AI Architect

HCLTech; Hoboken (NJ); On-site; USD 87,000 - 160,000; Full time

Benefits offered by this job

401(k) retirement plan

Paid time off

Paid holidays

Health insurance

Dental/Vision coverage

Job summary

HCLTech seeks an experienced AI Architect to lead design and implementation of enterprise-scale AI platforms, including LLM apps, RAG systems, and multi-agent workflows. You will guide cross‑functional teams, define scalable architectures, and ensure governance and security across data pipelines.

The role emphasizes cloud-native design, data governance, and delivery of production AI solutions on AWS, with Docker/Kubernetes for containerization and cost-efficient scalability.

Qualifications

• 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, PyTorch, TensorFlow.
• Experience with RAG, Agentic AI / Multi-Agent Systems, LangChain, LangGraph.
• 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.

Responsibilities

• Design and implement enterprise-scale AI and Generative AI platforms.
• Architect intelligent applications using LLMs, RAG, and agentic AI frameworks.
• Develop multi-agent workflows using LangChain, LangGraph, 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.
• Collaborate with data engineering to optimize data ingestion and retrieval strategies.
• Build and deploy AI solutions on AWS (SageMaker) and containerize with Docker/Kubernetes.

Skills

Python

Java

PyTorch

TensorFlow

RAG

Agentic AI

LangChain

LangGraph

Data engineering

ETL

Vector databases

AWS

Azure

GCP

Docker

Kubernetes

MLOps

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

LangChain

LangGraph

Job description

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 LangChain, LangGraph, 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 (SageMaker)
• Architect containerized AI workloads using Docker and Kubernetes.
• Optimize infrastructure for scalability, reliability, and cost efficiency.

Model Governance & Optimization

• 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.

Security & Compliance

• 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.

Required Qualifications

• 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
• PyTorch
• TensorFlow
• Experience working with:
• Retrieval-Augmented Generation (RAG)
• Agentic AI / Multi-Agent Systems
• LangChain
• LangGraph
• 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.

Preferred Qualifications

• 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.

Why Join HCLTech?

• 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 and Benefits

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 accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to [e-mail] for investigation.

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

How You’ll Grow

At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior‑level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.