance testing.
- Implement AI security best practices, privacy controls, and responsible AI frameworks.
- Protect sensitive data and prevent data leakage within AI ecosystems.
- Ensure compliance with enterprise governance and regulatory requirements.
- Partner with business stakeholders to align AI investments with strategic business objectives.
- Lead technical architecture decisions and design reviews.
- Guide engineering teams through technology selection, design trade-offs, and implementation planning.
- Mentor engineers and promote AI architectural best practices.
- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
- 10+ years of software engineering and solution architecture experience.
- 5+ years of hands‑on experience building AI/ML solutions in production environments.
- Strong expertise with:
- Python
- Java
- Py Torch
- Tensor Flow
- Experience working with:
- Retrieval-Augmented Generation (RAG)
- Agentic AI / Multi-Agent Systems
- Lang Chain
- Lang Graph
- Deep understanding of data engineering concepts, ETL processes, vector databases, and AI data pipelines.
- Hands‑on experience with cloud platforms (AWS, Azure, GCP).
- Experience with Docker, Kubernetes, and MLOps practices.
- Expertise in prompt engineering, model evaluation, and observability platforms.
- Knowledge of Responsible AI, AI governance, and compliance frameworks.
- Experience with vector databases such as Pinecone, Weaviate, Chroma, Milvus, or similar technologies.
- AI/Cloud certifications from AWS, Azure, or Google Cloud.
- Work on cutting‑edge AI and Generative AI initiatives.
- Collaborate with highly skilled architects, data scientists, and engineering teams.
- Drive AI transformation for global enterprise clients.
- Opportunity to shape next‑generation intelligent platforms and solutions.
Pay Range Minimum: $ 87,000 per year
Pay Range Maximum: $ 160,000 per year
HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in…
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